2026 Ece Kamar: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	35	11437	11112	4697	4496	133	10496

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

2622
Citations
Software engineering for machine learning: a case study

Saleema Amershi;Andrew Begel;Christian Bird;Robert DeLine

980
Citations
Combining human and machine intelligence in large-scale crowdsourcing

Ece Kamar;Severin Hacker;Eric Horvitz

456
Citations
Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence

Peter Stone;Rodney Brooks;Erik Brynjolfsson;Ryan Calo

394
Citations
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

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

386
Citations
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

Gagan Bansal;Tongshuang Wu;Joyce Zhou;Raymond Fok

355
Citations
Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff.

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

279
Citations
Faithful and Customizable Explanations of Black Box Models

Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Jure Leskovec

267
Citations
Revolt: Collaborative Crowdsourcing for Labeling Machine Learning Datasets

Joseph Chee Chang;Saleema Amershi;Ece Kamar

243
Citations
Interpretable and Explorable Approximations of Black Box Models

Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Jure Leskovec

201
Citations
Collaboration and shared plans in the open world: studies of ridesharing

Ece Kamar;Eric Horvitz

188
Citations
Directions in hybrid intelligence: complementing AI systems with human intelligence

Ece Kamar

176
Citations
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Eric Horvitz

170
Citations
Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing

Andrew Mao;Ece Kamar;Yiling Chen;Eric Horvitz

164
Citations
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Besmira Nushi;Ece Kamar;Eric Horvitz

120
Citations
Toward fairness in AI for people with disabilities SBG@a research roadmap

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

119
Citations
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

Himabindu Lakkaraju;Ece Kamar;Rich Caruana;Eric Horvitz

117
Citations
Toward a Learning Science for Complex Crowdsourcing Tasks

Shayan Doroudi;Ece Kamar;Emma Brunskill;Eric Horvitz

109
Citations
Interactive teaching strategies for agent training

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

109
Citations
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

Gagan Bansal;Besmira Nushi;Ece Kamar;Eric Horvitz

101
Citations
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

Gagan Bansal;Besmira Nushi;Ece Kamar;Eric Horvitz

96
Citations
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.

Besmira Nushi;Ece Kamar;Eric Horvitz;Donald Kossmann

91
Citations
Learning to Complement Humans

Bryan Wilder;Eric Horvitz;Ece Kamar

90
Citations
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing

Andrew Mao;Ece Kamar;Eric Horvitz

86
Citations

Frequent Co-Authors

Eric Horvitz Microsoft (United States)

Meredith Ringel Morris Google (United States)

Barbara J. Grosz Harvard University

Daniel S. Weld University of Washington

Rich Caruana Microsoft (United States)

Julie A. Shah MIT

Kori Inkpen Microsoft (United States)

Jaime Teevan Microsoft (United States)

Hanna Wallach Microsoft (United States)

Emre Kiciman Microsoft (United States)

External Links

Personal website of Ece Kamar

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