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

John E. Hopcroft publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where John E. Hopcroft sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 186 publications — 56th percentile

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

The last bar groups every scientist with 537 publications or more.

John E. Hopcroft D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where John E. Hopcroft sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 73 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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

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

For students interested in expanding their expertise beyond Mathematics, pursuing related online degrees can open diverse career opportunities. For those inclined toward business leadership, the shortest online MBA programs offer a fast and flexible pathway to develop management skills without interrupting your current commitments.

Finance professionals with a strong quantitative background often benefit from earning a master of finance online. This degree enhances financial modeling and analytical skills, complementing mathematical proficiency with practical applications in the financial sector.

For those aiming for executive-level roles in business strategy, the cheapest DBA online programs provide an affordable route to doctorate-level education focused on advanced leadership and research skills.

Marketing professionals with a penchant for data-driven decision making can explore a master's degree in marketing online. This program combines creativity with analytics, aligning well with a mathematical mindset and opening doors to high-earning careers in digital marketing and market research.

Best Scientists Citing John E. Hopcroft

Trending Scientists

Recently Published Articles