The categories of publications needed in TUM are not ideal for our field, but we have to adhere to it

Accepted / In Print / In Revision

Quality (A)

  1. Yin, W., Xue, Y., Li, H., Deng, J., Zhang, S., Ikram, Q. D., Koumi, K. J.-C., & Werner, M. Review article: Recent advances in the development of disaster remote sensing. Natural Hazards and Earth System Sciences. Impact Factor 2023: 4.2, CiteScore: 7.6, Under Review.
  2. Luo, X., & Werner, M. One-dimensional Path Convolution. The 42nd International Conference on Machine Learning. Under Review.
  3. Luo, X., Fogarasi, G., Syrgak, A., Walther, P., & Werner, M. Quantization-Aware Training for Efficient On-Board Object Detection on FPGAs: Case Studies. IEEE Geoscience and Remote Sensing Letters. Impact Factor 2023: 4.0, CiteScore: 7.6, Under Review.
  4. Yin, W., Deuser, F., Liu, Z., Wei, J., Luo, X., Werner, M., Li, H., & Xue, Y. Triple-objective cross-view geolocalization of disaster-related VGI: the case of Hurricane Ian. International Journal of Geographical Information Science. Impact Factor 2023: 4.3, CiteScore: 11.0, Under Review.
  5. Kiprit, G. N., Koch, A., Petry, M., & Werner, M. Augmented temporal grid for Graph Neural Networks and Anomaly Detection in Spacecraft. Springer Astrodynamics. Impact Factor 2023: 2.7, CiteScore: 5.0, Minor Revision.
  6. Deuser, F., Hausenblas, P., Schieber, H., Roth, D., Werner, M., & Oswald, N. Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning. 42nd International Conference on Machine Learning (ICML). CORE Ranking 2023: A*, Under Review.
  7. Zollner, J. M., & Werner, M. Lifetime Clustering. 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Under Review, CORE Ranking 2023: A*.
  8. Mansour, W., Walther, P., Li, H., & Werner, M. Investigate the Applicability of the Segment Anything Model for Large-scale Geospatial Segmentation. International Journal of Geographical Information Science. Impact Factor 2023: 4.3, CiteScore: 11.0, Under Review; Major Revision.

Quality (B)

  1. Teuscher, B., & Werner, M. (2025). Point Cloud Data Management for Analytics in a Lakehouse. AGILE: GIScience Series, 6. Accepted. Short Paper.
  2. Soares, N., Walther, P., & Werner, M. (2025). Experiments on Geospatial Data Modelling for Long-Term Trajectory Prediction of Aircrafts. AGILE: GIScience Series, 6. Accepted. Poster.

Quality (C)

  1. Yin, W., Deuser, F., Zhang, S., Wang, Y., Xue, Y., Werner, M., & Li, H. Disaster-related VGI geolocalization using multimodal information: a case study of hurricane ian. Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Quality (A)

Peer-reviewed original work: international journals with impact factor, full papers in selective conferences of computer science if and only if the review process is at least as selective as the process of comparable journals in the field.

