John H. Boose

2.2k total citations
44 papers, 1.4k citations indexed

About

John H. Boose is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, John H. Boose has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Social Psychology and 5 papers in Information Systems. Recurrent topics in John H. Boose's work include AI-based Problem Solving and Planning (12 papers), Bayesian Modeling and Causal Inference (8 papers) and Semantic Web and Ontologies (7 papers). John H. Boose is often cited by papers focused on AI-based Problem Solving and Planning (12 papers), Bayesian Modeling and Causal Inference (8 papers) and Semantic Web and Ontologies (7 papers). John H. Boose collaborates with scholars based in United States, Canada and Australia. John H. Boose's co-authors include Jeffrey M. Bradshaw, Brian R. Gaines, Tianrui Li, Riichiro Mizoguchi, Hiroshi Motoda, Kenneth M. Ford, Jack Adams‐Webber, Yves Kodratoff, Gheorghe Tecuci and Jean‐Gabriel Ganascia and has published in prestigious journals such as Machine Learning, Future Generation Computer Systems and International Journal of Human-Computer Studies.

In The Last Decade

John H. Boose

42 papers receiving 1.2k citations

Peers

John H. Boose
Comparison fields: 5 of 115
  • Artificial Intelligence 931
  • Information Systems 313
  • Management Science and Operations Research 199
  • Social Psychology 191
  • Computer Networks and Communications 111
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Citations per field, relative to John H. Boose
John H. Boose · 1×
Citations per year, relative to John H. Boose
John H. Boose · 1×

Countries citing papers authored by John H. Boose

Since Specialization
Citations

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

Fields of papers citing papers by John H. Boose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Boose. 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 John H. Boose. The network helps show where John H. Boose may publish in the future.

Co-authorship network of co-authors of John H. Boose

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Boose. A scholar is included among the top collaborators of John H. Boose based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John H. Boose. John H. Boose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 2
3
Current Developments in Knowledge Acquisition EKAW '92: 6th European Knowledge Acquisition Workshop, Heidelberg and Kaiserslautern, Germany, May 18 - 22, 1992; proceedings
1
4
Proceedings of the 6th European Knowledge Acquisition Workshop on Current Developments in Knowledge Acquisition: EKAW '92
1
5
Choosing knowledge acquisition strategies for application tasks
1
6 1
7
Selecting knowledge acquisition tools and strategies based on application characteristics
7
8
Refining problem-solving knowledge in repertory grids using a consultation mechanism
1
9 12
10
Current Trends in Knowledge Acquisition
95
11
AQUINAS: a knowledge-acquisition workbench
3
12 150
13 26
14 29
15
Knowledge Acquisition Techniques and Tools: Current Research Strategies and Approaches.
4
16 17
17 190
18
ETS—a system for the transfer of human expertise
12
19
Rapid Acquisition and Combination of Knowledge from Multiple Experts in the Same Domain.
52
20
Personal construct theory and the transfer of human expertise
40

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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