Jon Herlocker
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
-
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Image and Video Quality Assessment
Papers in
-
- Recommender Systems and Techniques 8
- Web Data Mining and Analysis 2
-
- Caching and Content Delivery 3
- Peer-to-Peer Network Technologies 2
- Co-authors
- Joseph A. Konstan (5 shared papers)John Riedl (3 shared papers)Al Borchers (3 shared papers)Badrul Sarwar (2 shared papers)J. Ben Schafer (1 shared paper)Nathaniel Good (1 shared paper)Brad Miller (1 shared paper)Juntae Kim (2 shared papers)
- Journals
- IEEE Internet Computing (1 paper)New Review of Information Networking (1 paper)Information Retrieval (1 paper)Computer (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Jon Herlocker
11 papers receiving 1.1k citations
Jon Herlocker's Hit Papers
Peers
Comparison fields: 5 of 74
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 381
- Computer Science Applications 97
- Management Science and Operations Research 178
- Marketing 131
Countries citing papers authored by Jon Herlocker
This map shows the geographic impact of Jon Herlocker'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 Jon Herlocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Herlocker more than expected).
Fields of papers citing papers by Jon Herlocker
This network shows the impact of papers produced by Jon Herlocker. 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 Jon Herlocker. The network helps show where Jon Herlocker may publish in the future.
Co-authors
The 10 scholars most cited alongside Jon Herlocker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms Hit paper breakdown → | 2002 | 433 |
| 2 | Combining collaborative filtering with personal agents for better recommendations | 1999 | 428 |
| 3 | 1998 | 247 | |
| 4 | 2001 | 83 | |
| 5 | 1998 | 64 | |
| 6 | Collaborative Filtering for Digital Libraries | 2012 | 8 |
| 7 | 2004 | 8 | |
| 8 | Tasktracer: Enhancing personal information management through machine learning | 2006 | 4 |
| 9 | 2005 | 4 | |
| 10 | 2002 | 2 | |
| 11 | 2005 | 2 |
About Jon Herlocker
Jon Herlocker is a scholar working on Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Caching and Content Delivery (3 papers), Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Web Data Mining and Analysis (2 papers), Advanced Text Analysis Techniques (1 paper) and Image and Video Quality Assessment (1 paper). The work is most often cited by research in Information Systems (1.1k citations), Computer Vision and Pattern Recognition (381 citations), Computer Science Applications (97 citations), Management Science and Operations Research (178 citations) and Marketing (131 citations). Jon Herlocker has collaborated with scholars based in United States and South Korea. Frequent co-authors include Joseph A. Konstan, John Riedl, Al Borchers, Badrul Sarwar, J. Ben Schafer, Nathaniel Good, Brad Miller, Juntae Kim, Simone Stumpf and Hyung-Il Kim. Their work appears in journals such as IEEE Internet Computing, New Review of Information Networking, Information Retrieval and Computer.
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.