  1. Yin, W., Xue, Y., Liu, Z., Li, H., & Werner, M. (2025). LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey. International Journal of Applied Earth Observation and Geoinformation, 137, 104423. Impact Factor 2023: 7.6, CiteScore: 12.0.
  2. Fang, C., Zhou, L., Gu, X., Liu, X., & Werner, M. (2025). A data driven approach to urban area delineation using multi source geospatial data. Scientific Reports, 15(1), 8708. https://doi.org/10.1038/s41598-025-93366-x DOI: 10.1038/s41598-025-93366-x.
  3. Zollner, J. M., & Werner, M. (2025). A randomized transformation for data processing on quantum computers. Quantum Machine Intelligence, 7(1), 22. https://doi.org/10.1007/s42484-025-00250-y 5-year Journal Impact Factor: 4.6. DOI: 10.1007/s42484-025-00250-y.
  4. Hu, Y., Zollner, J. M., Höschen, C., Werner, M., & Schweizer, S. A. (2024). Automated identification of soil functional components based on NanoSIMS data. Ecological Informatics, 102891. https://doi.org/10.1016/j.ecoinf.2024.102891 Impact Factor 2023: 5.9, CiteScore: 8.3.. DOI: 10.1016/j.ecoinf.2024.102891.
  5. Mansour, W., & Werner, M. (2024). Calculating Upstream Relation in Spatial Networks Under Path Constraints. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 314–324. https://doi.org/10.1145/3678717.3691288 CORE Ranking 2023: A. DOI: 10.1145/3678717.3691288.
  6. Walther, P., Deuser, F., & Werner, M. (2024). Multi-Modal Contextualization of Trajectory Data for Advanced Analysis. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00484-3 DOI: 10.1007/s13222-024-00484-3.
  7. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2025). Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN. ISPRS Journal of Photogrammetry and Remote Sensing, 220, 841–854. https://doi.org/https://doi.org/10.1016/j.isprsjprs.2025.01.003 Impact Factor 2023: 10.6, CiteScore: 21.0.. DOI: https://doi.org/10.1016/j.isprsjprs.2025.01.003.
  8. Petry, M., Parlier, B., Koch, A., & Werner, M. (2024). Auto-Regressive RF Synchronization Using Deep-Learning. IEEE International Conference on Machine Learning for Communication and Networking.
  9. Teuscher, B., & Werner, M. (2024). Random Data Distribution for Efficient Parallel Point Cloud Processing. AGILE: GIScience Series, 5, 15. https://doi.org/10.5194/agile-giss-5-15-2024 DOI: 10.5194/agile-giss-5-15-2024.
  10. Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A., Gamba, P., Benediktsson, J. A., & Chanussot, J. (2024). SpectralGPT: Spectral Remote Sensing Foundation Model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–18. https://doi.org/10.1109/TPAMI.2024.3362475 Impact Factor 2023: 20.8, CiteScore: 28.4.. DOI: 10.1109/TPAMI.2024.3362475.
  11. Zollner, J. M., Walther, P., & Werner, M. (2024). Satellite Image Representations for Quantum Classifiers. Datenbank-Spektrum, 1–9. https://doi.org/10.1007/s13222-024-00464-7 DOI: 10.1007/s13222-024-00464-7.
  12. Liu, Z., Fang, C., Li, H., Wu, J., Zhou, L., & Werner, M. (2024). Efficiency and equality of the multimodal travel between public transit and bike-sharing accounting for multiscale. Sustainable Cities and Society, 101, 105096. https://doi.org/10.1016/j.scs.2023.105096 Impact Factor 2023: 10.5, CiteScore: 22.0.. DOI: 10.1016/j.scs.2023.105096.
  13. Hong, D., Zhang, B., Li, H., Li, Y., Yao, J., Li, C., Werner, M., Chanussot, J., Zipf, A., & Zhu, X. X. (2023). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sensing of Environment, 299, 113856. https://doi.org/10.1016/j.rse.2023.113856 Impact Factor 2023: 11.1, CiteScore: 25.1.. DOI: 10.1016/j.rse.2023.113856.
  14. Li, H., Wang, J., Zollner, J. M., Mai, G., Lao, N., & Werner., M. (2023). Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. Proceedings of the 31st International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3589132.3625598 CORE Ranking 2023: A. DOI: 10.1145/3589132.3625598.
