World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17653
World Ranking
2582
National Ranking
1288

Madhav V. Marathe 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 Madhav V. Marathe 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: 428 publications — 89th percentile

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

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

Madhav V. Marathe 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 Madhav V. Marathe 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: 64 D-Index — 82nd percentile

82% 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

  • 2018 - SIAM Fellow For contributions to high performance computing algorithms and software systems for network science and public health epidemiology.
  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - ACM Fellow For contributions to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems.
  • 2013 - IEEE Fellow For contributions to development of formal models and software tools for understanding socio-technical networks

Overview

Madhav V. Marathe is affiliated with the University of Virginia in the United States. The scientist's research encompasses a range of topics primarily centered around epidemiology, infectious diseases, and computational modeling for public health.

The main fields of study include modeling and simulation, with 81 publications, epidemiology with 50 publications, infectious diseases alongside statistical and nonlinear physics with 27 publications each, and health with 21 publications.

The scientist has contributed extensively to research on COVID-19 and related epidemiological studies. Major topics of their work include:

  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • Vaccine Coverage and Hesitancy
  • Complex Network Analysis Techniques
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Pandemic Impacts
  • Influenza Virus Research Studies

The scientist has published in multiple venues, often collaborating on high-impact papers. Frequent publication venues include:

  • Zenodo (CERN European Organization for Nuclear Research), 123 publications
  • bioRxiv (Cold Spring Harbor Laboratory), 26 publications
  • arXiv (Cornell University), 26 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, 9 publications
  • Proceedings of the National Academy of Sciences, 7 publications

Notable frequent coauthors include Przemyslaw Porebski, Bryan Lewis, Srinivasan Venkatramanan, Aniruddha Adiga, and Benjamin Hurt.

Recent papers associated with Madhav V. Marathe cover various aspects of the COVID-19 pandemic and modeling approaches. These include:

  • Commentary on Ferguson, et al., "Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand", 2020, Bulletin of Mathematical Biology
  • Mathematical Models for COVID-19 Pandemic: A Comparative Analysis, 2020, Journal of the Indian Institute of Science
  • Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021, 2021, MMWR Morbidity and Mortality Weekly Report
  • Privacy-first health research with federated learning, 2021, npj Digital Medicine
  • The United States COVID-19 Forecast Hub dataset, 2022, Scientific Data

Madhav V. Marathe has received several distinctions for contributions to computational modeling and public health. Awards include:

  • SIAM Fellow (2018) for contributions to high performance computing algorithms and software systems for network science and public health epidemiology
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2014
  • IEEE Fellow (2013) for contributions to formal models and software tools for understanding socio-technical networks
  • ACM Fellow (2013) for contributions to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems

Best Publications

  • Modelling disease outbreaks in realistic urban social networks.

    Stephen Eubank;Hasan Guclu;V. S. Anil Kumar;Madhav V. Marathe

  • Mobile Data Offloading through Opportunistic Communications and Social Participation

    Bo Han;Pan Hui;V. S. A. Kumar;M. V. Marathe

  • Simple heuristics for unit disk graphs

    Madhav V. Marathe;H. Breu;Harry B. Hunt;S. S. Ravi

  • Algorithmic aspects of topology control problems for ad hoc networks

    Errol L. Lloyd;Rui Liu;Madhav V. Marathe;Ram Ramanathan

  • NC-Approximation Schemes for NP- and PSPACE-Hard Problems for Geometric Graphs

    Harry B Hunt;Madhav V Marathe;Venkatesh Radhakrishnan;S.S Ravi

  • Cellular traffic offloading through opportunistic communications: a case study

    Bo Han;Pan Hui;V.S. Anil Kumar;Madhav V. Marathe

  • EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks

    Christopher L. Barrett;Keith R. Bisset;Stephen G. Eubank;Xizhou Feng

  • Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia

    Caitlin M. Rivers;Eric T. Lofgren;Madhav Marathe;Stephen Eubank

  • Algorithmic aspects of capacity in wireless networks

    V. S. Anil Kumar;Madhav V. Marathe;Srinivasan Parthasarathy;Aravind Srinivasan

  • Spanning Trees---Short or Small

    R. Ravi;R. Sundaram;M. V. Marathe;D. J. Rosenkrantz

  • Formal-Language-Constrained Path Problems

    Chris Barrett;Riko Jacob;Madhav Marathe

  • EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems

    Keith R. Bisset;Jiangzhuo Chen;Xizhou Feng;V.S. Anil Kumar

  • Bicriteria Network Design Problems

    Madhav V Marathe;R Ravi;Ravi Sundaram;S.S Ravi

  • Characterizing the interaction between routing and MAC protocols in ad-hoc networks

    Chris Barrett;Achla Marathe;Madhav V. Marathe;Martin Drozda

  • The distance-2 matching problem and its relationship to the MAC-Layer capacity of ad hoc wireless networks

    H. Balakrishnan;C.L. Barrett;V.S.A. Kumar;M.V. Marathe

  • Using data-driven agent-based models for forecasting emerging infectious diseases.

    Srinivasan Venkatramanan;Bryan L. Lewis;Jiangzhuo Chen;Dave Higdon;Dave Higdon

  • Generation and analysis of large synthetic social contact networks

    Christopher L. Barrett;Richard J. Beckman;Maleq Khan;V. S. Anil Kumar

  • Models and approximation algorithms for channel assignment in radio networks

    Sven O. Krumke;Madhav V. Marathe;S. S. Ravi

  • On the red-blue set cover problem

    Robert D. Carr;Srinivas Doddi;Goran Konjevod;Madhav Marathe

  • Many birds with one stone: multi-objective approximation algorithms

    R. Ravi;M. V. Marathe;S. S. Ravi;D. J. Rosenkrantz

  • Spanning trees short or small

    R. Ravi;R. Sundaram;Madhav V. Marathe;S. S. Ravi

Frequent Co-Authors

S. S. Ravi
S. S. Ravi University of Virginia
Christopher L. Barrett
Christopher L. Barrett University of Virginia
Daniel J. Rosenkrantz
Daniel J. Rosenkrantz University of Virginia
Richard Edwin Stearns
Richard Edwin Stearns University at Albany, State University of New York
R. Ravi
R. Ravi Carnegie Mellon University
Aravind Srinivasan
Aravind Srinivasan University of Maryland, College Park
Ravi Sundaram
Ravi Sundaram Northeastern University
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
John S. Brownstein
John S. Brownstein Boston Children's Hospital

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