Will Hill
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Human-Computer Interaction top 2%
Papers in
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- Usability and User Interface Design 6
-
- Personal Information Management and User Behavior 6
- Co-authors
- Loren TerveenLarry SteadGeorge W. FurnasMark RosensteinBrian AmentoDavid W. McDonaldLynn ChernySteve Whittaker
- Journals
- ACM Transactions on Computer-Human Interaction (2 papers)Folia Primatologica (2 papers)Experimental Biology and Medicine (1 paper)AI Magazine (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Will Hill
31 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Information Systems 1.3k
- Human-Computer Interaction 153
- Communication 184
- Computer Science Applications 129
- Information Systems and Management 162
Countries citing papers authored by Will Hill
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 1 | |
| 2 | 2002 | 0 | |
| 3 | Beyond Recommender Systems: Helping People Help Each Other | 2001 | 159 |
| 4 | Using Microtechnologies to Build Micro-Robot Systems | 2000 | 3 |
| 5 | 2000 | 25 | |
| 6 | 2000 | 148 | |
| 7 | 1999 | 31 | |
| 8 | 1999 | 65 | |
| 9 | 1998 | 192 | |
| 10 | 1998 | 24 | |
| 11 | 1998 | 31 | |
| 12 | 1996 | 53 | |
| 13 | 1995 | 57 | |
| 14 | 1995 | 1 | |
| 15 | 1989 | 12 | |
| 16 | 1989 | 8 | |
| 17 | 1989 | 4 | |
| 18 | 1971 | 1 | |
| 19 | 1963 | 3 | |
| 20 | 1962 | 22 |
About Will Hill
Will Hill is a scholar working on Human-Computer Interaction, Information Systems and Management, Developmental Biology, Information Systems and Statistical and Nonlinear Physics, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (6 papers), Web Data Mining and Analysis (6 papers), Recommender Systems and Techniques (6 papers), Usability and User Interface Design (6 papers), Complex Network Analysis Techniques (5 papers), Data Visualization and Analytics (4 papers), Peer-to-Peer Network Technologies (2 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Information Systems (1.3k citations), Human-Computer Interaction (153 citations), Communication (184 citations), Computer Science Applications (129 citations) and Information Systems and Management (162 citations). Will Hill has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Loren Terveen, Larry Stead, George W. Furnas, Mark Rosenstein, Brian Amento, David W. McDonald, Lynn Cherny, Steve Whittaker, Deborah Hix and Kent Wittenburg. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, Folia Primatologica, Experimental Biology and Medicine, AI Magazine and The Journal of Infectious Diseases.
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.