  15. Werner, M., Li, H., Zollner, J. M., Teuscher, B., & Deuser., F. (2023). Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation (Data and Resources Paper). Proceedings of the 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATAIL GIS’23). https://doi.org/10.1145/3589132.3625658 Dataset Paper. CORE Ranking 2023: A. DOI: 10.1145/3589132.3625658.
  16. Li, H., Yuan, Z., Dax, G., Kong, G., Fan, H., Zipf, A., & Werner, M. (2023). Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) (Vol. 277, pp. 7:1–7:15). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GIScience.2023.7 DOI: 10.4230/LIPIcs.GIScience.2023.7.
  17. Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2024). Efficient In-Memory Point Cloud Query Processing. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), Recent Advances in 3D Geoinformation Science (pp. 267–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43699-4_16 Series Title: Lecture Notes in Geoinformation and Cartography. DOI: 10.1007/978-3-031-43699-4_16.
  18. Xiong, Z., Stober, D., Krstić, M., Korup, O., Arango, M. I., Li, H., & Werner, M. (2023). Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-X-5-W1-2023-75-2023 DOI: 10.5194/isprs-annals-X-5-W1-2023-75-2023.
  19. Teuscher, B., Xiong, Z., & Werner, M. (2023). An Augmentation Framework for Efficiently Extracting Open Educational Resources from Slideshows. 9th International Conference on Higher Education Advances (HEAd’23). https://doi.org/10.4995/HEAd23.2023.16169 DOI: 10.4995/HEAd23.2023.16169.
  20. Knoblauch, S., Li, H., Lautenbach, S., Elshiaty, Y., Rocha, A. A. de A., Resch, B., Arifi, D., Jänisch, T., Morales, I., & Zipf, A. (2023). Semi-supervised water tank detection to support vector control of emerging infectious diseases transmitted by Aedes Aegypti. International Journal of Applied Earth Observation and Geoinformation, 119, 103304. https://doi.org/10.1016/j.jag.2023.103304 Impact Factor 2023: 7.6, CiteScore: 12.0.. DOI: 10.1016/j.jag.2023.103304.
  21. Dax, G., Nagarajan, S., Li, H., & Werner, M. (2022). Compression Supports Spatial Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). https://doi.org/10.1109/JSTARS.2022.3226563 Impact Factor 2023: 4.7, CiteScore: 9.3.. DOI: 10.1109/JSTARS.2022.3226563.
  22. Gao, F., Du, Z., Fang, C., Zhou, L., & Werner, M. (2022). A spatio-temporal cognitive framework for individual route choice in outdoor evacuation scenario. ISPRS International Journal of Geo-Information. Impact Factor 2023: 2.8, CiteScore: 6.9..
  23. Zhu, X. X., Wang, Y., Kochupillai, M., Werner, M., Häberle, M., Hoffmann, E. J., Taubenböck, H., Tuia, D., Levering, A., Jacobs, N., & others. (2022). Geoinformation harvesting from social media data: A community remote sensing approach. IEEE Geoscience and Remote Sensing Magazine, 10(4), 150–180. https://doi.org/10.1109/MGRS.2022.3219584 Impact Factor 2023: 16.2, CiteScore: 20.5.. DOI: 10.1109/MGRS.2022.3219584.
  24. Hu, X., Zhou, Z., Li, H., Hu, Y., Gu, F., Kersten, J., Fan, H., & Klan, F. (2023). Location Reference Recognition from Texts: A Survey and Comparison. ACM Comput. Surv. https://doi.org/10.1145/3625819 Impact Factor 2023: 23.8. DOI: 10.1145/3625819.
  25. Gao, F., Du, Z., Werner, M., & Zhao, Y. (2022). An improved optimization model for crowd evacuation considering individual exit choice preference. Transactions in GIS. https://doi.org/10.1111/tgis.12984 Impact Factor 2023: 2.1, CiteScore: 4.6.. DOI: 10.1111/tgis.12984.
  26. Dax, G., & Werner, M. (2021). Information-optimal Abstaining for Reliable Classification of Building Functions. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). https://doi.org/10.1553/giscience2021_01_s68 DOI: 10.1553/giscience2021_01_s68.
  27. Werner, M. (2021). GloBiMapsAI – An AI-Enhanced Probabilistic Data Structure for Global Raster Datasets. ACM Transactions on Spatial Algorithms and Systems. . https://doi.org/10.1145/3453184 DOI: 10.1145/3453184.

