Jon Herlocker
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
Papers in
-
- Recommender Systems and Techniques 9
- Web Data Mining and Analysis 2
-
- Caching and Content Delivery 4
- Peer-to-Peer Network Technologies 2
- Advanced Database Systems and Queries 1
- Co-authors
- J. Ben Schafer (2 shared papers)Shilad Sen (1 shared paper)Dan Frankowski (1 shared paper)Joseph A. Konstan (5 shared papers)John Riedl (3 shared papers)Al Borchers (3 shared papers)Badrul Sarwar (2 shared papers)Nathaniel Good (1 shared paper)
- Journals
- New Review of Information Networking (1 paper)Computer (1 paper)IEEE Internet Computing (1 paper)Information Retrieval (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Jon Herlocker
12 papers receiving 2.9k citations
Jon Herlocker's Hit Papers
Peers
Comparison fields: 5 of 94
- Information Systems 2.7k
- Computer Science Applications 242
- Computer Vision and Pattern Recognition 881
- Management Science and Operations Research 423
- Artificial Intelligence 1.1k
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 12 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 | Collaborative Filtering Recommender Systems Hit paper breakdown → | 2007 | 1549 |
| 2 | Combining collaborative filtering with personal agents for better recommendations Hit paper breakdown → | 1999 | 561 |
| 3 | An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms Hit paper breakdown → | 2002 | 513 |
| 4 | 1998 | 314 | |
| 5 | 2001 | 116 | |
| 6 | 1998 | 76 | |
| 7 | Collaborative Filtering for Digital Libraries | 2012 | 9 |
| 8 | 2005 | 8 | |
| 9 | 2004 | 8 | |
| 10 | Tasktracer: Enhancing personal information management through machine learning | 2006 | 4 |
| 11 | 2005 | 4 | |
| 12 | 2002 | 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 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Caching and Content Delivery (4 papers), Web Data Mining and Analysis (2 papers), Image and Video Quality Assessment (2 papers), Data Management and Algorithms (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Peer-to-Peer Network Technologies (2 papers) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Information Systems (2.7k citations), Computer Science Applications (242 citations), Computer Vision and Pattern Recognition (881 citations), Management Science and Operations Research (423 citations) and Artificial Intelligence (1.1k citations). Jon Herlocker has collaborated with scholars based in United States and South Korea. Frequent co-authors include J. Ben Schafer, Shilad Sen, Dan Frankowski, Joseph A. Konstan, John Riedl, Al Borchers, Badrul Sarwar, Nathaniel Good, Brad Miller and Juntae Kim. Their work appears in journals such as New Review of Information Networking, Computer, IEEE Internet Computing, Information Retrieval and Lecture notes in computer science.
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.