World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5974
World Ranking
8105
National Ranking
3474

Yevgeniy Vorobeychik 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 Yevgeniy Vorobeychik 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Yevgeniy Vorobeychik 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 Yevgeniy Vorobeychik 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Yevgeniy Vorobeychik is affiliated with Washington University in St. Louis in the United States and primarily works in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Computer Networks and Communications, as well as Sociology and Political Science.

The main topics of their work cover a range of specialized areas:

  • Adversarial Robustness in Machine Learning
  • Game Theory and Applications
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Opinion Dynamics and Social Influence
  • Advanced Malware Detection Techniques
  • Complex Network Analysis Techniques

Vorobeychik has contributed numerous papers to the academic community. Some recent publications include:

  • "Sociotechnical safeguards for genomic data privacy," 2022, Nature Reviews Genetics
  • "Attacking vision-based perception in end-to-end autonomous driving models," 2020, Journal of Systems Architecture
  • "A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management," 2021, Accident Analysis & Prevention
  • "Security Games with Limited Surveillance," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Computing Stackelberg Equilibria in Discounted Stochastic Games," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent co-authors include:

  • Bradley Malin
  • Ellen Wright Clayton
  • Murat Kantarcıoğlu
  • Zhiyu Wan
  • Junlin Wu

Vorobeychik has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of the American Medical Informatics Association
  • Lecture Notes in Computer Science
  • Zenodo (CERN European Organization for Nuclear Research)

In addition to journal and conference papers, their scholarly output includes book publications. Notably, a book titled Distributed Artificial Intelligence was published in 2023 by Springer Science+Business Media.

Best Publications

  • Data Poisoning Attacks on Factorization-Based Collaborative Filtering

    Bo Li;Yining Wang;Aarti Singh;Yevgeniy Vorobeychik

  • Adversarial Machine Learning

    Yevgeniy Vorobeychik;Murat Kantarcioglu

  • Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review

    Haifeng Zhang;Yevgeniy Vorobeychik

  • Submodular optimization with routing constraints

    Haifeng Zhang;Yevgeniy Vorobeychik

  • Feature Cross-Substitution in Adversarial Classification

    Bo Li;Yevgeniy Vorobeychik

  • Behavioral dynamics and influence in networked coloring and consensus

    J. Stephen Judd;Michael J. Kearns;Yevgeniy Vorobeychik

  • Price prediction in a trading agent competition

    Michael P. Wellman;Daniel M. Reeves;Kevin M. Lochner;Yevgeniy Vorobeychik

  • A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models

    Ren Pang;Hua Shen;Xinyang Zhang;Shouling Ji

  • Deceiving Cyber Adversaries: A Game Theoretic Approach

    Aaron Schlenker;Omkar Thakoor;Haifeng Xu;Fei Fang

  • Attacking vision-based perception in end-to-end autonomous driving models

    Adith Boloor;Karthik Garimella;Xin He;Christopher D. Gill

  • Robust Linear Regression Against Training Data Poisoning

    Chang Liu;Bo Li;Yevgeniy Vorobeychik;Alina Oprea

  • SURE: A Modeling and Simulation Integration Platform for Evaluation of Secure and Resilient Cyber–Physical Systems

    Xenofon Koutsoukos;Gabor Karsai;Aron Laszka;Himanshu Neema

  • Optimal randomized classification in adversarial settings

    Yevgeniy Vorobeychik;Bo Li

  • Distributed feedback control for decision making on supply chains

    Christopher Kiekintveld;Michael P. Wellman;Satinder Singh;Joshua Estelle

  • Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

    Adith Boloor;Xin He;Christopher Gill;Yevgeniy Vorobeychik

  • Defending Against Physically Realizable Attacks on Image Classification

    Tong Wu;Liang Tong;Yevgeniy Vorobeychik

  • Stochastic search methods for nash equilibrium approximation in simulation-based games

    Yevgeniy Vorobeychik;Michael P. Wellman

  • Security games with limited surveillance

    Bo An;David Kempe;Christopher Kiekintveld;Eric Shieh

  • Data-Driven Agent-Based Modeling, with Application to Rooftop Solar Adoption

    Haifeng Zhang;Yevgeniy Vorobeychik;Joshua Letchford;Kiran Lakkaraju

  • Computing solutions in infinite-horizon discounted adversarial patrolling games

    Yevgeniy Vorobeychik;Bo An;Milind Tambe;Satinder Singh

  • Equilibrium analysis of dynamic bidding in sponsored search auctions

    Yevgeniy Vorobeychik;Daniel M. Reeves

  • Improving robustness of ML classifiers against realizable evasion attacks using conserved features

    Liang Tong;Bo Li;Chen Hajaj;Chaowei Xiao

Frequent Co-Authors

Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Milind Tambe
Milind Tambe Harvard University
Christopher Kiekintveld
Christopher Kiekintveld The University of Texas at El Paso
Satinder Singh
Satinder Singh DeepMind (United Kingdom)
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Bo An
Bo An Nanyang Technological University
Ellen Wright Clayton
Ellen Wright Clayton Vanderbilt University Medical Center
David Kempe
David Kempe University of Southern California

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 online education in Computer Science opens up a variety of academic and career opportunities. For those looking to quickly enter the tech workforce, an online associate degree can serve as a flexible and cost-effective option, providing foundational skills needed for entry-level positions.

Many students seek the most affordable online colleges to minimize student debt while still receiving a quality education in computer science. Affordability is key, especially for international and domestic learners balancing costs and career goals.

For those with concerns about GPA, there are online graduate programs that accept 2.0 gpa. These flexible options give a second chance to applicants who show potential despite lower academic scores.

Advancing further, pursuing the most useful masters degrees can significantly enhance your career prospects. Specialized master’s programs in computer science or related fields are in high demand and can lead to lucrative roles in tech-driven industries.

Best Scientists Citing Yevgeniy Vorobeychik

Trending Scientists