Quality (B)

Peer-reviewed conference papers or short papers published in respected international workshops and venues.

  1. Deuser, F., Werner, M., Habel, K., & Oswald, N. (2024). Optimizing Geo-Localization with k-Means Re-Ranking in Challenging Weather Conditions. Proceedings of the 2nd Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 9–13. https://doi.org/10.1145/3689095.3689099 CORE Ranking 2023: A*. DOI: 10.1145/3689095.3689099.
  2. Deuser, F., Mansour, W., Li, H., Habel, K., Werner, M., & Oswald, N. (2025). Temporal Resilience in Geo-Localization: Adapting to the Continuous Evolution of Urban and Rural Environments. Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 479–488. Best Paper Award in the GeoCV Workshop. [Online].
  3. Petry, M., Koch, A., & Werner, M. (2024). Zero-Copy AI-augmented Signal Processing Pipeline on Heterogeneous Satellite Processors. Asilomar Conference on Signals, Systems, and Computers 2024. https://doi.org/10.1109/IEEECONF60004.2024.10943093 CORE Rankings: National / C. DOI: 10.1109/IEEECONF60004.2024.10943093.
  4. Petry, M., & Mayr, R. (2024). AI-enabled 5G base-station with Hardware Acceleration for Non-Terrestrial Networks on a Space-Grade System-on-Chip. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. https://doi.org/10.5281/zenodo.13885601 DOI: 10.5281/zenodo.13885601.
  5. Wölki, N., Kondmann, L., Mollière, C., Langer, M., Werner, M., & Gottfriedsen, J. (2024). Exploring Machine Learning for Cloud Segmentation in Thermal Satellite Images of the FOREST-2 Mission . Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. https://doi.org/10.5281/zenodo.13885621 DOI: 10.5281/zenodo.13885621.
  6. Walther, P., Luo, X., & Werner, M. (2024). TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations. 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. https://doi.org/10.1145/3681768.3698496 DOI: 10.1145/3681768.3698496.
  7. Teuscher, B., & Werner, M. (2024). PC-LMT: The Point Cloud Log Merge Tree for the Helena Point Cloud Database. Proceedings of the 12th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 1–9. https://doi.org/10.1145/3681763.3698476 DOI: 10.1145/3681763.3698476.
  8. Wang, Z., Du, X., Li, H., & Werner, M. (2024). Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 22–28. https://doi.org/10.1145/3681769.3698582 DOI: 10.1145/3681769.3698582.
  9. Kiprit, G. N., Koch, A., Petry, M., & Werner, M. (2024). Graph Neural Networks for Anomaly Detection in Spacecraft. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space.
  10. Koch, A., Petry, M., & Werner, M. (2024). AI-augmented Anomaly Detection Pipeline for Real-Time Onboard Processing of Spacecraft Telemetry. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space.
  11. Koch, A., Petry, M., & Werner, M. (2024). Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine Learning. Proceedings of MulTiSA 2024, the 1st Workshop on Multivariate Time Series Analytics in Conjunction with ICDE 24, 1–8. https://doi.org/10.1109/ICDEW61823.2024.00025 DOI: 10.1109/ICDEW61823.2024.00025.
  12. Li, H., Wang, J., Teuscher, B., Luoa, P., Hong, D., Mai, G., & Werner, M. (2024). GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding. ICLR 2024 Workshop on Machine Learning in Remote Sensing(ML4RS).
  13. Walther, P. (2024). Advancements of Randomized Data Structures for Geospatial Data. In H. V. J. Themis Palpanas (Ed.), Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference (Number 3651). https://ceur-ws.org/Vol-3651/PhDW-1.pdf Peer-Reviewed Doctoral Symposium Paper.
  14. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 ACM SIGSPATIAL GIS Cup - 2nd place. DOI: 10.1145/3589132.3629971.
  15. Deuser, F., Habel, K., Werner, M., & Oswald, N. (2023). Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation. Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 7–11. Winner of the ACM MULTIMEDIA Drone Localization Challenge.
  16. Petry, M., Koch, A., & Werner, M. (2023). Envisioning Physical Layer Flexibility Through the Power of Machine-Learning. 2023 IEEE Globecom Workshops (GC Wkshps), 50–55. https://doi.org/10.1109/GCWkshps58843.2023.10464871 CORE Ranking: B.. DOI: 10.1109/GCWkshps58843.2023.10464871.
  17. Heller-Kaikov, B., Pail, R., & Werner, M. (2023). Signal Separation in Global, Temporal Gravity Data. Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. https://doi.org/10.1145/3615886.3627743 DOI: 10.1145/3615886.3627743.
  18. Zollner, J. M. (2022). Quantum Classifiers for Remote Sensing. Proceedings of the 30th International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3557915.3565537 ACM Student Research Competition Submission, 2nd place.. DOI: 10.1145/3557915.3565537.
  19. Werner, M., & Li, H. (2022). AtlasHDF: An Efficient Big Data Framework for GeoAI. 1–7. https://doi.org/10.1145/3557917.3567615 DOI: 10.1145/3557917.3567615.
  20. Laass, M. (2021). Point in Polygon Tests Using Hardware Accelerated Ray Tracing. 6th ACM SIGSPATIAL Student Research Competition (SIGSPATIAL ’21). https://doi.org/10.1145/3474717.348679 DOI: 10.1145/3474717.348679.
  21. Dax, G., & Werner, M. (2021). Trajectory Similarity using Compression. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). https://doi.org/10.1109/MDM52706.2021.00035 Short Paper. DOI: 10.1109/MDM52706.2021.00035.
  22. Laass, M., Kiermeier, M., & Werner, M. (2021). Improving persistence based trajectory simplification. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). https://doi.org/10.1109/MDM52706.2021.00033 Short Paper. DOI: 10.1109/MDM52706.2021.00033.
  23. Raoofy, A., Dax, G., Ghiglione, M., Langer, M., Trinitis, C., Werner, M., & Schulz, M. (2021). Benchmarking Machine Learning Inference in FPGA-based Accelerated Space Applications. Proceedings of the Workshop on Benchmarking Machine Learning Workloads Co-Located with IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

