World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14030
World Ranking
7026
National Ranking
3081

Laura Dabbish 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 Laura Dabbish 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Laura Dabbish 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 Laura Dabbish sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Laura Dabbish is affiliated with Carnegie Mellon University in the United States. Their research spans a range of interdisciplinary areas at the intersection of social sciences and computer science. They have contributed extensively to fields such as Sociology and Political Science, Communication, Information Systems, Computer Science Applications, and Safety Research.

Their scholarly output includes research on topics including:

  • Privacy, Security, and Data Protection
  • Open Source Software Innovations
  • Ethics and Social Impacts of AI
  • Knowledge Management and Sharing
  • Digital Economy and Work Transformation
  • Social Media and Politics
  • User Authentication and Security Systems

Laura Dabbish has authored and contributed to numerous papers, with a focus on human-computer interaction and social computing. Notable recent papers include:

  • "The Diversity Crisis in Software Development," 2021, published in IEEE Software
  • "Speaking out of turn: How video conferencing reduces vocal synchrony and collective intelligence," 2021, published in PLoS ONE
  • "How Developers Talk About Personal Data and What It Means for User Privacy," 2021, published in Proceedings of the ACM on Human-Computer Interaction
  • "Making it Work, or Not," 2021, published in Proceedings of the ACM on Human-Computer Interaction
  • "Limits and Possibilities for "Ethical AI" in Open Source: A Study of Deepfakes," 2022, published in the 2022 ACM Conference on Fairness, Accountability, and Transparency

Their frequent coauthors include Jason Hong, Cori Faklaris, James D. Herbsleb, David Gray Widder, and Huilian Sophie Qiu. This collaboration reflects a diverse network within topics related to human-computer interaction and ethical AI.

Laura Dabbish's publications are predominantly found in venues such as:

  • Proceedings of the ACM on Human-Computer Interaction
  • arXiv (Cornell University)
  • IEEE Software
  • PLoS ONE
  • Zenodo (CERN European Organization for Nuclear Research)

Their work integrates social science methodologies with computer science theories to address complex issues around digital environments, privacy, and ethics. This multidisciplinary approach informs their study of how software development practices, user privacy concerns, and ethical considerations intersect in contemporary technology landscapes.

Best Publications

  • Labeling images with a computer game

    Luis von Ahn;Laura Dabbish

  • Designing games with a purpose

    Luis von Ahn;Laura Dabbish

  • Social coding in GitHub: transparency and collaboration in an open software repository

    Laura Dabbish;Colleen Stuart;Jason Tsay;Jim Herbsleb

  • Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers

    Min Kyung Lee;Daniel Kusbit;Evan Metsky;Laura Dabbish

  • Influence of social and technical factors for evaluating contribution in GitHub

    Jason Tsay;Laura Dabbish;James Herbsleb

  • Email overload at work: an analysis of factors associated with email strain

    Laura A. Dabbish;Robert E. Kraut

  • My data just goes everywhere: user mental models of the internet and implications for privacy and security

    Ruogu Kang;Laura Dabbish;Nathaniel Fruchter;Sara Kiesler

  • Impression formation in online peer production: activity traces and personal profiles in github

    Jennifer Marlow;Laura Dabbish;Jim Herbsleb

  • Understanding email use: predicting action on a message

    Laura A. Dabbish;Robert E. Kraut;Susan Fussell;Sara Kiesler

  • Supporting Email Workflow

    Gina Danielle Venolia;Laura Dabbish;JJ Cadiz;Anoop Gupta

  • Let's talk about it: evaluating contributions through discussion in GitHub

    Jason Tsay;Laura Dabbish;James Herbsleb

  • Controlling interruptions: awareness displays and social motivation for coordination

    Laura Dabbish;Robert E. Kraut

  • Simplifying video editing using metadata

    Juan Casares;A. Chris Long;Brad A. Myers;Rishi Bhatnagar

  • Are you close with me? are you nearby?: investigating social groups, closeness, and willingness to share

    Jason Wiese;Patrick Gage Kelley;Lorrie Faith Cranor;Laura Dabbish

  • Why do i keep interrupting myself?: environment, habit and self-interruption

    Laura Dabbish;Gloria Mark;Víctor M. González

  • Self-interruption on the computer: a typology of discretionary task interleaving

    Jing Jin;Laura A. Dabbish

  • Social transparency in networked information exchange: a theoretical framework

    H. Colleen Stuart;Laura Dabbish;Sara Kiesler;Peter Kinnaird

  • Activity traces and signals in software developer recruitment and hiring

    Jennifer Marlow;Laura Dabbish

  • The Diversity Crisis in Software Development

    Khaled Albusays;Pernille Bjorn;Laura Dabbish;Denae Ford

  • Deep Structures of Collaboration: Physiological Correlates of Collective Intelligence and Group Satisfaction

    Prerna Chikersal;Maria Tomprou;Young Ji Kim;Anita Williams Woolley

  • The Effect of Social Influence on Security Sensitivity

    Sauvik Das;Tiffany Hyun-Jin Kim;Laura A. Dabbish;Jason I. Hong

  • Privacy Attitudes of Mechanical Turk Workers and the U.S. Public

    Ruogu Kang;Stephanie Brown;Laura Dabbish;Sara B. Kiesler

  • Social Transparency in Networked Information Exchange: A Framework and Research Question

    H. Colleen Stuart;Laura Dabbish;Sara Kiesler;Peter Kinnaird

Frequent Co-Authors

Robert E. Kraut
Robert E. Kraut Carnegie Mellon University
Jason Hong
Jason Hong Carnegie Mellon University
James D. Herbsleb
James D. Herbsleb Carnegie Mellon University
Sara Kiesler
Sara Kiesler Carnegie Mellon University
Albert T. Corbett
Albert T. Corbett Carnegie Mellon University
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Scott E. Hudson
Scott E. Hudson Carnegie Mellon University
Tom Postmes
Tom Postmes University of Groningen
Gina Venolia
Gina Venolia Microsoft (United States)
Chris Parnin
Chris Parnin Microsoft (United States)

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