World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8941
World Ranking
8702
National Ranking
3730

Emre Kiciman 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 Emre Kiciman 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Emre Kiciman 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 Emre Kiciman 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Emre Kiciman is affiliated with Microsoft in the United States and has an active research profile primarily in the field of computer science. Their work spans several subfields, with a notable focus on artificial intelligence, public health, environmental and occupational health, applied psychology, social psychology, and statistical and nonlinear physics.

Their research topics cover a diverse range of areas, including:

  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Behavioral Health and Interventions
  • Obesity, Physical Activity, Diet
  • Bayesian Modeling and Causal Inference
  • Domain Adaptation and Few-Shot Learning
  • Complex Network Analysis Techniques

Emre Kiciman has contributed to numerous scholarly venues, with significant publication records in:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • NEJM AI
  • Nature
  • JMIR Mental Health

Notable recent papers authored or co-authored by Emre Kiciman include:

  • "Measuring algorithmically infused societies," published in 2021 in Nature
  • "Causal Reasoning and Large Language Models: Opening a New Frontier for Causality," published in 2023 on arXiv (Cornell University)
  • "Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data," published in 2021 in JMIR Mental Health
  • "OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates," published in 2021 in the Proceedings of the International AAAI Conference on Web and Social Media
  • "Investigations of Performance and Bias in Human-AI Teamwork in Hiring," published in 2022 in the Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators in Emre Kiciman's research include:

  • Kristina Gligorić
  • Ryen W. White
  • Arnaud Chioléro
  • Eric Horvitz
  • Robert West

The scope and diversity of their work reflect an interdisciplinary approach, integrating computational methods with social sciences and public health to explore algorithmic impacts, causal inference, behavioral analysis, and machine learning challenges.

Best Publications

  • Pinpoint: problem determination in large, dynamic Internet services

    M.Y. Chen;E. Kiciman;E. Fratkin;A. Fox

  • Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries.

    Alexandra Olteanu;Carlos Castillo;Fernando Diaz;Emre Kıcıman

  • Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media

    Munmun De Choudhury;Emre Kiciman;Mark Dredze;Glen Coppersmith

  • Path-based faliure and evolution management

    Mike Y. Chen;Anthony Accardi;Emre Kiciman;Jim Lloyd

  • AjaxScope: A Platform for Remotely Monitoring the Client-Side Behavior of Web 2.0 Applications

    Emre Kiciman;Benjamin Livshits

  • Customizing Search Results

    Shuo Chen;Emre M. Kiciman;Yi-Min Wang

  • Detecting application-level failures in component-based Internet services

    E. Kiciman;A. Fox

  • ICEBERG: an Internet core network architecture for integrated communications

    H.J. Wang;B. Raman;Chen-Nee Chuah;R. Biswas

  • The Language of Social Support in Social Media and its Effect on Suicidal Ideation Risk.

    Munmun De Choudhury;Emre Kiciman

  • To Link or Not to Link? A Study on End-to-End Tweet Entity Linking

    Stephen Guo;Ming-Wei Chang;Emre Kiciman

  • Social network referral coupons

    Emre Mehmet Kiciman;Darko Kirovski

  • Characterizing Dietary Choices, Nutrition, and Language in Food Deserts via Social Media

    Munmun De Choudhury;Sanket Sharma;Emre Kiciman

  • Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

    Unknown

  • The Roma personal metadata service

    E. Swierk;E. Kiciman;V. Laviano;M. Baker

  • Portability, extensibility and robustness in iROS

    S.R. Ponnekanti;B. Johanson;E. Kiciman;A. Fox

  • JAGR: an autonomous self-recovering application server

    G. Candea;E. Kiciman;S. Zhang;P. Keyani

  • Online and Social Media Data As an Imperfect Continuous Panel Survey

    Fernando Diaz;Michael Gamon;Jake M. Hofman;Emre Kıcıman

  • Measuring algorithmically infused societies.

    Claudia Wagner;Claudia Wagner;Markus Strohmaier;Markus Strohmaier;Alexandra Olteanu;Emre Kıcıman

  • Automated code splitting and pre-fetching for improving responsiveness of browser-based applications

    Benjamin Livshits;Emre Kiciman;Chen Ding

  • Using Dynamic Mediation to Integrate COTS Entities in a Ubiquitous Computing Environment

    Emre Kiciman;Armando Fox

  • The new war correspondents: the rise of civic media curation in urban warfare

    Andrés Monroy-Hernández;danah boyd;Emre Kiciman;Munmun De Choudhury

  • Discovering correctness constraints for self-management of system configuration

    E. Kiciman;Yi-Min Wang

Frequent Co-Authors

Armando Fox
Armando Fox University of California, Berkeley
Benjamin Livshits
Benjamin Livshits Imperial College London
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Scott Counts
Scott Counts Microsoft (United States)
Yi-Min Wang
Yi-Min Wang Microsoft (United States)
Madanlal Musuvathi
Madanlal Musuvathi Microsoft (United States)
danah boyd
danah boyd Microsoft (United States)
Kuansan Wang
Kuansan Wang Microsoft (United States)
David A. Maltz
David A. Maltz Microsoft (United States)
Eric Brewer
Eric Brewer University of California, Berkeley

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

Pursuing Computer Science in the USA opens up access to a wide range of related fields and flexible education options. Today, many learners are exploring online master’s programs to tailor their skills and advance in tech-driven careers. Popular options include specialized degrees such as an online data science masters, which combines computer science fundamentals with analytical and statistical training for roles in artificial intelligence and big data.

Those looking to bridge technology and management may consider the online mba, which is valued for developing leadership and business acumen relevant to tech industry challenges. Similarly, students interested in rapidly advancing their careers can choose from the online masters available in a condensed one-year format.

Computer science graduates looking to diversify their skill sets can also explore fields like construction technology through the best online masters in construction management. Ultimately, online education provides flexible, affordable, and accelerated pathways for computer science professionals to stay competitive and meet evolving industry demands.

Best Scientists Citing Emre Kiciman

Trending Scientists

Recently Published Articles