World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
31444
World Ranking
1002
National Ranking
535

Jason Hong 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 Jason Hong 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: 293 publications — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Jason Hong 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 Jason Hong 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: 81 D-Index — 93rd percentile

93% 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

  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Jason Hong is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields including Computer Science and Social Sciences, with a significant focus on subfields such as Sociology and Political Science, Information Systems, Artificial Intelligence, Signal Processing, and Safety Research.

Their scholarly work covers main topics related to Privacy, Security, and Data Protection; Advanced Malware Detection Techniques; Ethics and Social Impacts of AI; User Authentication and Security Systems; Privacy-Preserving Technologies in Data; Mobile Crowdsensing and Crowdsourcing; and Human Mobility and Location-Based Analysis.

Frequent publication venues for Jason Hong include:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Communications of the ACM
  • CHI Conference on Human Factors in Computing Systems

Notable recent papers authored or co-authored by Jason Hong include:

  • The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention, 2021, Pervasive and Mobile Computing
  • How Developers Talk About Personal Data and What It Means for User Privacy, 2021, Proceedings of the ACM on Human-Computer Interaction
  • A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Discovering and Validating AI Errors With Crowdsourced Failure Reports, 2021, Proceedings of the ACM on Human-Computer Interaction

Jason Hong has collaborated frequently with colleagues such as Yuvraj Agarwal, Tianshi Li, Laura Dabbish, Haojian Jin, and Motahhare Eslami.

In recognition of their contributions, they have been awarded the title of Fellow of the Alfred P. Sloan Foundation in 2010.

Best Publications

  • Cyberguide: a mobile context-aware tour guide

    Gregory D. Abowd;Christopher G. Atkeson;Jason Hong;Sue Long

  • The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City

    Justin Cranshaw;Raz Schwartz;Jason I. Hong;Norman M. Sadeh

  • Cantina: a content-based approach to detecting phishing web sites

    Yue Zhang;Jason I. Hong;Lorrie F. Cranor

  • An architecture for privacy-sensitive ubiquitous computing

    Jason I. Hong;James A. Landay

  • You've been warned: an empirical study of the effectiveness of web browser phishing warnings

    Serge Egelman;Lorrie Faith Cranor;Jason Hong

  • The state of phishing attacks

    Jason Hong

  • Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish

    Steve Sheng;Bryant Magnien;Ponnurangam Kumaraguru;Alessandro Acquisti

  • The Design of Sites: Patterns, Principles, and Processes for Crafting a Customer-Centered Web Experience

    Douglas K. Van Duyne;James Landay;Jason I. Hong

  • Bridging the gap between physical location and online social networks

    Justin Cranshaw;Eran Toch;Jason Hong;Aniket Kittur

  • A framework of energy efficient mobile sensing for automatic user state recognition

    Yi Wang;Jialiu Lin;Murali Annavaram;Quinn A. Jacobson

  • Expectation and purpose: understanding users' mental models of mobile app privacy through crowdsourcing

    Jialiu Lin;Shahriyar Amini;Jason I. Hong;Norman Sadeh

  • CANTINA+: A Feature-Rich Machine Learning Framework for Detecting Phishing Web Sites

    Guang Xiang;Jason Hong;Carolyn P. Rose;Lorrie Cranor

  • An infrastructure approach to context-aware computing

    Jason I. Hong;James A. Landay

  • I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application

    Janne Lindqvist;Justin Cranshaw;Jason Wiese;Jason Hong

  • SATIN: a toolkit for informal ink-based applications

    Jason I. Hong;James A. Landay

  • DENIM: finding a tighter fit between tools and practice for Web site design

    James Lin;Mark W. Newman;Jason I. Hong;James A. Landay

  • Teaching Johnny not to fall for phish

    Ponnurangam Kumaraguru;Steve Sheng;Alessandro Acquisti;Lorrie Faith Cranor

  • Why people hate your app: making sense of user feedback in a mobile app store

    Bin Fu;Jialiu Lin;Lei Li;Christos Faloutsos

  • Understanding and capturing people's privacy policies in a mobile social networking application

    Norman Sadeh;Jason Hong;Lorrie Cranor;Ian Fette

  • Making mashups with marmite: towards end-user programming for the web

    Jeffrey Wong;Jason I. Hong

Frequent Co-Authors

James A. Landay
James A. Landay Stanford University
Norman Sadeh
Norman Sadeh Carnegie Mellon University
Lorrie Faith Cranor
Lorrie Faith Cranor Carnegie Mellon University
John Zimmerman
John Zimmerman Carnegie Mellon University
Laura Dabbish
Laura Dabbish Carnegie Mellon University
Yuvraj Agarwal
Yuvraj Agarwal Carnegie Mellon University
Alessandro Acquisti
Alessandro Acquisti Carnegie Mellon University
Swarun Kumar
Swarun Kumar Carnegie Mellon University
Patrick Gage Kelley
Patrick Gage Kelley University of New Mexico
Ponnurangam Kumaraguru
Ponnurangam Kumaraguru International Institute of Information Technology, Hyderabad

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Related Online Degrees & Career Pathways

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