Quality (C)

Publications that did not undergo full text peer review or where the peer review covered less than four page manuscripts (letters, posters, abstracts, extended abstracts, etc.)

  1. Liesenhoff, L., Wölki, N., Mollière, C., Laux, D., Werner, M., & Gottfriedsen, J. (2024). Transfer Learning for On-board Cloud Segmentation in Thermal Satellite Images of the FOREST-2 Mission. AGU24.
  2. Petry, M., Mayr, R., & Hennerich, M. (2024). 5G Base-Station with Hardware Acceleration for Non-Terrestrial Networks on a Space-Grade System-on-Chip. Proceedings of the 14th GNU Radio Conference. https://pubs.gnuradio.org/index.php/grcon/article/view/152 [Online].
  3. Petry, M., Wuwer, G., Koch, A., Gest, P., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning Inference on the Versal adaptive SoC in the Space Domain. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–8. https://doi.org/10.23919/EDHPC59100.2023.10396011 DOI: 10.23919/EDHPC59100.2023.10396011.
  4. Heller-Kaikov, B., Pail, R., & Werner, M. (2023, July). Gravity signal separation using a neural network. 28th IUGG General Assembly. https://doi.org/10.57757/IUGG23-2909 DOI: 10.57757/IUGG23-2909.
  5. Heller-Kaikov, B., Pail, R., & Werner, M. (2023). Separation of signal components in global gravity models. European Geosciences Union General Assembly. https://doi.org/10.57757/IUGG23-2909 DOI: 10.57757/IUGG23-2909.
  6. Koch, A., Krstova, A., Hegwein, F., De Lera, M. C., Ales, F., Petry, M., Ali, R., Mallah, M., Hili, L., Ghiglione, M., & Werner, M. (2023). On-Board Anomaly Detection on a Flight-Ready System. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–4. https://doi.org/10.23919/EDHPC59100.2023.10395967 DOI: 10.23919/EDHPC59100.2023.10395967.
  7. Koch, A., Dax, G., Petry, M., Gomez, H., Raoofy, A., Saroliya, U., Ghiglione, M., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Reference Implementations for Machine Learning Application Benchmark. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–3. https://doi.org/10.23919/EDHPC59100.2023.10396582 DOI: 10.23919/EDHPC59100.2023.10396582.
  8. Koch, A., Petry, M., Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Machine Learning Application Benchmark. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592769 DOI: 10.1145/3587135.3592769.
  9. Petry, M., Gest, P., Koch, A., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning Inference on FPGAs in the Space Domain. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592763 DOI: 10.1145/3587135.3592763.
  10. Petry, M., Koch, A., Werner, M., Hoch, U., Helfers, T., & Wiest, R. (2023). Machine Learning on Telecommunication Satellite. DATA SYSTEMS IN AEROSPACE - 2023 DASIA.
  11. Grinberger, A. Y., Liu, P., Li, H., Juhasz, L., & Minghini, M. (2022). OpenStreetMap, beyond just Data: The Academic Track at State of the Map 2022. Zenodo. https://doi.org/10.5281/zenodo.7004424 DOI: 10.5281/zenodo.7004424.
