World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
32606
World Ranking
1546
National Ranking
803

Mark Crovella 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 Crovella 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: 206 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Mark Crovella 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 Crovella 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: 73 D-Index — 89th percentile

89% 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

  • 2012 - IEEE Fellow For contributions to the measurement and analysis of networks and distributed systems
  • 2010 - ACM Fellow For contributions to the measurement and analysis of networks and distributed systems.
  • 2009 - ACM Senior Member
  • 2009 - ACM Distinguished Member

Overview

Mark Crovella is affiliated with Boston University in the United States and has contributed extensively to the fields of biochemistry, genetics, molecular biology, and computer science. Their research output spans a broad range of interdisciplinary topics involving bioinformatics, computational theory, and machine learning applications.

The main fields of study for Mark Crovella include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Their subfields of focus cover:

  • Molecular Biology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Transportation
  • Computer Networks and Communications

In terms of specific research topics, their work engages with:

  • Bioinformatics and Genomic Networks
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Machine Learning in Bioinformatics
  • Gene Regulatory Network Analysis
  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility

Mark Crovella has published numerous papers including recent contributions such as:

  • "Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity" (2020, Nature Communications)
  • "Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease" (2020, Alzheimer's Research & Therapy)
  • "State-of-the-art computational methods to predict protein-protein interactions with high accuracy and coverage" (2023, PROTEOMICS)
  • "Frog embryos use multiple levels of temporal pattern in risk assessment for vibration-cued escape hatching" (2022, Animal Cognition)
  • "Revealing an Inherently Limiting Factor in Human Mobility Prediction" (2022, IEEE Transactions on Emerging Topics in Computing)

The frequent publication venues for their work include:

  • arXiv (Cornell University)
  • PROTEOMICS
  • Nature Communications
  • Cell
  • Alzheimer's Research & Therapy

Collaborations have been an important aspect of their research, with frequent co-authors such as:

  • Simon Kasif
  • Andrew Emili
  • Loqman Salamatian
  • Scott Anderson
  • Paul Barford

The professional recognition received by Mark Crovella includes several distinctions from leading organizations: they were named an IEEE Fellow in 2012 for contributions to the measurement and analysis of networks and distributed systems.

Additional honors include:

  • ACM Fellow (2010) for contributions to the measurement and analysis of networks and distributed systems
  • ACM Senior Member (2009)
  • ACM Distinguished Member (2009)

Best Publications

  • Self-similarity in World Wide Web traffic: evidence and possible causes

    Mark E. Crovella;Azer Bestavros

  • Generating representative Web workloads for network and server performance evaluation

    Paul Barford;Mark Crovella

  • Mining anomalies using traffic feature distributions

    Anukool Lakhina;Mark Crovella;Christophe Diot

  • Diagnosing network-wide traffic anomalies

    Anukool Lakhina;Mark Crovella;Christophe Diot

  • Method and apparatus for reliable and scalable distribution of data files in distributed networks

    Vijay R. Basani;Krishna Mangiapudi;Lynne M. Murach;Leroy R. Karge

  • Measuring bottleneck link speed in packet-switched networks

    Robert L. Carter;Mark E. Crovella

  • Characteristics of WWW Client-based Traces

    Carlos Cunha;Azer Bestavros;Mark Crovella

  • On the relationship between file sizes, transport protocols, and self-similar network traffic

    Kihong Park;Gitae Kim;M. Crovella

  • Characterizing reference locality in the WWW

    V. Almeida;A. Bestavros;M. Crovella;A. de Oliveira

  • Structural analysis of network traffic flows

    Anukool Lakhina;Konstantina Papagiannaki;Mark Crovella;Christophe Diot

  • Heavy-tailed probability distributions in the World Wide Web

    Mark E. Crovella;Murad S. Taqqu;Azer Bestavros

  • Changes in Web client access patterns: Characteristics and caching implications

    Paul Barford;Azer Bestavros;Adam Bradley;Mark Crovella

  • Characterization of network-wide anomalies in traffic flows

    Anukool Lakhina;Mark Crovella;Christiphe Diot

  • Constraint-based geolocation of internet hosts

    Bamba Gueye;Artur Ziviani;Mark Crovella;Serge Fdida

  • Delegation forwarding

    Vijay Erramilli;Mark Crovella;Augustin Chaintreau;Christophe Diot

  • Server selection using dynamic path characterization in wide-area networks

    R.L. Carter;M.E. Crovella

  • Effect of traffic self-similarity on network performance

    Kihong Park;Gitae Kim;Mark E. Crovella

  • Method and apparatus for dynamic resource discovery and information distribution in a data network

    Vijay R. Basani;Krishna Mangipudi;Lynne M. Murach;Leroy R. Karge

  • Virtual landmarks for the internet

    Liying Tang;Mark Crovella

  • Sampling biases in IP topology measurements

    A. Lakhina;J.W. Byers;M. Crovella;P. Xie

Frequent Co-Authors

Azer Bestavros
Azer Bestavros Boston University
Paul Barford
Paul Barford University of Wisconsin–Madison
Christophe Diot
Christophe Diot Google (United States)
Eric D. Kolaczyk
Eric D. Kolaczyk McGill University
John W. Byers
John W. Byers Boston University
Mor Harchol-Balter
Mor Harchol-Balter Carnegie Mellon University
Evimaria Terzi
Evimaria Terzi Boston University
Ibrahim Matta
Ibrahim Matta Boston University
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Nina Taft
Nina Taft Google (United States)

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