Will Hill

3.2k citations
33 papers · 2.4k · 1 hit paper · h-index 17

Impact in

Papers in

Will Hill

32 papers receiving 2.0k citations

Will Hill's Hit Papers

Recommending and evaluating choices in a virtual community of use 1995 · 843 citations
8430+10+20Years since publication250500750

Peers

Will Hill
Comparison fields: 5 of 125
  • Information Systems 1.6k
  • Human-Computer Interaction 183
  • Communication 195
  • Computer Science Applications 146
  • Information Systems and Management 175
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Citations per field
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Citations per year

Countries citing papers authored by Will Hill

Since Specialization
Citations

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

Fields of papers citing papers by Will Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Hill. 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 Will Hill. The network helps show where Will Hill may publish in the future.

Co-authors

The 25 scholars most cited alongside Will Hill, 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 Will Hill Line = papers co-authored together Will Hill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recommending and evaluating choices in a virtual community of use
Hit paper breakdown →
1995843
2 1997395
3 1998213
4
Beyond Recommender Systems: Helping People Help Each Other
2001199
5 2000173
6 199971
7 199566
8 199664
9 195735
10 199834
11 199932
12 199831
13 200027
14 200225
15 200323
16 196223
17 198822
18 198913
19 196610
20 197010

About Will Hill

Will Hill is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction and Statistical and Nonlinear Physics, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Recommender Systems and Techniques (7 papers), Personal Information Management and User Behavior (6 papers), Usability and User Interface Design (6 papers), Complex Network Analysis Techniques (5 papers), Data Visualization and Analytics (4 papers), Expert finding and Q&A systems (2 papers) and Information Retrieval and Search Behavior (2 papers). The work is most often cited by research in Information Systems (1.6k citations), Human-Computer Interaction (183 citations), Communication (195 citations), Computer Science Applications (146 citations) and Information Systems and Management (175 citations). Will Hill has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Loren Terveen, Larry Stead, Mark Rosenstein, George W. Furnas, Brian Amento, David W. McDonald, Steve Whittaker, Lynn Cherny, Deborah Hix and Kent Wittenburg. Their work appears in journals such as Folia Primatologica, ACM Transactions on Computer-Human Interaction, Experimental Biology and Medicine, Journal of Nutrition 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.

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