Martin Ester

41.9k citations

175 papers · 26.7k indexed · 9 hit papers · h-index 44

Artificial Intelligence top 0.02%
Information Systems top 0.02%
Signal Processing top 0.05%
Computer Vision and Pattern Recognition top 0.1%
Molecular Biology top 2%

Co-authors: Xiaowei Xu Jörg Sander Hans‐Peter Kriegel Mohsen Jamali Erich Schubert Fiona S. L. Brinkman Matthew R. Laird Samaneh Moghaddam
Topics: Recommender Systems and Techniques (40 papers)Data Management and Algorithms (39 papers)Data Mining Algorithms and Applications (35 papers)
Cited by: Signal Processing Artificial Intelligence Transportation
Journals: Nature Communications Bioinformatics PLoS ONE
Partner nations: Canada China Germany

In The Last Decade

Martin Ester

165 papers receiving 25.3k citations

Hit Papers

5 papers align trajectories

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 →

Peers

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

#	Work	Indexed citations
1	scMUSCL: multi-source transfer learning for clustering scRNA-seq data 2025 ·Bioinformatics ·(unknown),(unknown),Yen‐Yi Lin,Colin C. Collins,Martin Ester	0
2	A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery 2025 ·Nature Communications ·Mohit Pandey,Jane Foo,(unknown),Morgan A. Alford,(unknown),(unknown),(unknown),Francesco Gentile,Nada Lallous,Evan F. Haney,Robert E. W. Hancock,Martin Ester,Artem Cherkasov	0
3	Phenotype prediction from single-cell RNA-seq data using attention-based neural networks 2024 ·Bioinformatics ·(unknown),Yen‐Yi Lin,Nelson K.Y. Wong,Stanislav Volik,(unknown),Colin C. Collins,Martin Ester	8
4	Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4 2024 ·Computers in Biology and Medicine ·Ali Arab,Bahareh Kashani,(unknown),(unknown),(unknown),(unknown),(unknown),Wan‐Chun Chang,Catrina M. Loucks,Colin J.D. Ross,Bruce Carleton,Martin Ester	5
5	Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks 2022 ·Molecules ·Mohit Pandey,(unknown),(unknown),(unknown),Michael Fernández,Martin Ester,Artem Cherkasov	13
6	Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models 2021 ·Briefings in Bioinformatics ·Hossein Sharifi-Noghabi,(unknown),Petr Smirnov,C. Suk-Yee Hon,(unknown),(unknown),Arvind Singh Mer,Martin Ester,Benjamin Haibe‐Kains	36
7	Identification of differentially expressed gene modules in heterogeneous diseases 2020 ·Bioinformatics ·Olga Zolotareva,(unknown),Olga I. Isaeva,(unknown),(unknown),Martin Ester	5
8	AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics 2020 ·Bioinformatics ·Hossein Sharifi-Noghabi,(unknown),Olga Zolotareva,Colin C. Collins,Martin Ester	37
9	SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks 2020 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),Yao Wu,Martin Ester,Ben Kao,Xin Wang,Yudian Zheng	17
10	SUBSTRA: Supervised Bayesian Patient Stratification 2019 ·Bioinformatics ·(unknown),(unknown),Bruno M. Grande,Ryan D. Morin,Martin Ester,Daniel Ziemek	4
11	MOLI: multi-omics late integration with deep neural networks for drug response prediction 2019 ·Bioinformatics ·Hossein Sharifi-Noghabi,Olga Zolotareva,Colin C. Collins,Martin Ester	248
12	Uncovering the subtype-specific temporal order of cancer pathway dysregulation 2019 ·PLoS Computational Biology ·(unknown),(unknown),(unknown),Martin Ester	5
13	Crimetracer: activity space based crime location prediction 2014 ·Mohammad A. Tayebi,Martin Ester,Uwe Glässer,Patricia L. Brantingham	13
14	Mining thick skylines over large databases 2004 ·Lecture notes in computer science ·Wen Jin,(unknown),Martin Ester	19
15	Hierarchical Document Clustering Using Frequent Itemsets 2003 ·Benjamin C. M. Fung,Ke Wang,Martin Ester	272
16	Knowledge Discovery in Databases - Techniken und Anwendungen 2000 ·Springer eBooks ·Martin Ester,Jörg Sander	20
17	Incremental Clustering for Mining in a Data Warehousing Environment 1998 ·Very Large Data Bases ·Martin Ester,Hans‐Peter Kriegel,Jörg Sander,Michael Wimmer,Xiaowei Xu	296
18	Algorithms for characterization and trend detection in spatial databases 1998 ·Knowledge Discovery and Data Mining ·Martin Ester,(unknown),Hans‐Peter Kriegel,Jörg Sander	69
19	Density-connected sets and their application for trend detection in spatial databases 1997 ·Knowledge Discovery and Data Mining ·Martin Ester,Hans‐Peter Kriegel,Jörg Sander,Xiaowei Xu	28
20	A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noisebreakdown → 1996 ·Knowledge Discovery and Data Mining ·Martin Ester,Hans‐Peter Kriegel,Jörg Sander,Xiaowei Xu	810

About Martin Ester

Martin Ester is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 175 papers that have together received 26.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (40 papers), Data Management and Algorithms (39 papers) and Data Mining Algorithms and Applications (35 papers). The work is most often cited by research in Signal Processing (4.9k citations), Artificial Intelligence (10.6k citations) and Transportation (2.0k citations). Martin Ester has collaborated with scholars based in Canada, China and Germany. Frequent 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. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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.

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