World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
18842
World Ranking
4452
National Ranking
177

Stan Matwin 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 Stan Matwin 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: 449 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Stan Matwin 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 Stan Matwin 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Stan Matwin is affiliated with Dalhousie University in Canada. Their research spans multiple fields within computer science and engineering, with a primary focus on artificial intelligence and related technologies. The scientist's work includes substantial contributions to areas such as ocean engineering and signal processing.

Their publication record demonstrates involvement in key subfields and topics, including:

  • Artificial Intelligence
  • Ocean Engineering
  • Signal Processing
  • Global and Planetary Change
  • Transportation

Main topics addressed in their research encompass:

  • Maritime Navigation and Safety
  • Human Mobility and Location-Based Analysis
  • Marine and Fisheries Research
  • Marine Animal Studies Overview
  • Anomaly Detection Techniques and Applications
  • Privacy-Preserving Technologies in Data
  • Time Series Analysis and Forecasting

Some of the recent papers by Stan Matwin explore a range of applications and developments in their fields, including:

  • Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning, 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Performance of a deep neural network at detecting North Atlantic right whale upcalls, 2020, published in The Journal of the Acoustical Society of America
  • Aircraft Fuselage Corrosion Detection Using Artificial Intelligence, 2021, published in Sensors
  • Give more data, awareness and control to individual citizens, and they will help COVID-19 containment, 2021, published in CINECA IRIS Institutional research information system (University of Pisa)
  • Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation, 2020, published in arXiv (Cornell University)

The scientist has frequently published in several venues, including:

  • arXiv (Cornell University), 28 publications
  • The Journal of the Acoustical Society of America, 4 publications
  • GeoInformatica, 4 publications
  • Zenodo (CERN European Organization for Nuclear Research), 4 publications
  • The Journal of Supercomputing, 3 publications

Stan Matwin has collaborated extensively with a group of frequent coauthors, such as:

  • Amílcar Soares
  • Nader Zare
  • Mahtab Sarvmaili
  • Gabriel Spadon
  • Bruno Brandoli Machado

The scientist has also contributed to several book publications with renowned publishers. These include works published by Springer Science+Business Media, with titles like "Multiple-Aspect Analysis of Semantic Trajectories" and "Discovery Science," both released in 2020.

In 2023, Stan Matwin published "Generative Methods for Social Media Analysis" under Springer Nature. These book contributions reflect aspects of their research interests in artificial intelligence and data analysis.

Best Publications

  • Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.

    Miroslav Kubat;Stan Matwin

  • Machine Learning for the Detection of Oil Spills in Satellite Radar Images

    Miroslav Kubat;Robert C. Holte;Stan Matwin

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

  • Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

    Stan Matwin;Shipeng Yu;Faisal Farooq

  • Feature Engineering for Text Classification

    Sam Scott;Stan Matwin

  • Learning When Negative Examples Abound

    Miroslav Kubat;Robert Holte;Stan Matwin

  • A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data

    Ahmed A. Esmin;Rodrigo A. Coelho;Stan Matwin

  • Text Classification Using WordNet Hypernyms

    Sam Scott;Stan Matwin

  • Email classification with co-training

    Svetlana Kiritchenko;Stan Matwin

  • Offensive language detection using multi-level classification

    Amir H. Razavi;Diana Inkpen;Sasha Uritsky;Stan Matwin

  • A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization

    Maria Fernanda Caropreso;Stan Matwin;Fabrizio Sebastiani

  • Unsupervised named-entity recognition: generating gazetteers and resolving ambiguity

    David Nadeau;Peter D. Turney;Stan Matwin

  • Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning.

    Erico N. de Souza;Kristina Boerder;Stan Matwin;Stan Matwin;Boris Worm

  • Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report

    Chantel Ridsdale;James Rothwell;Michael Smit;Hossam Ali-Hassan

  • Knowledge Discovery in Databases: PKDD 2007

    Joost N. Kok;Jacek Koronacki;Ramon Lopez de Mantaras;Stan Matwin

  • Machine Learning: ECML 2007

    Joost N. Kok;Jacek Koronacki;Raomon Lopez de Mantaras;Stan Matwin

  • Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

    Denis Moreira dos Reis;Peter Flach;Stan Matwin;Gustavo Batista

  • A WordNet-based algorithm for word sense disambiguation

    Xiaobin Li;Stan Szpakowicz;Stan Matwin

  • Genetic algorithms approach to a negotiation support system

    S. Matwin;T. Szapiro;K. Haigh

  • Discriminative parameter learning for Bayesian networks

    Jiang Su;Harry Zhang;Charles X. Ling;Stan Matwin

  • Functional Annotation of Genes Using Hierarchical Text Categorization

    Svetlana Kiritchenko;Stan Matwin;Fazel Famili

  • Canadian Conference on Artificial Intelligence

    William Klement;Peter A Flach;Nathalie Japkowicz;Stan Matwin

Frequent Co-Authors

Nathalie Japkowicz
Nathalie Japkowicz American University
Stan Szpakowicz
Stan Szpakowicz University of Ottawa
Diana Inkpen
Diana Inkpen University of Ottawa
Timothy C. Lethbridge
Timothy C. Lethbridge University of Ottawa
Ryszard S. Michalski
Ryszard S. Michalski George Mason University
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
Joost N. Kok
Joost N. Kok University of Twente
Svetlana Kiritchenko
Svetlana Kiritchenko National Research Council Canada
Peter A. Flach
Peter A. Flach University of Bristol
Dino Pedreschi
Dino Pedreschi University of Pisa

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