Martin Ester
Impact in
- Signal Processing top 0.02%
- Data Management and Algorithms
- Artificial Intelligence top 0.02%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
Papers in
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- Data Mining Algorithms and Applications 52
- Recommender Systems and Techniques 40
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- Advanced Clustering Algorithms Research 28
- Advanced Graph Neural Networks 18
- Co-authors
- Xiaowei Xu (16 shared papers)Jörg Sander (22 shared papers)Hans‐Peter Kriegel (28 shared papers)Mohsen Jamali (14 shared papers)Erich Schubert (1 shared paper)Samaneh Moghaddam (9 shared papers)Fiona S. L. Brinkman (4 shared papers)Matthew R. Laird (2 shared papers)
In The Last Decade
Martin Ester
202 papers receiving 29.7k citations
Martin Ester's Hit Papers
Peers
Comparison fields: 5 of 230
- Signal Processing 6.5k
- Artificial Intelligence 12.7k
- Information Systems 8.1k
- Transportation 2.3k
- Computer Vision and Pattern Recognition 5.6k
Countries citing papers authored by Martin Ester
This map shows the geographic impact of Martin Ester's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Ester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Ester more than expected).
Fields of papers citing papers by Martin Ester
This network shows the impact of papers produced by Martin Ester. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Ester. The network helps show where Martin Ester may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Ester, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A density-based algorithm for discovering clusters in large spatial Databases with Noise Hit paper breakdown → | 1996 | 14355 |
| 2 | PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes Hit paper breakdown → | 2010 | 1996 |
| 3 | DBSCAN Revisited, Revisited Hit paper breakdown → | 2017 | 1749 |
| 4 | A matrix factorization technique with trust propagation for recommendation in social networks Hit paper breakdown → | 2010 | 1256 |
| 5 | Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications Hit paper breakdown → | 1998 | 1142 |
| 6 | A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise Hit paper breakdown → | 1996 | 881 |
| 7 | Collaborative Denoising Auto-Encoders for Top-N Recommender Systems Hit paper breakdown → | 2016 | 728 |
| 8 | PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis Hit paper breakdown → | 2004 | 629 |
| 9 | TrustWalker Hit paper breakdown → | 2009 | 625 |
| 10 | 2002 | 401 | |
| 11 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | 372 |
| 12 | SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines Hit paper breakdown → | 2017 | 358 |
| 13 | 2003 | 338 | |
| 14 | MOLI: multi-omics late integration with deep neural networks for drug response prediction Hit paper breakdown → | 2019 | 272 |
| 15 | 2002 | 231 | |
| 16 | Catching the best views of skyline: a semantic approach based on decisive subspaces | 2005 | 199 |
| 17 | 1997 | 189 | |
| 18 | 2018 | 174 | |
| 19 | 2000 | 168 | |
| 20 | 2013 | 162 |
About Martin Ester
Martin Ester is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Molecular Biology and Computer Networks and Communications, having authored 211 papers that have together received 31.3k indexed citations. Recurring topics across this work include Data Management and Algorithms (59 papers), Data Mining Algorithms and Applications (52 papers), Recommender Systems and Techniques (40 papers), Complex Network Analysis Techniques (32 papers), Advanced Clustering Algorithms Research (28 papers), Advanced Database Systems and Queries (22 papers), Advanced Graph Neural Networks (18 papers) and Bioinformatics and Genomic Networks (17 papers). The work is most often cited by research in Signal Processing (6.5k citations), Artificial Intelligence (12.7k citations), Information Systems (8.1k citations), Transportation (2.3k citations) and Computer Vision and Pattern Recognition (5.6k citations). Martin Ester has collaborated with scholars based in Canada, Germany and China. Frequent co-authors include Xiaowei Xu, Jörg Sander, Hans‐Peter Kriegel, Mohsen Jamali, Erich Schubert, Samaneh Moghaddam, Fiona S. L. Brinkman, Matthew R. Laird, Yao Wu and Phuong Dao. Their work appears in journals such as Bioinformatics, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, PLoS ONE and ACM Transactions on Database Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.