Martin Ester

41.9k total citations · 9 hit papers
175 papers, 26.7k citations indexed

About

Martin Ester is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Martin Ester has authored 175 papers receiving a total of 26.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Artificial Intelligence, 79 papers in Information Systems and 39 papers in Signal Processing. Recurrent topics in Martin Ester's work include Recommender Systems and Techniques (40 papers), Data Management and Algorithms (39 papers) and Data Mining Algorithms and Applications (35 papers). Martin Ester is often cited by papers focused on Recommender Systems and Techniques (40 papers), Data Management and Algorithms (39 papers) and Data Mining Algorithms and Applications (35 papers). Martin Ester collaborates with scholars based in Canada, China and Germany. Martin Ester's co-authors include Xiaowei Xu, Jörg Sander, Hans‐Peter Kriegel, Mohsen Jamali, Erich Schubert, Fiona S. L. Brinkman, Matthew R. Laird, Samaneh Moghaddam, Yao Wu and Phuong Dao and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Martin Ester

165 papers receiving 25.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A density-based algorithm for discovering clusters in large spatial Databases with Noise

1996 12.5k citations Martin Ester, Hans‐Peter Kriegel et al. Knowledge Discovery and Data Mining profile →
PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes

2010 1.9k citations Martin Ester et al. Bioinformatics profile →
DBSCAN Revisited, Revisited

2017 1.5k citations Jörg Sander, Martin Ester et al. profile →
A matrix factorization technique with trust propagation for recommendation in social networks

2010 1.1k citations Martin Ester et al. profile →
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

1998 967 citations Jörg Sander, Martin Ester et al. profile →
A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise

1996 810 citations Martin Ester, Hans‐Peter Kriegel et al. Knowledge Discovery and Data Mining profile →
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

2016 650 citations Yao Wu, Martin Ester et al. profile →
PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis

2004 610 citations Martin Ester et al. Bioinformatics profile →
TrustWalker

2009 548 citations Martin Ester et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Martin Ester	10.6k	6.4k	4.9k	4.8k	3.8k	175	26.7k
Jörg Sander	15.1k 1.4×	3.7k 0.6×	7.3k 1.5×	5.6k 1.2×	1.8k 0.5×	97	29.4k
Huan Liu	14.3k 1.4×	9.6k 1.5×	2.8k 0.6×	3.9k 0.8×	1.8k 0.5×	470	25.3k
Hui Xiong	10.6k 1.0×	6.0k 0.9×	3.8k 0.8×	3.7k 0.8×	1.1k 0.3×	624	26.5k
Nitesh V. Chawla	18.1k 1.7×	4.8k 0.7×	2.3k 0.5×	3.0k 0.6×	2.7k 0.7×	320	33.5k
Eibe Frank	18.3k 1.7×	9.1k 1.4×	3.9k 0.8×	5.0k 1.0×	4.8k 1.3×	102	38.5k
Charų C. Aggarwal	14.3k 1.4×	5.8k 0.9×	4.8k 1.0×	3.7k 0.8×	1.1k 0.3×	363	23.7k
Xiaowei Xu	7.3k 0.7×	2.8k 0.4×	4.0k 0.8×	3.8k 0.8×	1.2k 0.3×	56	17.5k
Hans‐Peter Kriegel	19.8k 1.9×	5.9k 0.9×	13.1k 2.7×	8.9k 1.9×	2.2k 0.6×	218	39.3k
George Karypis	12.7k 1.2×	14.3k 2.2×	3.9k 0.8×	7.0k 1.5×	2.7k 0.7×	342	35.5k
Vipin Kumar	14.0k 1.3×	4.9k 0.8×	4.7k 1.0×	2.7k 0.6×	1.3k 0.3×	304	25.9k

Countries citing papers authored by Martin Ester

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Martin Ester

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ester. A scholar is included among the top collaborators of Martin Ester based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Ester. Martin Ester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Yen‐Yi, et al.. (2025). scMUSCL: multi-source transfer learning for clustering scRNA-seq data. Bioinformatics. 41(5).

