World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
73
Citations
29023
World Ranking
1553
National Ranking
810

Tadayoshi Kohno 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 Tadayoshi Kohno 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: 235 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Tadayoshi Kohno 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 Tadayoshi Kohno 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: 73 D-Index — 89th percentile

89% 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

  • 2008 - Fellow of Alfred P. Sloan Foundation

Overview

Tadayoshi Kohno is affiliated with the University of Washington in the United States. Their research spans multiple domains within computer science and social sciences, focusing particularly on privacy, security, and data protection. Kohno's work covers a range of topics including the ethics and social impacts of AI, privacy-preserving technologies, adversarial robustness in machine learning, and digital contact tracing related to COVID-19.

Their scholarly output includes publications in recognized venues such as arXiv (Cornell University), IEEE Security & Privacy, Proceedings on Privacy Enhancing Technologies, and the Proceedings of the AAAI/ACM Conference on AI Ethics and Society.

Frequent publication venues are as follows:

  • arXiv (Cornell University)
  • IEEE Security & Privacy
  • Proceedings on Privacy Enhancing Technologies
  • Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • AI and Ethics

Frequently collaborating co-authors include:

  • Franziska Roesner
  • Lucy Simko
  • Mattea Sim
  • Elissa M. Redmiles
  • Inyoung Cheong

The main fields of study for Kohno's research are:

  • Computer Science
  • Social Sciences

Subfields within these areas include:

  • Artificial Intelligence
  • Sociology and Political Science
  • Information Systems
  • Safety Research
  • Computer Vision and Pattern Recognition

Key research topics addressed by Kohno are:

  • Privacy, Security, and Data Protection
  • Ethics and Social Impacts of AI
  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • COVID-19 Digital Contact Tracing
  • Face recognition and analysis
  • Anomaly Detection Techniques and Applications

Recent notable publications include:

  • PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing, 2020, arXiv (Cornell University)
  • Smart Devices in Airbnbs: Considering Privacy and Security for both Guests and Hosts, 2020, Proceedings on Privacy Enhancing Technologies
  • COVID-19 Contact Tracing and Privacy: Studying Opinion and Preferences, 2020, arXiv (Cornell University)
  • LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins, 2024, Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • Safety, Security, and Privacy Threats Posed by Accelerating Trends in the Internet of Things, 2020, arXiv (Cornell University)

Kohno was recognized as a Fellow of the Alfred P. Sloan Foundation in 2008.

Best Publications

  • Experimental Security Analysis of a Modern Automobile

    Karl Koscher;Alexei Czeskis;Franziska Roesner;Shwetak Patel

  • Robust Physical-World Attacks on Deep Learning Visual Classification

    Kevin Eykholt;Ivan Evtimov;Earlence Fernandes;Bo Li

  • Comprehensive experimental analyses of automotive attack surfaces

    Stephen Checkoway;Damon McCoy;Brian Kantor;Danny Anderson

  • Remote physical device fingerprinting

    T. Kohno;A. Broido;K.C. Claffy

  • Searchable encryption revisited: consistency properties, relation to anonymous IBE, and extensions

    Michel Abdalla;Mihir Bellare;Dario Catalano;Eike Kiltz

  • Searchable Encryption Revisited: Consistency Properties, Relation to Anonymous IBE, and Extensions

    Michel Abdalla;Mihir Bellare;Dario Catalano;Eike Kiltz

  • Pacemakers and Implantable Cardiac Defibrillators: Software Radio Attacks and Zero-Power Defenses

    D. Halperin;T.S. Heydt-Benjamin;B. Ransford;S.S. Clark

  • Analysis of an electronic voting system

    T. Kohno;A. Stubblefield;A.D. Rubin;D.S. Wallach

  • Cryptography Engineering: Design Principles and Practical Applications

    Niels Ferguson;Bruce Schneier;Tadayoshi Kohno

  • A theoretical treatment of related-key attacks: RKA-PRPs, RKA-PRFs, and applications

    Mihir Bellare;Tadayoshi Kohno

  • Robust Physical-World Attacks on Deep Learning Models

    Ivan Evtimov;Kevin Eykholt;Earlence Fernandes;Tadayoshi Kohno

  • Security and Privacy for Implantable Medical Devices

    D. Halperin;T. Kohno;T.S. Heydt-Benjamin;K. Fu

  • ITS4: a static vulnerability scanner for C and C++ code

    J. Viega;J.T. Bloch;Y. Kohno;G. McGraw

  • Vanish: increasing data privacy with self-destructing data

    Roxana Geambasu;Tadayoshi Kohno;Amit A. Levy;Henry M. Levy

  • Detecting and defending against third-party tracking on the web

    Franziska Roesner;Tadayoshi Kohno;David Wetherall

  • Low-resource routing attacks against tor

    Kevin Bauer;Damon McCoy;Dirk Grunwald;Tadayoshi Kohno

  • Shining Light in Dark Places: Understanding the Tor Network

    Damon Mccoy;Kevin Bauer;Dirk Grunwald;Tadayoshi Kohno

  • Security and privacy for augmented reality systems

    Franziska Roesner;Tadayoshi Kohno;David Molnar

  • Robust Physical-World Attacks on Machine Learning Models.

    Ivan Evtimov;Kevin Eykholt;Earlence Fernandes;Tadayoshi Kohno

  • Physical Adversarial Examples for Object Detectors

    Dawn Song;Kevin Eykholt;Ivan Evtimov;Earlence Fernandes

  • Searchable encryption revisited

    Michel Abdalla;Mihir Bellare;Dario Catalano;Eike Kiltz

Frequent Co-Authors

Franziska Roesner
Franziska Roesner University of Washington
Mihir Bellare
Mihir Bellare University of California, San Diego
Bruce Schneier
Bruce Schneier Harvard University
Kevin Fu
Kevin Fu University of Michigan–Ann Arbor
David Molnar
David Molnar Microsoft (United States)
David Wetherall
David Wetherall Google (United States)
Henry M. Levy
Henry M. Levy University of Washington
John Kelsey
John Kelsey National Institute of Standards and Technology
Dawn Song
Dawn Song University of California, Berkeley
Arvind Krishnamurthy
Arvind Krishnamurthy University of Washington

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

Studying Computer Science opens doors to a range of promising online degrees and fast-moving careers. Many students consider broadening their technical skills with an online master’s in electrical engineering degree, which can provide specialized training in emerging technologies.

If you’re focused on boosting your credentials quickly, certificate programs that pay well are an efficient way to enhance your resume and gain industry recognition. These certificates can lead to higher salaries in fields like IT, cybersecurity, and software development.

For those who want to accelerate their education, there are quick masters degrees online that can be completed in as little as a year. These flexible programs make it easier for working professionals to advance their careers without putting life on hold.

It’s also important to consider which master's degree is most in demand in usa to make informed decisions about your future. Popular areas like data science, artificial intelligence, and cybersecurity are all highly sought after by employers, ensuring strong job prospects and robust salaries.

Best Scientists Citing Tadayoshi Kohno

Trending Scientists

Recently Published Articles