Jon Herlocker

4.1k total citations · 1 hit paper
11 papers, 1.3k citations indexed

About

Jon Herlocker is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jon Herlocker has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Computer Networks and Communications and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jon Herlocker's work include Recommender Systems and Techniques (8 papers), Caching and Content Delivery (3 papers) and Peer-to-Peer Network Technologies (2 papers). Jon Herlocker is often cited by papers focused on Recommender Systems and Techniques (8 papers), Caching and Content Delivery (3 papers) and Peer-to-Peer Network Technologies (2 papers). Jon Herlocker collaborates with scholars based in United States and South Korea. Jon Herlocker's co-authors include Joseph A. Konstan, John Riedl, Al Borchers, Badrul Sarwar, Nathaniel Good, J. Ben Schafer, Brad Miller, Simone Stumpf, Juntae Kim and Hyung-Il Kim and has published in prestigious journals such as Computer, IEEE Internet Computing and Information Retrieval.

In The Last Decade

Jon Herlocker

11 papers receiving 1.1k citations

Hit Papers

An Empirical Analysis of Design Choices in Neighborhood-B... 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jon Herlocker United States 7 1.1k 382 381 216 209 11 1.3k
Alexandrin Popescul United States 13 1.1k 1.0× 782 2.0× 373 1.0× 222 1.0× 117 0.6× 19 1.6k
Dhruv Gupta Germany 8 765 0.7× 404 1.1× 300 0.8× 171 0.8× 115 0.6× 27 1.1k
Robert Ragno United States 7 730 0.7× 476 1.2× 261 0.7× 147 0.7× 131 0.6× 8 1.2k
Roberto Turrin Italy 14 1.2k 1.1× 604 1.6× 385 1.0× 223 1.0× 122 0.6× 29 1.4k
Nathan N. Liu Hong Kong 11 1.3k 1.2× 803 2.1× 378 1.0× 184 0.9× 99 0.5× 12 1.6k
YoungOk Kwon United States 7 777 0.7× 325 0.9× 244 0.6× 101 0.5× 121 0.6× 13 933
Alex Tuzhilin United States 4 676 0.6× 247 0.6× 317 0.8× 154 0.7× 99 0.5× 9 871
Abhinandan Das United States 6 767 0.7× 543 1.4× 299 0.8× 443 2.1× 117 0.6× 6 1.3k
Rodrygo L. T. Santos Brazil 18 1.1k 1.0× 730 1.9× 318 0.8× 178 0.8× 73 0.3× 72 1.4k
Chumki Basu United States 8 621 0.6× 304 0.8× 228 0.6× 123 0.6× 94 0.4× 22 807

Countries citing papers authored by Jon Herlocker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jon Herlocker

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Herlocker. A scholar is included among the top collaborators of Jon Herlocker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jon Herlocker. Jon Herlocker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Herlocker, Jon, et al.. (2012). Collaborative Filtering for Digital Libraries. 8 indexed citations
2.
Stumpf, Simone & Jon Herlocker. (2006). Tasktracer: Enhancing personal information management through machine learning. 4 indexed citations
3.
Kim, Hyung-Il, Juntae Kim, & Jon Herlocker. (2005). Feature-Based Prediction of Unknown Preferences for Nearest-Neighbor Collaborative Filtering. 435–438. 4 indexed citations
4.
Kim, Juntae, et al.. (2005). Applying Collaborative Filtering for Efficient Document Search. 640–643. 2 indexed citations
5.
Herlocker, Jon, et al.. (2004). COLLABORATIVE FILTERING: A NEW APPROACH TO SEARCHING DIGITAL LIBRARIES. New Review of Information Networking. 10(2). 177–191. 8 indexed citations
7.
Herlocker, Jon, Joseph A. Konstan, & John Riedl. (2002). An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms. Information Retrieval. 5(4). 287–310. 433 indexed citations breakdown →
8.
Herlocker, Jon & Joseph A. Konstan. (2001). Content-independent task-focused recommendation. IEEE Internet Computing. 5(6). 40–47. 83 indexed citations
9.
Good, Nathaniel, J. Ben Schafer, Joseph A. Konstan, et al.. (1999). Combining collaborative filtering with personal agents for better recommendations. 439–446. 428 indexed citations
10.
Borchers, Al, et al.. (1998). Ganging up on information overload. Computer. 31(4). 106–108. 64 indexed citations
11.
Sarwar, Badrul, Joseph A. Konstan, Al Borchers, et al.. (1998). Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system. 345–354. 247 indexed citations

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.

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