2026 Henry Kautz: 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	84	831	801	451	432	253	36668

Research.com Recognitions

2020 - AAAI Robert S. Engelmore Memorial Lecture Award For outstanding research contributions in the area of knowledge representation, data analytics, and data mining of social media for public good.
2020 - AAAI Distinguished Service Award For significant contributions to the field of artificial intelligence through sustained service to the Association for the Advancement of Artificial Intelligence and the furtherance of the field as a researcher, mentor and NSF IIS director.
2018 - ACM AAAI Allen Newell Award For contributions to artificial intelligence and computational social science, including fundamental results on the complexity of inference, planning, and media analytics for public health.
2013 - ACM Fellow For contributions to artificial intelligence and pervasive computing with applications to assistive technology and health.
2006 - Fellow of the American Association for the Advancement of Science (AAAS)
1997 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For contributions to many areas of artificial intelligence, from plan recognition to knowledge representation to software agents.

Overview

Henry Kautz is affiliated with the University of Virginia in the United States. Their research spans multiple fields, primarily within computer science, psychology, and social sciences. The scientist has contributed extensively to subfields such as artificial intelligence, transportation, social psychology, sociology and political science, and applied psychology.

The topics covered in Henry Kautz's work include human mobility and location-based analysis, digital mental health interventions, data-driven disease surveillance, misinformation and its impacts, COVID-19 and mental health, humor studies and applications, and explainable artificial intelligence (XAI).

Their recent publications demonstrate a focus on disease spread and mental health, particularly leveraging social media and digital platforms. Notable papers include:

"Modeling Spread of Disease from Social Interactions" (2021) published in Proceedings of the International AAAI Conference on Web and Social Media
"Predicting Disease Transmission from Geo-Tagged Micro-Blog Data" (2021) published in Proceedings of the AAAI Conference on Artificial Intelligence
"The third AI summer: AAAI Robert S. Engelmore Memorial Lecture" (2022) published in AI Magazine
"The Third AI Summer: AAAI Robert S. Engelmore Memorial Lecture" (2022) also in AI Magazine
"The Relationships of Deteriorating Depression and Anxiety With Longitudinal Behavioral Changes in Google and YouTube Use During COVID-19: Observational Study" (2020) published in JMIR Mental Health

Henry Kautz has frequently collaborated with several coauthors, including Vincent Silenzio, Ehsan Hoque, Anis Zaman, Nabil Hossain, and Adam Sadilek. Their work appears in noteworthy publication venues such as arXiv (Cornell University), Proceedings of the International AAAI Conference on Web and Social Media, Proceedings of the AAAI Conference on Artificial Intelligence, AI Magazine, and Zenodo (CERN European Organization for Nuclear Research).

The scientist has received multiple awards reflecting their contributions to artificial intelligence and computational social science. These honors include the AAAI Robert S. Engelmore Memorial Lecture Award in 2020, the AAAI Distinguished Service Award in 2020, the ACM AAAI Allen Newell Award in 2018, election as an ACM Fellow in 2013, Fellowship of the American Association for the Advancement of Science (AAAS) in 2006, and Fellowship of the Association for the Advancement of Artificial Intelligence (AAAI) in 1997.

Best Publications

Referral Web: combining social networks and collaborative filtering

Henry Kautz;Bart Selman;Mehul Shah

1543
Citations
Planning as satisfiability

Henry Kautz;Bart Selman

1506
Citations
Constraint propagation algorithms for temporal reasoning: a revised report

Marc Vilain;Henry Kautz;Peter van Beek

1361
Citations
Pushing the envelope: planning, propositional logic, and stochastic search

Henry Kautz;Bart Selman

1316
Citations
Noise strategies for improving local search

Bart Selman;Henry A. Kautz;Brain Cohen

1284
Citations
Inferring activities from interactions with objects

M. Philipose;K.P. Fishkin;M. Perkowitz;D.J. Patterson

1210
Citations
Learning and inferring transportation routines

Lin Liao;Donald J. Patterson;Dieter Fox;Henry Kautz

1159
Citations
Constraint propagation algorithms for temporal reasoning

Marc Vilain;Henry Kautz

1027
Citations
Local search strategies for satisfiability testing

Bart Selman;Henry A. Kautz;Bram Cohen

957
Citations
Boosting combinatorial search through randomization

Carla P. Gomes;Bart Selman;Henry Kautz

891
Citations
Inferring High-Level Behavior from Low-Level Sensors

Donald J. Patterson;Lin Liao;Dieter Fox;Henry A. Kautz

774
Citations
Generalized plan recognition

Henry A. Kautz;James F. Allen

744
Citations
Unifying SAT-based and graph-based planning

Henry Kautz;Bart Selman

714
Citations
Towards a theory of natural language interfaces to databases

Ana-Maria Popescu;Oren Etzioni;Henry Kautz

692
Citations
Activity recognition using the velocity histories of tracked keypoints

Ross Messing;Chris Pal;Henry Kautz

686
Citations
A formal theory of plan recognition

H. A. Kautz

646
Citations
Local Search Strategies for Satisfiability Testing

Bart Selman;Bram Cohen;Henry Kautz

629
Citations
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

Lin Liao;Dieter Fox;Henry Kautz

598
Citations
Fine-grained activity recognition by aggregating abstract object usage

D.J. Patterson;D. Fox;H. Kautz;M. Philipose

591
Citations
Location-based activity recognition

Lin Liao;Dieter Fox;Henry Kautz

584
Citations
Pushing the envelope: planning

Henry Kautz;Bart Sdman

69
Citations

Frequent Co-Authors

Bart Selman Cornell University

Dieter Fox University of Washington

Jiebo Luo University of Rochester

Eric Horvitz Microsoft (United States)

Carla P. Gomes Cornell University

David McAllester Toyota Technological Institute at Chicago

Paul Beame University of Washington

Oren Etzioni University of Washington

Gaetano Borriello University of Washington

Daniel S. Weld University of Washington

External Links

Wikipedia of Henry Kautz Personal website of Henry Kautz Google Scholar page

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