World's Best Scientists 2026 revealed!
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
58987
World Ranking
1532
National Ranking
51

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2019 - Fellow of the Royal Society of Canada Academy of Science

Overview

Martin Ester is affiliated with Simon Fraser University in Canada and has an extensive research portfolio spanning the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Their work emphasizes interdisciplinary approaches that integrate computational methods and molecular biology.

Ester's primary research areas include Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Cancer Research, and Computer Vision and Pattern Recognition. The main topics covered in their publications feature Computational Drug Discovery Methods, Gene Expression and Cancer Classification, Domain Adaptation and Few-Shot Learning, Bioinformatics and Genomic Networks, Advanced Graph Neural Networks, Recommender Systems and Techniques, and Molecular Biology Techniques and Applications.

Frequent publication venues for Ester's work reflect a strong presence in computational and biological sciences, including:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Knowledge and Data Engineering

Among notable coauthors frequently collaborating with Ester are:

  • Colin C. Collins
  • Olga Zolotareva
  • Artem Cherkasov
  • Hossein Sharifi-Noghabi
  • Mohit Pandey

Selected recent publications by Martin Ester include:

  • "Hierarchical Multi-View Graph Pooling with Structure Learning", 2021, published in IEEE Transactions on Knowledge and Data Engineering
  • "A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT", 2020, published in Scientific Reports
  • "AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics", 2020, published in Bioinformatics
  • "A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions", 2022, published in arXiv (Cornell University)
  • "Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models", 2021, published in Briefings in Bioinformatics

Martin Ester was recognized in 2019 as a Fellow of the Royal Society of Canada under the Academy of Science category.

Best Publications

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

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

  • PSORTb 3.0

    Nancy Y. Yu;James R. Wagner;Matthew R. Laird;Gabor Melli

  • DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN

    Erich Schubert;Jörg Sander;Martin Ester;Hans Peter Kriegel

  • Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

    Jörg Sander;Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • A matrix factorization technique with trust propagation for recommendation in social networks

    Mohsen Jamali;Martin Ester

  • A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Xiaowei Xu

  • Density-Based Clustering over an Evolving Data Stream with Noise.

    Feng Cao;Martin Ester;Weining Qian;Aoying Zhou

  • TrustWalker: a random walk model for combining trust-based and item-based recommendation

    Mohsen Jamali;Martin Ester

  • Collaborative Denoising Auto-Encoders for Top-N Recommender Systems

    Yao Wu;Christopher DuBois;Alice X. Zheng;Martin Ester

  • PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis

    J. L. Gardy;M. R. Laird;F. Chen;S. Rey

  • Frequent term-based text clustering

    Florian Beil;Martin Ester;Xiaowei Xu

  • Incremental generalization for mining in a data warehousing environment

    M. Ester;R. Wittmann

  • Incremental Clustering for Mining in a Data Warehousing Environment

    Martin Ester;Hans-Peter Kriegel;Jörg Sander;Michael Wimmer

  • PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria.

    Jennifer L. Gardy;Cory Spencer;Ke Wang;Martin Ester

  • A distribution-based clustering algorithm for mining in large spatial databases

    Xiaowei Xu;M. Ester;H.-P. Kriegel;J. Sander

  • SimBoost: a read-across approach for predicting drug-target binding affinities using gradient boosting machines

    Tong He;Marten Heidemeyer;Fuqiang Ban;Artem Cherkasov

  • Spatial Data Mining: A Database Approach

    Martin Ester;Hans-Peter Kriegel;Jörg Sander

  • MOLI: multi-omics late integration with deep neural networks for drug response prediction.

    Hossein Sharifi-Noghabi;Hossein Sharifi-Noghabi;Olga I. Zolotareva;Colin C. Collins;Colin C. Collins;Martin Ester;Martin Ester

  • Knowledge Discovery in Databases - Techniken und Anwendungen

    Martin Ester;Jörg Sander

  • Catching the best views of skyline: a semantic approach based on decisive subspaces

    Jian Pei;Wen Jin;Martin Ester;Yufei Tao

  • Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification

    Martin Ester;Hans-Peter Kriegel;Xiaowei Xu

  • Proceedings of the 8th ACM Conference on Recommender systems

    Alfred Kobsa;Michelle Zhou;Martin Ester;Yehuda Koren

Frequent Co-Authors

Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Jörg Sander
Jörg Sander University of Alberta
Xiaowei Xu
Xiaowei Xu University of Arkansas at Little Rock
Jiajun Bu
Jiajun Bu Zhejiang University
Colin Collins
Colin Collins University of British Columbia
Steven J.M. Jones
Steven J.M. Jones University of British Columbia
Ben Kao
Ben Kao University of Hong Kong
Obi L. Griffith
Obi L. Griffith Washington University in St. Louis
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Chun Chen
Chun Chen Zhejiang University

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