Bill Kules

1.5k citations
31 papers · 1.1k · h-index 15

Impact in

Papers in

    • Information Retrieval and Search Behavior 11
    • Web Data Mining and Analysis 5
    • Library Science and Information Systems 3
    • Semantic Web and Ontologies 8
    • Advanced Text Analysis Techniques 3

Bill Kules

29 papers receiving 1.0k citations

Peers

Bill Kules
Comparison fields: 5 of 84
  • Human-Computer Interaction 199
  • Information Systems 490
  • Computer Science Applications 105
  • Information Systems and Management 124
  • Computer Vision and Pattern Recognition 244
Replace Zhiwei Guan with:
Zhiwei Guan China
Martha E. Crosby United States
Anne Aula Finland
Ioannis Arapakis Spain
David Novick United States
Yueh Min Huang Taiwan
Melanie Kellar Canada
Dennis E. Egan United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006202
2
Supporting exploratory search
2006156
3 2006153
4 2009118
5 200783
6 200066
7 201637
8 201136
9 200635
10 200532
11 200632
12 201430
13 200926
14 200418
15 201117
16 200211
17
LIS Program Expectations of Incoming Students' Technology Knowledge and Skills
20109
18 20039
19
Categorized graphical overviews for web search results: An exploratory study using U. S. government agencies as a meaningful and stable structure
20049
20 20105

About Bill Kules

Bill Kules is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Science Applications, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (11 papers), Semantic Web and Ontologies (8 papers), Web Data Mining and Analysis (5 papers), Data Visualization and Analytics (4 papers), Gaze Tracking and Assistive Technology (4 papers), Library Science and Information Systems (3 papers), Geographic Information Systems Studies (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (199 citations), Information Systems (490 citations), Computer Science Applications (105 citations), Information Systems and Management (124 citations) and Computer Vision and Pattern Recognition (244 citations). Bill Kules has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Ben Shneiderman, Ryen W. White, Steven M. Drucker, m.c. schraefel, R. Capra, Adel Youssef, Mike Eisenberg, Pamela Jennings, Randy Pausch and Mary Czerwinski. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, ACM SIGIR Forum, Communications of the ACM and Big Data.

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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