2026 Joseph A. Konstan: 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	83	874	843	477	458	273	79438

Joseph A. Konstan 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 Joseph A. Konstan sits on this spectrum.

32 publications 991+

This scientist: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Joseph A. Konstan 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 Joseph A. Konstan sits on this spectrum.

30 D-Index 131+

This scientist: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2013 - IEEE Fellow For contributions to human-computer interaction and social media applications
2011 - Fellow of the American Association for the Advancement of Science (AAAS)
2010 - ACM Software System Award For the GroupLens Collaborative Filtering Recommender Systems, which showed how to automate the process by which a distributed set of users could receive personalized recommendations by sharing ratings, leading to both commercial products and extensive research.
2009 - Fellow of the American Academy of Arts and Sciences
2008 - ACM Fellow For contributions to human-computer interaction.
2006 - ACM Distinguished Member

Overview

Joseph A. Konstan is affiliated with the University of Minnesota in the United States. Their research spans several fields, primarily within Computer Science and Social Sciences. The main subfields of study include Information Systems, Communication, Information Systems and Management, Artificial Intelligence, and Sociology and Political Science.

The research topics covered by Joseph A. Konstan focus on Personal Information Management and User Behavior, Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Knowledge Management and Sharing, Topic Modeling, Consumer Market Behavior and Pricing, and Team Dynamics and Performance.

Joseph A. Konstan has published in a variety of venues with repeated contributions to some, including:

arXiv (Cornell University)
Proceedings of the ACM on Human-Computer Interaction
Communications of the ACM
International Journal of Human-Computer Interaction
Continence

The scientist has collaborated frequently with coauthors such as Ruoyan Kong, Ruixuan Sun, Haiyi Zhu, Loren Terveen, and Avinash Akella.

Some recent prominent papers authored by Joseph A. Konstan include:

"Six Human-Centered Artificial Intelligence Grand Challenges," 2023, International Journal of Human-Computer Interaction
"Evolution of Experts in Question Answering Communities," 2021, Proceedings of the International AAAI Conference on Web and Social Media
"Challenges and Future Directions of Computational Advertising Measurement Systems," 2020, Journal of Advertising
"Human-centered recommender systems: Origins, advances, challenges, and opportunities," 2021, AI Magazine
"Toward the Next Generation of News Recommender Systems," 2021, Companion Proceedings of the Web Conference 2021

Joseph A. Konstan has received several awards, including:

IEEE Fellow in 2013, for contributions to human-computer interaction and social media applications
Fellow of the American Association for the Advancement of Science (AAAS) in 2011
ACM Software System Award in 2010, for the GroupLens Collaborative Filtering Recommender Systems which demonstrated automated personalized recommendations via user rating sharing
Fellow of the American Academy of Arts and Sciences in 2009
ACM Fellow in 2008, for contributions to human-computer interaction
ACM Distinguished Member in 2006

Best Publications

Item-based collaborative filtering recommendation algorithms

Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl

12555
Citations
Evaluating collaborative filtering recommender systems

Jonathan L. Herlocker;Joseph A. Konstan;Loren G. Terveen;John T. Riedl

7942
Citations
The MovieLens Datasets: History and Context

F. Maxwell Harper;Joseph A. Konstan

4358
Citations
An algorithmic framework for performing collaborative filtering

Jonathan L. Herlocker;Joseph A. Konstan;Al Borchers;John Riedl

4249
Citations
GroupLens: applying collaborative filtering to Usenet news

Joseph A. Konstan;Bradley N. Miller;David Maltz;Jonathan L. Herlocker

3906
Citations
Analysis of recommendation algorithms for e-commerce

Badrul Sarwar;George Karypis;Joseph Konstan;John Riedl

2962
Citations
E-Commerce Recommendation Applications

J. Ben Schafer;Joseph A. Konstan;John Riedl

2759
Citations
Recommender systems in e-commerce

J. Ben Schafer;Joseph Konstan;John Riedl

2700
Citations
An algorithmic framework for performing collaborative filtering

Unknown

2556
Citations
Explaining collaborative filtering recommendations

Jonathan L. Herlocker;Joseph A. Konstan;John Riedl

2482
Citations
Improving recommendation lists through topic diversification

Cai-Nicolas Ziegler;Sean M. McNee;Joseph A. Konstan;Georg Lausen

2440
Citations
Application of Dimensionality Reduction in Recommender System - A Case Study

Badrul Sarwar;George Karypis;Joseph Konstan;John T. Riedl

2176
Citations
Collaborative Filtering Recommender Systems

Michael D. Ekstrand;John T. Riedl;Joseph A. Konstan

1546
Citations
Being accurate is not enough: how accuracy metrics have hurt recommender systems

Sean M. McNee;John Riedl;Joseph A. Konstan

1464
Citations
Combining collaborative filtering with personal agents for better recommendations

Nathaniel Good;J. Ben Schafer;Joseph A. Konstan;Al Borchers

1351
Citations
Recommender systems: from algorithms to user experience

Joseph A. Konstan;John Riedl

1009
Citations
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms

Jon Herlocker;Joseph A. Konstan;John Riedl

981
Citations
Building Successful Online Communities: Evidence-Based Social Design

Robert E. Kraut;Paul Resnick;Sara Kiesler;Yuqing Ren

948
Citations
Getting to know you: learning new user preferences in recommender systems

Al Mamunur Rashid;Istvan Albert;Dan Cosley;Shyong K. Lam

838
Citations
MovieLens unplugged: experiences with an occasionally connected recommender system

Bradley N. Miller;Istvan Albert;Shyong K. Lam;Joseph A. Konstan

829
Citations
Is seeing believing?: how recommender system interfaces affect users' opinions

Dan Cosley;Shyong K. Lam;Istvan Albert;Joseph A. Konstan

773
Citations

Frequent Co-Authors

John Riedl University of Minnesota

Loren Terveen University of Minnesota

Brian P. Bailey University of Illinois at Urbana-Champaign

B. R. Simon Rosser University of Minnesota

Keith J. Horvath San Diego State University

Robert E. Kraut Carnegie Mellon University

George Karypis University of Minnesota

Brent Hecht Northwestern University

Gediminas Adomavicius University of Minnesota

Ed H. Chi Google (United States)

External Links

Wikipedia of Joseph A. Konstan Personal website of Joseph A. Konstan Google Scholar page

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