World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
82
Citations
75297
World Ranking
923
National Ranking
501

Mathematics

D-Index
73
Citations
69423
World Ranking
225
National Ranking
126

Research.com Recognitions

  • 2010 - IEEE John von Neumann Medal “For laying the foundations for the fields of automata and language theory and many seminal contributions to theoretical computer science.”
  • 2009 - SIAM Fellow For advances in the design and analysis of algorithms.
  • 2009 - Member of the National Academy of Sciences
  • 2008 - ACM Karl V. Karlstrom Outstanding Educator Award For his vision of and impact on computer science, including co- authoring field-defining texts on theory and algorithms, which continue to influence students 40 years later, advising PhD students who themselves are now contributing greatly to computer science, and providing influential leadership in computer science research and education at the national and international level.
  • 1994 - ACM Fellow For fundamental achievements in the design and analysis of algorithms and data structures.
  • 1989 - Member of the National Academy of Engineering For fundamental contributions to computer algorithms and for authorship of outstanding computer science textbooks.
  • 1987 - Fellow of the American Academy of Arts and Sciences
  • 1987 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1987 - IEEE Fellow For contributions to the field of computing.
  • 1986 - A. M. Turing Award For fundamental achievements in the design and analysis of algorithms and data structures.
  • Foreign Member, Chinese Academy of Sciences
  • Foreign Member, Chinese Academy of Sciences
  • Foreign Member, Chinese Academy of Sciences
  • Foreign Member, Chinese Academy of Sciences
  • Foreign Member, Chinese Academy of Sciences
  • Foreign Member, Chinese Academy of Sciences

Overview

John E. Hopcroft is affiliated with Cornell University in the United States and has a research portfolio covering various aspects of computer science and physics. Their work spans 69 publications in computer science and 16 in physics and astronomy, with a particular focus on artificial intelligence, computer vision and pattern recognition, statistical and nonlinear physics, transportation, and computational theory and mathematics.

Hopcroft's notable topics of work include:

  • Complex Network Analysis Techniques
  • Machine Learning and Algorithms
  • Human Mobility and Location-Based Analysis
  • Algorithms and Data Compression
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Advanced Clustering Algorithms Research

Frequent co-authors in Hopcroft's collaborations include Avrim Blum, Ravindran Kannan, Kun He, and Meng Wang.

Hopcroft has contributed extensively to various publication venues. The most frequent of these are:

  • arXiv (Cornell University)
  • ACM Transactions on Knowledge Discovery from Data
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Knowledge-Based Systems
  • IEEE Transactions on Information Forensics and Security

Representative recent papers authored or co-authored by Hopcroft include:

  • "Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "HoSIM: Higher-order Structural Importance based method for multiple local community detection," 2022, Knowledge-Based Systems
  • "Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability," 2021, arXiv (Cornell University)
  • "Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power," 2022, arXiv (Cornell University)
  • "Integrating Large Circular Kernels into CNNs through Neural Architecture Search," 2021, arXiv (Cornell University)

Hopcroft has also authored the book Foundations of Data Science, published by Cambridge University Press in 2020, which has been cited extensively.

The scientist has received multiple honors and awards throughout their career, including:

  • IEEE John von Neumann Medal (2010) for contributions to automata and language theory and theoretical computer science
  • SIAM Fellow (2009) for advances in algorithm design and analysis
  • Member of the National Academy of Sciences (2009)
  • ACM Karl V. Karlstrom Outstanding Educator Award (2008) for impact on computer science education and research leadership
  • ACM Fellow (1994) for achievements in algorithms and data structures
  • Member of the National Academy of Engineering (1989) for contributions to computer algorithms and textbooks
  • IEEE Fellow (1987) for contributions to computing
  • Fellow of the American Association for the Advancement of Science (1987)
  • Fellow of the American Academy of Arts and Sciences (1987)
  • A. M. Turing Award (1986) for achievements in algorithm and data structure design and analysis
  • Foreign Member of the Chinese Academy of Sciences

Best Publications

  • Introduction to Automata Theory, Languages, and Computation

    John E. Hopcroft;Rajeev Motwani;Rotwani;Jeffrey D. Ullman

  • The Design and Analysis of Computer Algorithms

    Alfred V. Aho;John E. Hopcroft

  • Data Structures and Algorithms

    Alfred V. Aho;John E. Hopcroft;Jeffrey Ullman

  • An $n^{5/2} $ Algorithm for Maximum Matchings in Bipartite Graphs

    John E. Hopcroft;Richard M. Karp

  • Formal Languages and Their Relation to Automata

    John E. Hopcroft;Jeffrey D. Ullman

  • Efficient Planarity Testing

    John Hopcroft;Robert Tarjan

  • Algorithm 447: efficient algorithms for graph manipulation

    John Hopcroft;Robert Tarjan

  • Introduction To Automata Theory, Languages And Computation, 3Rd Edition

    John E. Hopcroft;Rajeev Motwani;Jeffrey D. Ullman

  • An n log n algorithm for minimizing states in a finite automaton

    John E. Hopcroft

  • Dividing a Graph into Triconnected Components

    John E. Hopcroft;Robert Endre Tarjan

  • The Directed Subgraph Homeomorphism Problem

    Steven Fortune;John E. Hopcroft;James C. Wyllie

  • Routing, merging, and sorting on parallel models of computation

    A. Borodin;J. E. Hopcroft

  • Linear time algorithm for isomorphism of planar graphs (Preliminary Report)

    J. E. Hopcroft;J. K. Wong

  • Snapshot Ensembles: Train 1, Get M for Free

    Gao Huang;Yixuan Li;Geoff Pleiss;Zhuang Liu

  • On the Complexity of Motion Planning for Multiple Independent Objects; Pspace Hardness of the Warehouseman's Problem

    J.E. Hopcroft;J.T. Schwartz;M. Sharir

  • Are Randomly Grown Graphs Really Random

    D. S. Callaway;J. E. Hopcroft;J. M. Kleinberg;M. E. J. Newman

  • Stacked Generative Adversarial Networks

    Xun Huang;Yixuan Li;Omid Poursaeed;John Hopcroft

  • Tracking evolving communities in large linked networks

    John Hopcroft;Omar Khan;Brian Kulis;Bart Selman

  • Triangular Factorization and Inversion by Fast Matrix Multiplication

    James R. Bunch;John E. Hopcroft

  • Tracing surface intersections

    C. L. Bajaj;C. M. Hoffman;R. E. Lynch;J. E. H. Hopcroft

Frequent Co-Authors

Jeffrey D. Ullman
Jeffrey D. Ullman Stanford University
Robert E. Tarjan
Robert E. Tarjan Princeton University
Christoph M. Hoffmann
Christoph M. Hoffmann Purdue University West Lafayette
Alfred V. Aho
Alfred V. Aho Columbia University
Allan Borodin
Allan Borodin University of Toronto
Juris Hartmanis
Juris Hartmanis Cornell University
Liwei Wang
Liwei Wang Peking University
Ravi Kannan
Ravi Kannan Microsoft (United States)
Richard M. Karp
Richard M. Karp University of California, Berkeley
Sue Whitesides
Sue Whitesides University of Victoria

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