  12. Dax, G., & Werner, M. (2022). The Role of Compression in Spatial Computing. PhD Colloquium of the Deutsche Geodätische Kommission, Section on Geoinformatics.
  13. Denizoglu, D. G., Dax, G., Nagarajan, S., Zhang, N., & Werner, M. (2022). Global Active Fire Detection – Towards a SAR-enabled Multi-Sensor Global Monitoring System. Living Planet Symposium 2022.
  14. Raoofy, A., Dax, G., Serra, V., Ghiglione, M., Werner, M., & Trinitis, C. (2022). Benchmarking and Feasibility Aspects of Machine Learning in Space Systems. Proceedings of the 19th ACM International Conference on Computing Frontiers (CF’22). https://doi.org/10.1145/3528416.3530986 Invited Paper. DOI: 10.1145/3528416.3530986.
  15. Ghiglione, M., Serra, V., Raoofy, A., Dax, G., Trinitis, C., Werner, M., Schulz, M., & Furano, G. (2022). Survey of frameworks for inference of neural networks in space data system. Data Systems in Aerospace (DASIA). Eurospace.
  16. Laass, M., Dax, G., & Werner, M. (2022). A Randomized Data Structure for Point Clouds. Proceedings of the 7th Annual SDSC Conference and 17th 3D GeoInfo Conference.
  17. Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Wiest, R., Trinitis, C., Werner, M., Schulz, M., & Langer, M. (2021). Machine Learning Application Benchmark for In-Orbit On-Board Data Processing. 2nd European Workshop on On-Board Data Processing (OBDP21). https://doi.org/10.5281/zenodo.5520876 DOI: 10.5281/zenodo.5520876.
  18. Alam, S., Ahmed, M., Dax, G., & Werner, M. (2021). Change detection of Lake Starnberg, Germany using NDVI and Sentinel 2. Symposium Für Angewandte Geoinformatik (AGIT’2021).
  19. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021).
  20. Werner, M. (2021). Spatially Supervised Text Mining for Social Media Cleaning and Preprocessing. 12th International Symposium on Digital Earth (ISDE12). https://doi.org/10.1553/giscience2021_01_s68 DOI: 10.1553/giscience2021_01_s68.
  21. Zeya, S. M., Theofanidis, A., Dax, G., & Werner, M. (2021). Forest and Vegetation Monitoring using Sentinel-2 Imagery in the Northern Part of Democratic Republic of Congo. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). Poster..
  22. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. International Geoscience and Remote Sensing Symposium (IGARSS’21). https://doi.org/10.1109/MDM52706.2021.00033 DOI: 10.1109/MDM52706.2021.00033.
  23. Werner, M., Dax, G., & Laass, M. (2020). Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. In R. H. Reussner, A. Koziolek, & R. Heinrich (Eds.), 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September - 2. Oktober 2020: Vol. P-307 (pp. 1009–1017). GI. https://doi.org/10.18420/inf2020_95 DOI: 10.18420/inf2020_95.
  24. Artem Leichter, M. S., Martin Werner. (2020). Feature-Extraction from All-Scale Neighborhoods With Applications To Semantic Segmentation of Point Clouds. XXIV ISPRS Congress - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Quality (AR)

