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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
119
Citations
235984
World Ranking
147
National Ranking
86

Mark Newman 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 Mark Newman 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: 339 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Mark Newman 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 Mark Newman 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: 119 D-Index — 99th percentile

99% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2019 - ACM Distinguished Member
  • 2016 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Mark Newman is affiliated with the University of Michigan-Ann Arbor in the United States. Their research spans multiple fields, primarily within Medicine and Biochemistry, Genetics and Molecular Biology.

The scientist has contributed to several subfields, including Surgery, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine, and Public Health, Environmental and Occupational Health. Their work covers a range of key topics:

  • SARS-CoV-2 and COVID-19 Research
  • Surgical site infection prevention
  • Enhanced Recovery After Surgery
  • Cardiac, Anesthesia and Surgical Outcomes
  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • COVID-19 and healthcare impacts

Some of their recent publications include:

  • Surveillance of surgical site infection in a teaching hospital in Ghana: a prospective cohort study, 2020, Journal of Hospital Infection
  • Risk factors for surgical site infections in abdominal surgeries in Ghana: emphasis on the impact of operating rooms door openings, 2020, Epidemiology and Infection
  • Improving the WHO Surgical Safety Checklist sign-out, 2021, BJS Open
  • Multi-Antigen Viral-Vectored Vaccine Protects Against SARS-CoV-2 and Variants in a Lethal hACE2 Transgenic Mouse Model, 2025, Vaccines
  • Molecular characterization of fluoroquinolone resistant Escherichia coli from Ghana, 2020, International Journal of Infectious Diseases

The scientist frequently publishes in venues such as:

  • Journal of Hospital Infection
  • BJS Open
  • Epidemiology and Infection
  • Vaccines
  • International Journal of Infectious Diseases

Mark Newman collaborates regularly with a number of coauthors, including Mary Hauser, Arban Domi, Pratima Kumari, Antoinette Bediako-Bowan, and Enid Owusu.

Among their recognitions are being named an ACM Distinguished Member in 2019 and a Fellow of the John Simon Guggenheim Memorial Foundation in 2016.

Best Publications

  • The Structure and Function of Complex Networks

    Mark E. J. Newman

  • Community structure in social and biological networks

    Michelle Girvan;M. E. J. Newman

  • Finding and evaluating community structure in networks.

    M. E. J. Newman;M. E. J. Newman;M. Girvan;M. Girvan

  • Modularity and community structure in networks

    Mark Newman

  • Networks: An Introduction

    Mark Newman

  • Power-Law Distributions in Empirical Data

    Aaron Clauset;Aaron Clauset;Cosma Rohilla Shalizi;M. E. J. Newman

  • Finding community structure in very large networks.

    Aaron Clauset;M. E. J. Newman;Cristopher Moore

  • Power laws, Pareto distributions and Zipf's law

    M. E. J. Newman

  • The structure of scientific collaboration networks

    M. E. J. Newman

  • Assortative mixing in networks.

    M. E. J. Newman;M. E. J. Newman

  • Fast algorithm for detecting community structure in networks.

    M. E. J. Newman

  • Finding community structure in networks using the eigenvectors of matrices

    M. E. J. Newman

  • Random graphs with arbitrary degree distributions and their applications.

    M. E. J. Newman;M. E. J. Newman;S. H. Strogatz;D. J. Watts;D. J. Watts

  • The structure and dynamics of networks

    Mark E J Newman;Albert László Barabási;Duncan J. Watts;Duncan J. Watts

  • Mixing patterns in networks.

    M. E. J. Newman;M. E. J. Newman

  • Monte Carlo methods in statistical physics

    M. E. J. Newman;G. T. Barkema

  • Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality

    M. E. J. Newman;M. E. J. Newman

  • Analysis of weighted networks.

    M. E. J. Newman

  • Network Robustness and Fragility: Percolation on Random Graphs

    Duncan S. Callaway;M. E. J. Newman;M. E. J. Newman;Steven H. Strogatz;Duncan J. Watts;Duncan J. Watts

  • A measure of betweenness centrality based on random walks

    M. E. J. Newman

  • Scientific collaboration networks. I. Network construction and fundamental results.

    M. E. J. Newman;M. E. J. Newman

Frequent Co-Authors

Cristopher Moore
Cristopher Moore Santa Fe Institute
Duncan J. Watts
Duncan J. Watts University of Pennsylvania
Alessandro Sette
Alessandro Sette La Jolla Institute For Allergy & Immunology
Robert W. Chesnut
Robert W. Chesnut Johns Hopkins University
Aaron Clauset
Aaron Clauset University of Colorado Boulder
Steven H. Strogatz
Steven H. Strogatz Cornell University
Scott Southwood
Scott Southwood Johnson & Johnson
Peter J. Mucha
Peter J. Mucha Dartmouth College
John Sidney
John Sidney La Jolla Institute For Allergy & Immunology
Duncan S. Callaway
Duncan S. Callaway University of California, Berkeley

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