John Riedl
Impact in
- Information Systems top 0.01%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Communication top 0.1%
- Wikis in Education and Collaboration
Papers in
-
- Recommender Systems and Techniques 77
- Software Engineering Techniques and Practices 7
- Expert finding and Q&A systems 6
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- Wikis in Education and Collaboration 22
- Co-authors
- Joseph A. Konstan (52 shared papers)Jonathan L. Herlocker (5 shared papers)Badrul M. Sarwar (6 shared papers)George Karypis (6 shared papers)Loren Terveen (12 shared papers)J. Ben Schafer (8 shared papers)Paul J. Resnick (5 shared papers)Shyong K. Lam (24 shared papers)
- Journals
- Computer (9 papers)Communications of the ACM (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)ACM Transactions on Information Systems (2 papers)IEEE Software (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
John Riedl
160 papers receiving 34.6k citations
John Riedl's Hit Papers
Peers
Comparison fields: 5 of 163
- Information Systems 29.5k
- Communication 1.6k
- Computer Science Applications 928
- Human-Computer Interaction 787
- Artificial Intelligence 3.3k
Countries citing papers authored by John Riedl
This map shows the geographic impact of John Riedl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Riedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Riedl more than expected).
Fields of papers citing papers by John Riedl
This network shows the impact of papers produced by John Riedl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Riedl. The network helps show where John Riedl may publish in the future.
Co-authors
The 25 scholars most cited alongside John Riedl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Item-based collaborative filtering recommendation algorithms Hit paper breakdown → | 2001 | 6962 |
| 2 | Evaluating collaborative filtering recommender systems Hit paper breakdown → | 2004 | 4535 |
| 3 | GroupLens Hit paper breakdown → | 1994 | 3962 |
| 4 | GroupLens Hit paper breakdown → | 1997 | 1887 |
| 5 | An algorithmic framework for performing collaborative filtering Hit paper breakdown → | 1999 | 1675 |
| 6 | Analysis of recommendation algorithms for e-commerce Hit paper breakdown → | 2000 | 1406 |
| 7 | Explaining collaborative filtering recommendations Hit paper breakdown → | 2000 | 1326 |
| 8 | Recommender systems in e-commerce Hit paper breakdown → | 1999 | 1244 |
| 9 | E-Commerce Recommendation Applications Hit paper breakdown → | 2001 | 1198 |
| 10 | Being accurate is not enough Hit paper breakdown → | 2006 | 826 |
| 11 | Recommender systems: from algorithms to user experience Hit paper breakdown → | 2012 | 581 |
| 12 | Combining Collaborative Filtering with Personal Agents for Better Recommendations Hit paper breakdown → | 1999 | 542 |
| 13 | Building Successful Online Communities: Evidence-Based Social Design Hit paper breakdown → | 2012 | 521 |
| 14 | An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms Hit paper breakdown → | 2002 | 518 |
| 15 | Shilling recommender systems for fun and profit Hit paper breakdown → | 2004 | 495 |
| 16 | An Algorithmic Framework for Performing Collaborative Filtering Hit paper breakdown → | 2017 | 444 |
| 17 | Getting to know you Hit paper breakdown → | 2002 | 428 |
| 18 | MovieLens unplugged Hit paper breakdown → | 2003 | 406 |
| 19 | PolyLens: A Recommender System for Groups of Users Hit paper breakdown → | 2005 | 389 |
| 20 | Is seeing believing? Hit paper breakdown → | 2003 | 377 |
About John Riedl
John Riedl is a scholar working on Information Systems, Communication, Computer Networks and Communications, Human-Computer Interaction and Hardware and Architecture, having authored 166 papers that have together received 37.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (77 papers), Wikis in Education and Collaboration (22 papers), Distributed systems and fault tolerance (14 papers), Data Visualization and Analytics (9 papers), Software Engineering Techniques and Practices (7 papers), Expert finding and Q&A systems (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Information Systems (29.5k citations), Communication (1.6k citations), Computer Science Applications (928 citations), Human-Computer Interaction (787 citations) and Artificial Intelligence (3.3k citations). John Riedl has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joseph A. Konstan, Jonathan L. Herlocker, Badrul M. Sarwar, George Karypis, Loren Terveen, J. Ben Schafer, Paul J. Resnick, Shyong K. Lam, Al Borchers and Brad Miller. Their work appears in journals such as Computer, Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and IEEE Software.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.