World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7278
World Ranking
8402
National Ranking
3598

Malik Magdon-Ismail 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 Malik Magdon-Ismail 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 240 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Malik Magdon-Ismail 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 Malik Magdon-Ismail sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Malik Magdon-Ismail is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily falls within the field of Computer Science, with significant contributions spanning Artificial Intelligence, Statistical and Nonlinear Physics, Management Science and Operations Research, Molecular Biology, and Statistics and Probability.

The scientist's work covers a range of topics, notably:

  • Complex Network Analysis Techniques
  • COVID-19 Epidemiological Studies
  • Advanced Graph Neural Networks
  • Gene Regulatory Network Analysis
  • Cryptography and Data Security
  • Anomaly Detection Techniques and Applications
  • Mental Health Research Topics

Recent publications by Malik Magdon-Ismail include:

  • Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • True Nonlinear Dynamics from Incomplete Networks, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning GraphQL Query Cost, 2021, 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • Prominence Ranking in Graphs with Community Structure, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics, 2020, arXiv (Cornell University)

Their frequent coauthors include:

  • Georgios Mavroudeas
  • Jianxi Gao
  • Kristin P. Bennett
  • Jason Kuruzovich
  • Chunheng Jiang

Malik Magdon-Ismail's publications have been featured most often in the following venues:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
  • Proceedings of the International AAAI Conference on Web and Social Media

Best Publications

  • Learning from Data

    Yaser S. Abu-Mostafa;Malik Magdon-Ismail;Hsuan-Tien Lin

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-Ismail;Michael W. Mahoney;David P. Woodruff

  • Efficient identification of overlapping communities

    Jeffrey Baumes;Mark Goldberg;Malik Magdon-Ismail

  • Measuring behavioral trust in social networks

    Sibel Adali;Robert Escriva;Mark K. Goldberg;Mykola Hayvanovych

  • FINDING COMMUNITIES BY CLUSTERING A GRAPH INTO OVERLAPPING SUBGRAPHS

    Jeffrey Baumes;Mark K. Goldberg;Mukkai S. Krishnamoorthy;Malik Magdon-Ismail

  • On selecting a maximum volume sub-matrix of a matrix and related problems

    Ali Çivril;Malik Magdon-Ismail

  • Near-Optimal Column-Based Matrix Reconstruction

    Christos Boutsidis;Petros Drineas;Malik Magdon-Ismail

  • Learning from Data: A Short Course

    Yaser S. Abu-Mostafa;Malik Magdon-Ismail;Hsuan-Tien Lin

  • Method And System For Collecting And Correlating Data From Information Sources To Deliver More Relevant And Effective Advertising

    Malik Magdon-Ismail;Parag Patel

  • Communities and Balance in Signed Networks: A Spectral Approach

    P. Anchuri;M. Magdon-Ismail

  • Fast approximation of matrix coherence and statistical leverage

    Petros Drineas;Malik Magdon-ismail;David Woodruff;Michael W. Mahoney

  • Discovering Hidden Groups in Communication Networks

    Jeffrey Baumes;Mark K. Goldberg;Malik Magdon-Ismail;William A. Wallace

  • Distance Matrix Reconstruction from Incomplete Distance Information for Sensor Network Localization

    P. Drineas;A. Javed;M. Magdon-Ismail;G. Pandurangan

  • Contention-free MAC protocols for wireless sensor networks

    Costas Busch;Malik Magdon-Ismail;Fikret Sivrikaya;Bülent Yener

  • No free lunch for early stopping

    Zehra Cataltepe;Yaser S. Abu-Mostafa;Malik Magdon-Ismail

  • The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding

    Dian Yu;Hongzhao Huang;Taylor Cassidy;Taylor Cassidy;Heng Ji

  • Information cascades in social media in response to a crisis: a preliminary model and a case study

    Cindy Hui;Yulia Tyshchuk;William A. Wallace;Malik Magdon-Ismail

  • Finding Overlapping Communities in Social Networks

    Mark Goldberg;Stephen Kelley;Malik Magdon-Ismail;Konstantin Mertsalov

  • Near-Optimal Column-Based Matrix Reconstruction

    Christos Boutsidis;Petros Drineas;Malik Magdon-Ismail

  • Measuring Similarity between Sets of Overlapping Clusters

    Mark K. Goldberg;Mykola Hayvanovych;Malik Magdon-Ismail

  • The maximum drawdown of the Brownian motion

    M. Magdon-Ismail;A. Atiya;A. Pratap;Y. Abu-Mostafa

Frequent Co-Authors

Petros Drineas
Petros Drineas Purdue University West Lafayette
William A. Wallace
William A. Wallace Rensselaer Polytechnic Institute
Boleslaw K. Szymanski
Boleslaw K. Szymanski Rensselaer Polytechnic Institute
Amir F. Atiya
Amir F. Atiya Cairo University
David P. Woodruff
David P. Woodruff Carnegie Mellon University
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Bülent Yener
Bülent Yener Rensselaer Polytechnic Institute
Kenneth L. Clarkson
Kenneth L. Clarkson IBM (United States)
Lirong Xia
Lirong Xia Rutgers, The State University of New Jersey
Mohammed J. Zaki
Mohammed J. Zaki Rensselaer Polytechnic Institute

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