2026 Eric Horvitz: 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	159	23	22	13	12	832	89523

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2015 - ACM AAAI Allen Newell Award For contributions to artificial intelligence and human-computer interaction spanning the computing and decision sciences through developing principles and models of sensing, reflection, and rational action.
2015 - AAAI Feigenbaum Prize "For sustained and high-impact contributions to the field of artificial intelligence through the development of computational models of perception, reflection and action, and their application in time-critical decision making, and intelligent information, traffic and healthcare systems."
2014 - ACM Fellow For contributions to artificial intelligence, and human-computer interaction.
2013 - Member of the National Academy of Engineering For computational mechanisms for decision making under uncertainty and with bounded resources.
2011 - Fellow of the American Academy of Arts and Sciences
2009 - Fellow of the American Association for the Advancement of Science (AAAS)
2002 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to principles and applications of probability and utility in computation, including reasoning and decision making under limited resources, human-computer interaction, and machine learning.

Overview

Eric Horvitz is affiliated with Microsoft in the United States and has contributed extensively to the field of computer science, particularly in artificial intelligence. Their research spans multiple subfields including artificial intelligence, molecular biology, health informatics, public health, environmental and occupational health, and family practice.

The scientist's scholarly work covers a variety of main topics such as:

Topic Modeling
Artificial Intelligence in Healthcare and Education
Explainable Artificial Intelligence (XAI)
Clinical Reasoning and Diagnostic Skills
Biomedical Text Mining and Ontologies
Misinformation and Its Impacts
Ethics and Social Impacts of AI

Recent publications by Eric Horvitz include the following papers:

"Predicting Depression via Social Media," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Sparks of Artificial General Intelligence: Early experiments with GPT-4," 2023, arXiv (Cornell University)
"Capabilities of GPT-4 on Medical Challenge Problems," 2023, arXiv (Cornell University)
"Large Language Model Influence on Diagnostic Reasoning," 2024, JAMA Network Open
"Cooperative AI: machines must learn to find common ground," 2021, Nature

Frequent co-authors associated with Eric Horvitz include:

Daniel S. Weld
Tom Hope
Adam Fourney
Jonathan H. Chen
Besmira Nushi

The scientist regularly publishes in prominent venues such as:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the AAAI Conference on Artificial Intelligence
Communications of the ACM
Nature Communications

Eric Horvitz has received multiple awards in recognition of their work, including:

AAAI Feigenbaum Prize (2015) for contributions to computational models of perception, reflection, and action, and their applications in decision making and intelligent systems
ACM AAAI Allen Newell Award (2015) for contributions spanning artificial intelligence and human-computer interaction
ACM Fellow (2014) for contributions to artificial intelligence and human-computer interaction
Member of the National Academy of Engineering (2013) for computational mechanisms for decision making
Fellow of the American Academy of Arts and Sciences (2011)
Fellow of the American Association for the Advancement of Science (AAAS) (2009)
Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2002) for significant contributions to principles and applications of probability and utility in computation

Best Publications

A Bayesian Approach to Filtering Junk E-Mail

Mehran Sahami;Susan Dumais;David Heckerman;Eric Horvitz

2431
Citations
Predicting Depression via Social Media

Munmun De Choudhury;Michael Gamon;Scott Counts;Eric Horvitz

1973
Citations
Principles of mixed-initiative user interfaces

Eric Horvitz

1690
Citations
Guidelines for Human-AI Interaction

Saleema Amershi;Dan Weld;Mihaela Vorvoreanu;Adam Fourney

1602
Citations
Personalizing search via automated analysis of interests and activities

Jaime Teevan;Susan T. Dumais;Eric Horvitz

1219
Citations
A technique which utilizes a probabilistic classifier to detect "junk" e-mail

Eric Horvitz;David E. Heckerman;Susan T. Dumais;Mehran Sahami

1143
Citations
A diary study of task switching and interruptions

Mary Czerwinski;Eric Horvitz;Susan Wilhite

1112
Citations
The lumière project: Bayesian user modeling for inferring the goals and needs of software users

Eric Horvitz;Jack Breese;David Heckerman;David Hovel

1057
Citations
Inference system and inference engine

John S Breese;David E Heckerman;Samuel D Hobson;Eric Horvitz

1020
Citations
Planetary-scale views on a large instant-messaging network

Jure Leskovec;Eric Horvitz

987
Citations
Sensing techniques for mobile interaction

Ken Hinckley;Jeff Pierce;Mike Sinclair;Eric Horvitz

949
Citations
Notification platform architecture

Eric J. Horvitz;David O. Hovel;Andrew W. Jacobs;Carl M. Kadie

935
Citations
Recognizing gestures and using gestures for interacting with software applications

Joel P. Dehlin;Christina Summer Chen;Andrew D. Wilson;Daniel C. Robbins

904
Citations
System and method for resizing an input position indicator for a user interface of a computer system

Eric J. Horvitz;Michael E. Markley;Martin L. Sonntag

886
Citations
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines

Samuel J. Gershman;Eric J. Horvitz;Joshua B. Tenenbaum

822
Citations
Capabilities of GPT-4 on Medical Challenge Problems

Unknown

755
Citations
Cyberchondria: Studies of the escalation of medical concerns in Web search

Ryen W. White;Eric Horvitz

732
Citations
Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach

David M. Pennock;Eric Horvitz;Steve Lawrence;C. Lee Giles

719
Citations
Influence of Pokémon Go on Physical Activity: Study and Implications

Tim Althoff;Ryen W White;Eric Horvitz

698
Citations
Systems and methods for personal ubiquitous information retrieval and reuse

Susan Dumais;Eric Horvitz;Edward Cutrell;Jonathan Cadiz

684
Citations
Predestination: inferring destinations from partial trajectories

John Krumm;Eric Horvitz

666
Citations

Frequent Co-Authors

Ryen W. White Microsoft (United States)

Ece Kamar Microsoft (United States)

David Heckerman Microsoft (United States)

John Krumm Microsoft (United States)

Susan T. Dumais Microsoft (United States)

Gary W. Flake Independent Scientist / Consultant, US

Ashish Kapoor Microsoft (United States)

Alexander G. Gounares Microsoft (United States)

Lili Cheng Microsoft (United States)

Raman K. Sarin Microsoft (United States)

External Links

Wikipedia of Eric Horvitz Personal website of Eric Horvitz Google Scholar page

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