Bill Kules

1.4k citations
30 papers · 932 indexed · h-index 15

Bill Kules

28 papers receiving 878 citations

Peers

Bill Kules
Comparison fields: 5 of 86
  • Human-Computer Interaction 163
  • Information Systems 412
  • Computer Science Applications 96
  • Information Systems and Management 111
  • Computer Vision and Pattern Recognition 215
Replace Zhiwei Guan with:
Zhiwei Guan China
Anne Aula Finland
Martha E. Crosby United States
Anita Komlódi United States
Jesse James Garrett Finland
Morgan Harvey United Kingdom
Melanie Kellar Canada
Ioannis Arapakis Spain
Yueh Min Huang Taiwan
Paul Mulholland United Kingdom
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Citations per year

Countries citing papers authored by Bill Kules

Since Specialization
Citations

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

Fields of papers citing papers by Bill Kules

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20171
2 201632
3 201421
4
COMPUTER INFORMATION RETRIEVAL
20130
5 20112
6 201115
7
LIS Program Expectations of Incoming Students' Technology Knowledge and Skills
20108
8 200923
9
Faceted Search for Library Catalogs: Developing Grounded Tasks and Analyzing Eye-Tracking Data.
20091
10 20072
11 20071
12
Supporting exploratory search
2006130
13 2006166
14 2006131
15 200626
16
Categorized graphical overviews for web search results: An exploratory study using U. S. government agencies as a meaningful and stable structure
20048
17 20034
18 20039
19
Immediate Usability: Kiosk design principles from the CHI 2001 Photo Library
20033
20 200056

About Bill Kules

Bill Kules is a scholar working on Human-Computer Interaction, Information Systems and Computer Science Applications, having authored 30 papers that have together received 932 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (10 papers), Semantic Web and Ontologies (7 papers), Web Data Mining and Analysis (5 papers), Gaze Tracking and Assistive Technology (4 papers), Data Visualization and Analytics (4 papers), Advanced Text Analysis Techniques (3 papers), Geographic Information Systems Studies (3 papers) and Library Science and Information Systems (3 papers). The work is most often cited by research in Human-Computer Interaction (163 citations), Information Systems (412 citations) and Computer Science Applications (96 citations). Bill Kules has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ben Shneiderman, Ryen W. White, m.c. schraefel, Steven M. Drucker, R. Capra, Adel Youssef, Mary Czerwinski, Jay F. Nunamaker, Gerhard Fischer and Brad A. Myers. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, ACM SIGIR Forum, Information Processing & Management, Communications of the ACM and Journal of the Association for Information Systems.

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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