John Riedl
Impact in
- Information Systems top 0.01%
- Recommender Systems and Techniques
- Computer Science Applications top 0.02%
Papers in
-
- Recommender Systems and Techniques 70
-
- Distributed systems and fault tolerance 18
- Peer-to-Peer Network Technologies 12
- Co-authors
- Joseph A. Konstan (54 shared papers)Jonathan L. Herlocker (5 shared papers)Badrul Sarwar (8 shared papers)George Karypis (6 shared papers)Loren Terveen (12 shared papers)J. Ben Schafer (7 shared papers)Paul Resnick (5 shared papers)Peter Bergström (1 shared paper)
- Journals
- Computer (9 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Communications of the ACM (2 papers)ACM Transactions on Information Systems (2 papers)ACM Transactions on Interactive Intelligent Systems (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John Riedl
173 papers receiving 34.5k citations
John Riedl's Hit Papers
Peers
Comparison fields: 5 of 170
- Information Systems 28.6k
- Computer Science Applications 3.3k
- Computer Vision and Pattern Recognition 8.9k
- Management Science and Operations Research 5.2k
- Artificial Intelligence 13.1k
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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Item-based collaborative filtering recommendation algorithms Hit paper breakdown → | 2001 | 6826 |
| 2 | Evaluating collaborative filtering recommender systems Hit paper breakdown → | 2004 | 4532 |
| 3 | GroupLens Hit paper breakdown → | 1994 | 4007 |
| 4 | GroupLens Hit paper breakdown → | 1997 | 1931 |
| 5 | An algorithmic framework for performing collaborative filtering Hit paper breakdown → | 1999 | 1653 |
| 6 | Analysis of recommendation algorithms for e-commerce Hit paper breakdown → | 2000 | 1422 |
| 7 | Explaining collaborative filtering recommendations Hit paper breakdown → | 2000 | 1316 |
| 8 | Recommender systems in e-commerce Hit paper breakdown → | 1999 | 1255 |
| 9 | E-Commerce Recommendation Applications Hit paper breakdown → | 2001 | 1227 |
| 10 | Being accurate is not enough Hit paper breakdown → | 2006 | 810 |
| 11 | Recommender systems: from algorithms to user experience Hit paper breakdown → | 2012 | 566 |
| 12 | Combining collaborative filtering with personal agents for better recommendations Hit paper breakdown → | 1999 | 561 |
| 13 | Building Successful Online Communities: Evidence-Based Social Design Hit paper breakdown → | 2012 | 514 |
| 14 | An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms Hit paper breakdown → | 2002 | 513 |
| 15 | 2004 | 498 | |
| 16 | An Algorithmic Framework for Performing Collaborative Filtering Hit paper breakdown → | 2017 | 444 |
| 17 | 2002 | 424 | |
| 18 | 2003 | 412 | |
| 19 | 2005 | 390 | |
| 20 | 2003 | 370 |
About John Riedl
John Riedl is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Communication and Computer Science Applications, having authored 180 papers that have together received 37.5k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (70 papers), Wikis in Education and Collaboration (27 papers), Advanced Bandit Algorithms Research (21 papers), Open Source Software Innovations (19 papers), Distributed systems and fault tolerance (18 papers), Peer-to-Peer Network Technologies (12 papers), Video Analysis and Summarization (11 papers) and Knowledge Management and Sharing (11 papers). The work is most often cited by research in Information Systems (28.6k citations), Computer Science Applications (3.3k citations), Computer Vision and Pattern Recognition (8.9k citations), Management Science and Operations Research (5.2k citations) and Artificial Intelligence (13.1k citations). John Riedl has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joseph A. Konstan, Jonathan L. Herlocker, Badrul Sarwar, George Karypis, Loren Terveen, J. Ben Schafer, Paul Resnick, Peter Bergström, Shyong K. Lam and Al Borchers. Their work appears in journals such as Computer, IEEE Transactions on Knowledge and Data Engineering, Communications of the ACM, ACM Transactions on Information Systems and ACM Transactions on Interactive Intelligent Systems.
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.