Frank Shipman

157 papers receiving 2.8k citations

Peers

Frank Shipman
Comparison fields: 5 of 104
  • Human-Computer Interaction 957
  • Information Systems and Management 524
  • Computer Science Applications 342
  • Information Systems 1.0k
  • Computer Vision and Pattern Recognition 908
Replace Catherine C. Marshall with:
Catherine C. Marshall United States
Danyel Fisher United States
Andreas Paepcke United States
Alfred Kobsa United States
Stuart Card United States
Jeffrey Nichols United States
Thomas P. Moran United States
W. Keith Edwards United States
Clayton Lewis United States
David Benyon United Kingdom
Frank Shipman relative to Catherine C. Marshall United States Catherine C. Marshall's profile →
Citations per field
00.5×1.7×
Catherine C. Marshall · 1×
Citations per year

Countries citing papers authored by Frank Shipman

Since Specialization
Citations

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

Fields of papers citing papers by Frank Shipman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995185
2 1999171
3 1994157
4 1997112
5 1994104
6 1997102
7 199594
8 200181
9 199377
10 199776
11 199473
12 199263
13 199256
14 200352
15 200649
16 198948
17 201347
18 199942
19 200739
20 200737

About Frank Shipman

Frank Shipman is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence and Information Systems, having authored 163 papers that have together received 3.1k indexed citations. Recurring topics across this work include Usability and User Interface Design (41 papers), Personal Information Management and User Behavior (32 papers), Multimedia Communication and Technology (27 papers), Video Analysis and Summarization (23 papers), Semantic Web and Ontologies (19 papers), Data Visualization and Analytics (18 papers), Web Data Mining and Analysis (17 papers) and Mobile Crowdsensing and Crowdsourcing (14 papers). The work is most often cited by research in Human-Computer Interaction (957 citations), Information Systems and Management (524 citations), Computer Science Applications (342 citations), Information Systems (1.0k citations) and Computer Vision and Pattern Recognition (908 citations). Frank Shipman has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Catherine C. Marshall, Raymond J. McCall, Haowei Hsieh, Andreas Girgensohn, Lynn Wilcox, Richard Furuta, Brent N. Reeves, Jonathan M. Moore, James H. Coombs and Preetam Maloor. Their work appears in journals such as Communications of the ACM, Proceedings of the American Society for Information Science and Technology, ACM Transactions on Information Systems, Journal of Management Information Systems and International Journal on Digital Libraries.

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