Gary Kahn

752 citations
24 papers · 487 · h-index 9

Impact in

    • AI-based Problem Solving and Planning
    • Semantic Web and Ontologies
    • Logic, Reasoning, and Knowledge
    • Bayesian Modeling and Causal Inference
  • Software top 10%

Papers in

Gary Kahn

20 papers receiving 415 citations

Peers

Gary Kahn
Comparison fields: 5 of 85
  • Artificial Intelligence 294
  • Software 34
  • Family Practice 19
  • Information Systems 87
  • Research and Theory 2
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Citations per year

Countries citing papers authored by Gary Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Gary Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Gary Kahn, 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 Gary Kahn Line = papers co-authored together Gary Kahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986120
2
MORE: an intelligent knowledge acquisition tool
198590
3 198572
4 197965
5
TEST: a model-driven application shell
198725
6
A foundation for knowledge acquisition
198418
7 198717
8 201515
9
Teaching interpersonal skills in family practice: results of a national survey.
197911
10
From application shell to knowledge acquisition system
19878
11
On when diagnostic systems want to do without causal knowledge
19848
12
Repair strategies in a diagnostic expert system
19878
13 19906
14 19935
15
Computer-generated patient handouts.
19935
16
Making sense of gigabytes: a system for knowledge-based market analysis
19923
17
TeleCITE: Telehealth-A Cochlear Implant Therapy Exchange
20123
18 19803
19 19802
20 20241

About Gary Kahn

Gary Kahn is a scholar working on Artificial Intelligence, Social Psychology, Software, General Health Professions and Information Systems, having authored 24 papers that have together received 487 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Semantic Web and Ontologies (4 papers), Cognitive and psychological constructs research (3 papers), Model-Driven Software Engineering Techniques (3 papers), Interprofessional Education and Collaboration (2 papers), Healthcare Systems and Technology (2 papers), Advanced Text Analysis Techniques (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (294 citations), Software (34 citations), Family Practice (19 citations), Information Systems (87 citations) and Research and Theory (2 citations). Gary Kahn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John McDermott, Hilliard Jason, Steven J. Nowlan, Diane Behl, Robert L. Joseph, Lance J. Rips, Arlene Stredler-Brown, Neil Jacobstein, Anu Sharma and Robert E. Schlenker. Their work appears in journals such as Medical Teacher, Telemedicine Journal and e-Health, Behavioral and Brain Sciences, Academic Medicine and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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