Pandey, Mohit, Jane Foo, Morgan A. Alford, et al.. (2025). A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery. Nature Communications. 16(1). 11685–11685.

Lin, Yen‐Yi, et al.. (2024). Phenotype prediction from single-cell RNA-seq data using attention-based neural networks. Bioinformatics. 40(2). 8 indexed citations

Arab, Ali, Bahareh Kashani, Wan‐Chun Chang, et al.. (2024). Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4. Computers in Biology and Medicine. 183. 109324–109324. 5 indexed citations

Sharifi-Noghabi, Hossein, Petr Smirnov, C. Suk-Yee Hon, et al.. (2021). Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models. Briefings in Bioinformatics. 22(6). 36 indexed citations

Sharifi-Noghabi, Hossein, et al.. (2020). AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics. Bioinformatics. 36(Supplement_1). i380–i388. 37 indexed citations

Zolotareva, Olga, et al.. (2020). Identification of differentially expressed gene modules in heterogeneous diseases. Bioinformatics. 37(12). 1691–1698. 5 indexed citations

Wu, Yao, et al.. (2020). SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering. 34(4). 1980–1992. 17 indexed citations

Sharifi-Noghabi, Hossein, Olga Zolotareva, Colin C. Collins, & Martin Ester. (2019). MOLI: multi-omics late integration with deep neural networks for drug response prediction. Bioinformatics. 35(14). i501–i509. 248 indexed citations

10.

Grande, Bruno M., et al.. (2019). SUBSTRA: Supervised Bayesian Patient Stratification. Bioinformatics. 35(18). 3263–3272. 4 indexed citations

11.

Ester, Martin, et al.. (2019). Uncovering the subtype-specific temporal order of cancer pathway dysregulation. PLoS Computational Biology. 15(11). e1007451–e1007451. 5 indexed citations

12.

Tayebi, Mohammad A., Martin Ester, Uwe Glässer, & Patricia L. Brantingham. (2014). Crimetracer: activity space based crime location prediction. 472–480. 13 indexed citations

13.

Li, Cuiping, Anthony K. H. Tung, Wen Jin, & Martin Ester. (2007). On dominating your neighborhood profitably. Very Large Data Bases. 818–829. 18 indexed citations

14.

Pei, Jian, Wen Jin, Martin Ester, & Yufei Tao. (2005). Catching the best views of skyline: a semantic approach based on decisive subspaces. Very Large Data Bases. 253–264. 164 indexed citations

15.

Jin, Wen, et al.. (2004). Mining thick skylines over large databases. Lecture notes in computer science. 3202. 255–266. 19 indexed citations

16.

Fung, Benjamin C. M., Ke Wang, & Martin Ester. (2003). Hierarchical Document Clustering Using Frequent Itemsets. 59–70. 272 indexed citations

17.

Ester, Martin, Hans‐Peter Kriegel, Jörg Sander, Michael Wimmer, & Xiaowei Xu. (1998). Incremental Clustering for Mining in a Data Warehousing Environment. Very Large Data Bases. 323–333. 296 indexed citations

18.

Ester, Martin, Hans‐Peter Kriegel, Jörg Sander, & Xiaowei Xu. (1998). Clustering for Mining in Large Spatial Databases.. Künstliche Intell.. 12. 18–24. 39 indexed citations

19.

Ester, Martin, Hans‐Peter Kriegel, Jörg Sander, & Xiaowei Xu. (1996). A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise. Knowledge Discovery and Data Mining. 226–231. 810 indexed citations breakdown →

20.

Ester, Martin, Hans‐Peter Kriegel, & Xiaowei Xu. (1995). A database interface for clustering in large spatial databases. Knowledge Discovery and Data Mining. 94–99. 80 indexed citations

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.

Explore authors with similar magnitude of impact