Martin Ester
Impact in
- Signal Processing top 0.1%
- Data Management and Algorithms
- Artificial Intelligence top 0.05%
- Advanced Clustering Algorithms Research
- Anomaly Detection Techniques and Applications
- Sentiment Analysis and Opinion Mining
Papers in
-
- Recommender Systems and Techniques 40
- Data Mining Algorithms and Applications 26
-
- Data Management and Algorithms 33
- Co-authors
- Hans‐Peter Kriegel (29 shared papers)Jörg Sander (23 shared papers)Xiaowei Xu (16 shared papers)Erich Schubert (1 shared paper)Mohsen Jamali (1 shared paper)Fiona S. L. Brinkman (4 shared papers)Samaneh Moghaddam (8 shared papers)Matthew R. Laird (2 shared papers)
In The Last Decade
Martin Ester
193 papers receiving 30.8k citations
Martin Ester's Hit Papers
Peers
Comparison fields: 5 of 216
- Signal Processing 2.5k
- Artificial Intelligence 9.7k
- Information Systems 6.2k
- Transportation 942
- Computer Vision and Pattern Recognition 2.7k
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 200 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 | 14760 |
| 2 | PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes Hit paper breakdown → | 2010 | 2054 |
| 3 | DBSCAN Revisited, Revisited Hit paper breakdown → | 2017 | 1931 |
| 4 | A matrix factorization technique with trust propagation for recommendation in social networks Hit paper breakdown → | 2010 | 1296 |
| 5 | Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications Hit paper breakdown → | 1998 | 1156 |
| 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 | 908 |
| 7 | Collaborative Denoising Auto-Encoders for Top-N Recommender Systems Hit paper breakdown → | 2016 | 775 |
| 8 | 2004 | 639 | |
| 9 | TrustWalker Hit paper breakdown → | 2009 | 636 |
| 10 | 2002 | 394 | |
| 11 | SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines Hit paper breakdown → | 2017 | 377 |
| 12 | Incremental Clustering for Mining in a Data Warehousing Environment | 1998 | 367 |
| 13 | 2003 | 333 | |
| 14 | 2019 | 295 | |
| 15 | 2002 | 234 | |
| 16 | Catching the best views of skyline: a semantic approach based on decisive subspaces | 2005 | 200 |
| 17 | 1997 | 189 | |
| 18 | 2018 | 184 | |
| 19 | 2000 | 166 | |
| 20 | 2013 | 165 |
About Martin Ester
Martin Ester is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 200 papers that have together received 32.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (40 papers), Data Management and Algorithms (33 papers), Advanced Clustering Algorithms Research (27 papers), Data Mining Algorithms and Applications (26 papers), Computational Drug Discovery Methods (14 papers), Complex Network Analysis Techniques (12 papers), Gene expression and cancer classification (12 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Signal Processing (2.5k citations), Artificial Intelligence (9.7k citations), Information Systems (6.2k citations), Transportation (942 citations) and Computer Vision and Pattern Recognition (2.7k citations). Martin Ester has collaborated with scholars based in Canada, Germany and China. Frequent co-authors include Hans‐Peter Kriegel, Jörg Sander, Xiaowei Xu, Erich Schubert, Mohsen Jamali, Fiona S. L. Brinkman, Samaneh Moghaddam, 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 Knowledge and Information 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.