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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

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

Martin Ester publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Martin Ester sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Martin Ester D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Ester sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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