World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
10496
World Ranking
11435
National Ranking
4697

Ece Kamar 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 Ece Kamar 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Ece Kamar 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 Ece Kamar 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Ece Kamar is a researcher affiliated with Microsoft in the United States. Their work primarily focuses on the field of Computer Science, with a specialization in Artificial Intelligence. Their research spans multiple subfields including Safety Research, Social Psychology, Computer Science Applications, and Management Information Systems.

The main topics covered by their research include:

  • Explainable Artificial Intelligence (XAI)
  • Ethics and Social Impacts of AI
  • Adversarial Robustness in Machine Learning
  • Human-Automation Interaction and Safety
  • Topic Modeling
  • Mobile Crowdsensing and Crowdsourcing
  • Reinforcement Learning in Robotics

Ece Kamar has published extensively, with notable venues for their research including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Artificial Intelligence Research
  • AI Magazine
  • ACM SIGACCESS Accessibility and Computing

Recent publications include the following:

  • "Sparks of Artificial General Intelligence: Early experiments with GPT-4" (2023, arXiv (Cornell University))
  • "Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence" (2022, arXiv (Cornell University))
  • "Toward fairness in AI for people with disabilities SBG@a research roadmap" (2020, ACM SIGACCESS Accessibility and Computing)
  • "Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork" (2021, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Investigations of Performance and Bias in Human-AI Teamwork in Hiring" (2022, Proceedings of the AAAI Conference on Artificial Intelligence)

The researcher frequently collaborates with peers including Besmira Nushi, Eric Horvitz, Hamid Palangi, Shlomo Zilberstein, and Emre Kıcıman, demonstrating a network of partnerships within the AI research community.

Best Publications

  • Sparks of Artificial General Intelligence: Early experiments with GPT-4

    Unknown

  • Software engineering for machine learning: a case study

    Saleema Amershi;Andrew Begel;Christian Bird;Robert DeLine

  • Combining human and machine intelligence in large-scale crowdsourcing

    Ece Kamar;Severin Hacker;Eric Horvitz

  • Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence

    Peter Stone;Rodney Brooks;Erik Brynjolfsson;Ryan Calo

  • Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

    Gagan Bansal;Besmira Nushi;Ece Kamar;Walter S. Lasecki

  • Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

    Gagan Bansal;Tongshuang Wu;Joyce Zhou;Raymond Fok

  • Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.

    Gagan Bansal;Besmira Nushi;Ece Kamar;Daniel S. Weld

  • Faithful and Customizable Explanations of Black Box Models

    Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Jure Leskovec

  • Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets

    Joseph Chee Chang;Saleema Amershi;Ece Kamar

  • Interpretable and Explorable Approximations of Black Box Models

    Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Jure Leskovec

  • Collaboration and shared plans in the open world: studies of ridesharing

    Ece Kamar;Eric Horvitz

  • Directions in hybrid intelligence: complementing AI systems with human intelligence

    Ece Kamar

  • Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

    Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Eric Horvitz

  • Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing

    Andrew Mao;Ece Kamar;Yiling Chen;Eric Horvitz

  • Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

    Besmira Nushi;Ece Kamar;Eric Horvitz

  • Toward fairness in AI for people with disabilities SBG@a research roadmap

    Anhong Guo;Ece Kamar;Jennifer Wortman Vaughan;Hanna Wallach

  • Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

    Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Eric Horvitz

  • Toward a Learning Science for Complex Crowdsourcing Tasks

    Shayan Doroudi;Ece Kamar;Emma Brunskill;Eric Horvitz

  • Interactive teaching strategies for agent training

    Ofra Amir;Ece Kamar;Andrey Kolobov;Barbara J. Grosz

  • Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

    Gagan Bansal;Besmira Nushi;Ece Kamar;Eric Horvitz

  • Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

    Gagan Bansal;Besmira Nushi;Ece Kamar;Eric Horvitz

  • On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.

    Besmira Nushi;Ece Kamar;Eric Horvitz;Donald Kossmann

  • Learning to Complement Humans

    Bryan Wilder;Eric Horvitz;Ece Kamar

  • Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing

    Andrew Mao;Ece Kamar;Eric Horvitz

Frequent Co-Authors

Eric Horvitz
Eric Horvitz Microsoft (United States)
Meredith Ringel Morris
Meredith Ringel Morris Google (United States)
Barbara J. Grosz
Barbara J. Grosz Harvard University
Daniel S. Weld
Daniel S. Weld University of Washington
Rich Caruana
Rich Caruana Microsoft (United States)
Kori Inkpen
Kori Inkpen Microsoft (United States)
Jaime Teevan
Jaime Teevan Microsoft (United States)
Hanna Wallach
Hanna Wallach Microsoft (United States)
Emre Kiciman
Emre Kiciman Microsoft (United States)

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