Sue E. Kase

515 citations
37 papers · 321 · h-index 10

Impact in

Papers in

Sue E. Kase

33 papers receiving 298 citations

Peers

Sue E. Kase
Comparison fields: 5 of 92
  • Physical Therapy, Sports Therapy and Rehabilitation 32
  • Neurology 77
  • Human-Computer Interaction 23
  • Artificial Intelligence 88
  • Psychiatry and Mental health 40
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Antoni Jaume-i-Capó Spain
Rudi Villing Ireland
Ariel Soares Teles Brazil
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Stefano A. Cerri France
María-Luisa Martín-Ruiz Spain
Eloisa Vargiu Italy
Chris Exton Ireland
Ifeoma Nwogu United States
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Citations per year

Countries citing papers authored by Sue E. Kase

Since Specialization
Citations

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

Fields of papers citing papers by Sue E. Kase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue E. Kase. 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 Sue E. Kase. The network helps show where Sue E. Kase may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198691
2 201527
3 202025
4 202020
5 201220
6 202217
7 201912
8
Extraction of Semantic Activities from Twitter Data.
201312
9 20179
10 20149
11
Modeling the Range of Performance on the Serial Subtraction Task
20079
12 20188
13
Parallel genetic algorithm optimization of a cognitive model: investigating group and individual performance on a math stressor task
20086
14 20065
15 20185
16
From modeler-free individual data fitting to 3-D parametric prediction landscapes: A research expedition
20084
17 20104
18 20084
19 20214
20
Serial Subtraction Errors Revealed
20093

About Sue E. Kase

Sue E. Kase is a scholar working on Artificial Intelligence, Sociology and Political Science, Social Psychology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 37 papers that have together received 321 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Misinformation and Its Impacts (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), AI-based Problem Solving and Planning (4 papers), Human-Automation Interaction and Safety (4 papers), Advanced Text Analysis Techniques (4 papers), Neural and Behavioral Psychology Studies (3 papers) and Cognitive and developmental aspects of mathematical skills (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (32 citations), Neurology (77 citations), Human-Computer Interaction (23 citations), Artificial Intelligence (88 citations) and Psychiatry and Mental health (40 citations). Sue E. Kase has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include William C. Koller, Frank E. Ritter, Simon Su, Laura Cousino Klein, Mary Beth Rosson, Phillip J. Quartana, Michael J. Schoelles, Yu Su, Shengqi Yang and Mudhakar Srivatsa. Their work appears in journals such as Journal of the Association for Information Systems, Computational and Mathematical Organization Theory, Frontiers in Psychology, IEEE Transactions on Professional Communication and Journal of Cognitive Engineering and Decision Making.

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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