World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
12770
World Ranking
12355
National Ranking
5001

Gary M. Weiss 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 Gary M. Weiss 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: 75 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Gary M. Weiss 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 Gary M. Weiss 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Gary M. Weiss is affiliated with Fordham University in the United States. Their research spans the fields of Computer Science and Mathematics, with equal contributions in both areas. The scientist's work is distributed among several subfields, including Mathematical Physics, Artificial Intelligence, Information Systems, Computer Science Applications, and Algebra and Number Theory.

Their research topics include:

  • Spectral Theory in Mathematical Physics
  • Online Learning and Analytics
  • Holomorphic and Operator Theory
  • Matrix Theory and Algorithms
  • Artificial Intelligence in Healthcare and Education
  • Advanced Topics in Algebra
  • Advanced Operator Algebra Research

Their publication record includes papers in diverse venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Reports
  • Operators and Matrices
  • Proceedings of the Annual Hawaii International Conference on System Sciences

Some recent papers authored or co-authored include:

  • "Gender and culture bias in letters of recommendation for computer science and data science masters programs", 2023, Scientific Reports
  • "Admissions in the age of AI: detecting AI-generated application materials in higher education", 2024, Scientific Reports
  • "A machine learning approach to graduate admissions and the role of letters of recommendation", 2023, PLoS ONE
  • "Generalized Sequential Pattern Mining of Undergraduate Courses", 2022, Zenodo (CERN European Organization for Nuclear Research)
  • "Matrix splitting and ideals in ᵍ1(ᵍ7)", 2022, Operators and Matrices

The scientist frequently collaborates with others in their field. Frequent co-authors include:

  • Daniel Leeds
  • Sasmita Patnaik
  • Yijun Zhao
  • Sanehlata

Best Publications

  • Activity recognition using cell phone accelerometers

    Jennifer R. Kwapisz;Gary M. Weiss;Samuel A. Moore

  • Mining with rarity: a unifying framework

    Gary M. Weiss

  • Learning when training data are costly: the effect of class distribution on tree induction

    Gary M. Weiss;Foster Provost

  • The effect of class distribution on classifier learning

    Gary M. Weiss;Foster Provost

  • The effect of class distribution on classifier learning: an empirical study

    Gary M. Weiss;Foster Provost

  • Cell phone-based biometric identification

    Jennifer R. Kwapisz;Gary M. Weiss;Samuel A. Moore

  • Learning to predict rare events in event sequences

    Gary M. Weiss;Haym Hirsh

  • Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

    F. Provost;G. M. Weiss

  • Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?

    Gary M. Weiss;Kate McCarthy;Bibi Zabar

  • Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living

    Gary M. Weiss;Kenichi Yoneda;Thaier Hayajneh

  • Smartwatch-based activity recognition: A machine learning approach

    Gary M. Weiss;Jessica L. Timko;Catherine M. Gallagher;Kenichi Yoneda

  • Does cost-sensitive learning beat sampling for classifying rare classes?

    Kate McCarthy;Bibi Zabar;Gary Weiss

  • The Impact of Personalization on Smartphone-Based Activity Recognition

    Gary Mitchell Weiss;Jeffrey Lockhart

  • Design considerations for the WISDM smart phone-based sensor mining architecture

    Jeffrey W. Lockhart;Gary M. Weiss;Jack C. Xue;Shaun T. Gallagher

  • Smartwatch-based biometric gait recognition

    Andrew H. Johnston;Gary M. Weiss

  • Applications of mobile activity recognition

    Jeffrey W. Lockhart;Tony Pulickal;Gary M. Weiss

  • Data Mining in Telecommunications

    Gary M. Weiss

  • Learning with rare cases and small disjuncts

    Gary M. Weiss

  • Data Mining in the Telecommunications Industry

    Gary M. Weiss

  • A Quantitative Study of Small Disjuncts

    Gary M. Weiss;Haym Hirsh

  • Proceedings of the 2010 International Conference on Data Mining

    Robert Stahlbock;Sven F. Crone;Mahmoud Abou-Nasr;Hamid R. Arabnia

Frequent Co-Authors

Haym Hirsh
Haym Hirsh Cornell University
Foster Provost
Foster Provost New York University
Zakirul Alam Bhuiyan
Zakirul Alam Bhuiyan Fordham University
Tian Wang
Tian Wang Beijing Normal University
Hamid R. Arabnia
Hamid R. Arabnia University of Georgia
Stefan Lessmann
Stefan Lessmann Humboldt-Universität zu Berlin
Jie Wu
Jie Wu Temple University
Guojun Wang
Guojun Wang Guangzhou University
Stan Matwin
Stan Matwin Dalhousie University

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