World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
39989
World Ranking
1917
National Ranking
972

Andrew Tomkins 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 Andrew Tomkins 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: 227 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Andrew Tomkins 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 Andrew Tomkins 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: 69 D-Index — 87th percentile

87% 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

  • 2020 - ACM Fellow For contributions to the understanding of the web and web-based social networks

Overview

Andrew Tomkins is a researcher affiliated with Google in the United States. Their work primarily spans the field of computer science, with a particular focus on artificial intelligence, transportation, marketing, information systems, and computer vision and pattern recognition.

Their research covers a variety of topics including consumer market behavior and pricing, transportation planning and optimization, advanced graph neural networks, topic modeling, data management and algorithms, urban transport and accessibility, and traffic prediction and management techniques.

Tomkins has authored multiple papers published in well-known venues. Notable recent publications include:

  • Learning a Mixture of Two Multinomial Logits, 2021, IRIS Research product catalog (Sapienza University of Rome)
  • Graph Autoencoders with Deconvolutional Networks, 2020, arXiv (Cornell University)
  • The Short-Run Effects of Congestion Pricing in New York City, 2025, SSRN Electronic Journal
  • An adversarial variational inference approach for travel demand calibration of urban traffic simulators, 2022, Proceedings of the 30th International Conference on Advances in Geographic Information Systems
  • Reverse Engineering Configurations of Neural Text Generation Models, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Tomkins include Flavio Chierichetti, Neha Arora, Da-Cheng Juan, Ravi Kumar, and Carolina Osorio.

Their work has appeared in a variety of publication venues, with a concentration in arXiv (Cornell University), ACM SIGWEB Newsletter, IRIS Research product catalog (Sapienza University of Rome), SSRN Electronic Journal, and the Proceedings of the National Academy of Sciences.

For their contributions to the understanding of the web and web-based social networks, Andrew Tomkins was recognized as an ACM Fellow in 2020.

Best Publications

  • Graph structure in the Web

    Andrei Broder;Ravi Kumar;Farzin Maghoul;Prabhakar Raghavan

  • Structure and evolution of online social networks

    Ravi Kumar;Jasmine Novak;Andrew Tomkins

  • Pig latin: a not-so-foreign language for data processing

    Christopher Olston;Benjamin Reed;Utkarsh Srivastava;Ravi Kumar

  • Propagation of trust and distrust

    R. Guha;Ravi Kumar;Prabhakar Raghavan;Andrew Tomkins

  • Information diffusion through blogspace

    Daniel Gruhl;R. Guha;David Liben-Nowell;Andrew Tomkins

  • Trawling the Web for emerging cyber-communities

    Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan;Andrew Tomkins

  • The web as a graph: measurements, models, and methods

    Jon M. Kleinberg;Ravi Kumar;Prabhakar Raghavan;Sridhar Rajagopalan

  • Information diffusion through blogspace

    D. Gruhl;David Liben-Nowell;R. Guha;A. Tomkins

  • Geographic routing in social networks

    David Liben-Nowell;Jasmine Novak;Ravi Kumar;Prabhakar Raghavan

  • Stochastic models for the Web graph

    R. Kumar;P. Raghavan;S. Rajagopalan;D. Sivakumar

  • Microscopic evolution of social networks

    Jure Leskovec;Lars Backstrom;Ravi Kumar;Andrew Tomkins

  • Mining the Web's link structure

    S. Chakrabarti;B.E. Dom;S.R. Kumar;P. Raghavan

  • On the bursty evolution of blogspace

    Ravi Kumar;Jasmine Novak;Prabhakar Raghavan;Andrew Tomkins

  • Evolutionary clustering

    Deepayan Chakrabarti;Ravi Kumar;Andrew Tomkins

  • Visualizing tags over time

    Micah Dubinko;Ravi Kumar;Joseph Magnani;Jasmine Novak

  • SemTag and seeker: bootstrapping the semantic web via automated semantic annotation

    Stephen Dill;Nadav Eiron;David Gibson;Daniel Gruhl

  • The predictive power of online chatter

    Daniel Gruhl;R. Guha;Ravi Kumar;Jasmine Novak

  • Structure and evolution of blogspace

    Ravi Kumar;Jasmine Novak;Prabhakar Raghavan;Andrew Tomkins

  • Reviewer bias in single- versus double-blind peer review

    Andrew Tomkins;Min Zhang;William D. Heavlin

  • Self-similarity in the web

    Stephen Dill;Ravi Kumar;Kevin S. Mccurley;Sridhar Rajagopalan

Frequent Co-Authors

Ravi Kumar
Ravi Kumar Google (United States)
Prabhakar Raghavan
Prabhakar Raghavan Google (United States)
Sridhar Rajagopalan
Sridhar Rajagopalan IBM (United States)
Daniel Gruhl
Daniel Gruhl IBM (United States)
Raghu Ramakrishnan
Raghu Ramakrishnan Microsoft (United States)
Ramanathan V. Guha
Ramanathan V. Guha Google (United States)
Dandapani Sivakumar
Dandapani Sivakumar Google (United States)
Jon Kleinberg
Jon Kleinberg Cornell University
Sergei Vassilvitskii
Sergei Vassilvitskii Google (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to innovative career pathways, and online learning options make this even more accessible. Many institutions now offer computer science degree online programs, providing flexibility for working professionals or those balancing other commitments. Some universities also feature online graduate programs that accept 2.0 gpa, making advanced education attainable for a wider range of students.

Computer science skills can complement various fields, such as environmental science and engineering. If you're interested in the intersection of technology and the environment, consider pursuing an environmental engineering online degree. Additionally, an environmental science degree can lead to rewarding roles in sustainability, research, and policy-making.

By choosing the right online program, you can build a tailored and flexible educational journey—opening up diverse and dynamic career opportunities in science, engineering, and technology.

Best Scientists Citing Andrew Tomkins

Trending Scientists

Recently Published Articles