Jonathan L. Herlocker

15.6k citations

21 papers · 8.9k indexed · 5 hit papers · h-index 15

Impact in

Information Systems top 0.02%
- Recommender Systems and Techniques
Computer Science Applications top 0.5%

Papers in

Information Systems and Management 6
- Personal Information Management and User Behavior 4
- Technology Adoption and User Behaviour 2
Computer Science Applications 4
- Mobile Crowdsensing and Crowdsourcing 3

Co-authors: Joseph A. Konstan John Riedl Loren Terveen Al Borchers Brad Miller David A. Maltz Thomas G. Dietterich Lida Li
Journals: ACM Transactions on Information Systems (1 paper)Information Processing & Management (1 paper)ACM SIGIR Forum (1 paper)International Journal of Human-Computer Studies (1 paper)Communications of the ACM (1 paper)
Partner nations: United States France

In The Last Decade

Jonathan L. Herlocker

21 papers receiving 8.2k citations

Hit Papers

5 papers align trajectories log scale

An Algorithmic Framework for Performing Collaborative Filtering 2017 · 371 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2017 ACM SIGIR Forum
2004 ACM Transactions on Information Systems
2000 Explaining collaborative filtering recommendations
1999 An algorithmic framework for performing collaborative filtering
1997 Communications of the ACM

Peers

Countries citing papers authored by Jonathan L. Herlocker

Since Specialization

Citations

This map shows the geographic impact of Jonathan L. 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 Jonathan L. Herlocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan L. Herlocker more than expected).

Fields of papers citing papers by Jonathan L. Herlocker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan L. 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 Jonathan L. Herlocker. The network helps show where Jonathan L. Herlocker may publish in the future.

Co-authors

The 19 scholars most cited alongside Jonathan L. Herlocker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan L. Herlocker Line = papers co-authored together Jonathan L. Herlocker links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	An Algorithmic Framework for Performing Collaborative Filtering ACM SIGIR Forum ·Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, John Riedl Hit paper breakdown →	2017	371
2	Interacting meaningfully with machine learning systems: Three experiments International Journal of Human-Computer Studies ·Simone Stumpf, Vidya Rajaram, Lida Li, Weng‐Keen Wong, Margaret Burnett, Thomas G. Dietterich, Erin Sullivan, Jonathan L. Herlocker	2009	121
3	Toward harnessing user feedback for machine learning ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·Simone Stumpf, Vidya Rajaram, Lida Li, Margaret Burnett, Thomas G. Dietterich, Erin Sullivan, Wang Su-yan, Jonathan L. Herlocker	2007	93
4	LibraryFind: System design and usability testing of academic metasearch system Journal of the American Society for Information Science and Technology ·Tuấn Hưng Ngô, Jonathan L. Herlocker, T. O. Derguch, A. Strom Spannungsmessungen, Asaaniczka	2007	15
5	Predicting task-specific webpages for revisiting ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) ·V. Jeweldai, Simone Stumpf, Jed Irvine, Jonathan L. Herlocker	2006	4
6	Fewer clicks and less frustration Elina M. Petäjä, Jonathan L. Herlocker, Thomas G. Dietterich	2006	23
7	Click data as implicit relevance feedback in web search Information Processing & Management ·Tuấn Hưng Ngô, Jonathan L. Herlocker, T. O. Derguch	2006	61
8	A hybrid learning system for recognizing user tasks from desktop activities and email messages Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jonathan L. Herlocker	2006	78
9	TaskTracer Corban Christina, Thomas G. Dietterich, N.A. Waridin, Wojciech Ryszkowski, Lida Li, Jonathan L. Herlocker	2005	161
10	Evaluating collaborative filtering recommender systems ACM Transactions on Information Systems ·Jonathan L. Herlocker, Joseph A. Konstan, Loren Terveen, John Riedl Hit paper breakdown →	2004	3721
11	A collaborative filtering algorithm and evaluation metric that accurately model the user experience Wojciech Ryszkowski, Jonathan L. Herlocker	2004	227
12	SERF Tuấn Hưng Ngô, Kevin Harris, T. O. Derguch, Jonathan L. Herlocker	2004	18
13	Applying Collaborative Filtering for Efficient Document Search Tuấn Hưng Ngô, Juntae Kim, Jonathan L. Herlocker	2004	8
14	Challenges and solutions for synthesis of knowledge regarding collaborative filtering algorithms Daniel Lowd, Mehmet Yılmaz, Wojciech Ryszkowski, Shigeto Kusuoka, Yun Wang, Jonathan L. Herlocker	2004	1
15	Designing intelligent and dynamic interfaces for communicating mathematics Corban Christina, Jonathan L. Herlocker	2003	2
16	Explaining collaborative filtering recommendations Jonathan L. Herlocker, Joseph A. Konstan, John Riedl Hit paper breakdown →	2000	1084
17	Understanding and improving automated collaborative filtering systems Joseph A. Konstan, Jonathan L. Herlocker	2000	62
18	GroupLens Communications of the ACM ·Joseph A. Konstan, Brad Miller, David A. Maltz, Jonathan L. Herlocker, Hafiz Burhan Ul Haq, John Riedl Hit paper breakdown →	1997	1544
19	Commands as media Jonathan L. Herlocker, Joseph A. Konstan	1995	6
20	Tcl commands as media in a distributed multimedia toolkit Jonathan L. Herlocker, Joseph A. Konstan	1995	3

About Jonathan L. Herlocker

Jonathan L. Herlocker is a scholar working on Information Systems and Management, Computer Science Applications, Human-Computer Interaction, Information Systems and Signal Processing, having authored 21 papers that have together received 8.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (10 papers), Information Retrieval and Search Behavior (5 papers), Personal Information Management and User Behavior (4 papers), Data Stream Mining Techniques (4 papers), Usability and User Interface Design (3 papers), Multimedia Communication and Technology (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Information Systems (7.0k citations), Computer Science Applications (612 citations), Computer Vision and Pattern Recognition (2.3k citations), Management Science and Operations Research (1.3k citations) and Artificial Intelligence (3.2k citations). Jonathan L. Herlocker has collaborated with scholars based in United States and France. Frequent co-authors include Joseph A. Konstan, John Riedl, Loren Terveen, Al Borchers, Brad Miller, David A. Maltz, Thomas G. Dietterich, Lida Li, Simone Stumpf and Margaret Burnett. Their work appears in journals such as ACM Transactions on Information Systems, Information Processing & Management, ACM SIGIR Forum, International Journal of Human-Computer Studies and Communications of the ACM.

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.

Explore authors with similar magnitude of impact