Review articles

  1. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., KIM, J.-S., … Zimányi, E. (2024). Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. https://doi.org/10.1145/3652158 DOI: 10.1145/3652158.
  2. Bill, R., Blankenbach, J., Breunig, M., Haunert, J.-H., Heipke, C., Herle, S., Maas, H.-G., Mayer, H., Meng, L., Rottensteiner, F., & others. (2022). Geospatial Information Research: State of the Art, Case Studies and Future Perspectives. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 90(4), 349–389. https://doi.org/10.1007/s41064-022-00217-9 Impact Factor 2023: 3.2, CiteScore: 2.1.. DOI: 10.1007/s41064-022-00217-9.
  3. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C., Kim, J.-S., … Zimányi, E. Mobility Data Science. Dagstuhl Reports - Schloss Dagstuhl Leibniz-Zentrum Für Informatik. https://drops.dagstuhl.de/opus/volltexte/2022/16919/ Report of a Dagstuhl Seminar on Mobility Data Science..
  4. Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martı́nez A, Izquierdo-Verdiguier, E., Muñoz-Marı́ J, Mosavi, A., & Camps-Valls, G. (2020). Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Information Fusion, 63, 256–272. https://doi.org/10.1016/j.inffus.2020.07.004 Impact Factor 2023: 14.8, CiteScore: 33.2.. DOI: 10.1016/j.inffus.2020.07.004.

Quality book (AB)

  1. Werner, M., & Chiang, Y.-Y. (Eds.). (2021). Handbook of Big Geospatial Data. Springer. https://doi.org/10.1007/978-3-030-55462-0 DOI: 10.1007/978-3-030-55462-0.
  2. Cavallaro, G., Heras, D. B., Lunga, D., Werner, M., & Züfle, A. (2021). Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data. ACM. https://doi.org/10.1145/3486640 DOI: 10.1145/3486640.
  3. Züfle, A., & Werner, M. (2020). Introduction to this special issue: SIGSPATIAL 2020 event reports. ACM SIGSPATIAL Special, 12(3), 1–2. https://doi.org/10.1145/3447994.3447995 DOI: 10.1145/3447994.3447995.

Quality other

  1. Yin, W., Xue, Y., Li, H., Deng, J., Zhang, S., Ikram, Q. D., Koumi, K. J.-C., & Werner, M. Review article: Recent advances in the development of disaster remote sensing. Natural Hazards and Earth System Sciences. Impact Factor 2023: 4.2, CiteScore: 7.6, Under Review.
  2. Yin, W., Deuser, F., Zhang, S., Wang, Y., Xue, Y., Werner, M., & Li, H. Disaster-related VGI geolocalization using multimodal information: a case study of hurricane ian. Proceedings of the 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  3. Luo, X., & Werner, M. One-dimensional Path Convolution. The 42nd International Conference on Machine Learning. Under Review.
  4. Luo, X., Fogarasi, G., Syrgak, A., Walther, P., & Werner, M. Quantization-Aware Training for Efficient On-Board Object Detection on FPGAs: Case Studies. IEEE Geoscience and Remote Sensing Letters. Impact Factor 2023: 4.0, CiteScore: 7.6, Under Review.
  5. Yin, W., Deuser, F., Liu, Z., Wei, J., Luo, X., Werner, M., Li, H., & Xue, Y. Triple-objective cross-view geolocalization of disaster-related VGI: the case of Hurricane Ian. International Journal of Geographical Information Science. Impact Factor 2023: 4.3, CiteScore: 11.0, Under Review.
  6. Kiprit, G. N., Koch, A., Petry, M., & Werner, M. Augmented temporal grid for Graph Neural Networks and Anomaly Detection in Spacecraft. Springer Astrodynamics. Impact Factor 2023: 2.7, CiteScore: 5.0, Minor Revision.
  7. Deuser, F., Hausenblas, P., Schieber, H., Roth, D., Werner, M., & Oswald, N. Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning. 42nd International Conference on Machine Learning (ICML). CORE Ranking 2023: A*, Under Review.
  8. Zollner, J. M., & Werner, M. Lifetime Clustering. 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Under Review, CORE Ranking 2023: A*.
  9. Teuscher, B., & Werner, M. (2025). Point Cloud Data Management for Analytics in a Lakehouse. AGILE: GIScience Series, 6. Accepted. Short Paper.
  10. Soares, N., Walther, P., & Werner, M. (2025). Experiments on Geospatial Data Modelling for Long-Term Trajectory Prediction of Aircrafts. AGILE: GIScience Series, 6. Accepted. Poster.
  11. Mansour, W., Walther, P., Li, H., & Werner, M. Investigate the Applicability of the Segment Anything Model for Large-scale Geospatial Segmentation. International Journal of Geographical Information Science. Impact Factor 2023: 4.3, CiteScore: 11.0, Under Review; Major Revision.