World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
39989
World Ranking
1917
National Ranking
971

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)

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