Brian R. Gaines

8.1k citations
177 papers · 4.4k indexed · h-index 33
Topics
Semantic Web and Ontologies (35 papers)AI-based Problem Solving and Planning (27 papers)Logic, Reasoning, and Knowledge (20 papers)

In The Last Decade

Brian R. Gaines

171 papers receiving 3.9k citations

Peers

Brian R. Gaines
Comparison fields: 5 of 173
  • Artificial Intelligence 2.5k
  • Information Systems 815
  • Management Science and Operations Research 765
  • Computational Theory and Mathematics 675
  • Computer Networks and Communications 506
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Countries citing papers authored by Brian R. Gaines

Since Specialization
Citations

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

Fields of papers citing papers by Brian R. Gaines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian R. Gaines. 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 Brian R. Gaines. The network helps show where Brian R. Gaines may publish in the future.

Co-authorship network of co-authors of Brian R. Gaines

This figure shows the co-authorship network connecting the top 25 collaborators of Brian R. Gaines. A scholar is included among the top collaborators of Brian R. Gaines 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 Brian R. Gaines. Brian R. Gaines 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
#WorkIndexed citations
1
A Study of Requirements Negotiations in Virtual Project Teams
8
2
HCI in the Next Millennium: Supporting the World Mind.
4
3
Concurrent manufacturing on the Web.
1
4
Transforming rules and trees
1
5
Convergence to the Information Superhighway.
0
6
Methodological issues in studying and supporting awareness on the World Wide Web.
3
7
The Learning Web: A System View and an Agent-Oriented Model
5
8
Structured and unstructured induction with EDAGs
3
9
Using knowledge acquisition and representation tools to support scientific communities
20
10
The quantification of knowledge: formal foundations for acquisition methodologies
2
11
Current Developments in Knowledge Acquisition EKAW '92: 6th European Knowledge Acquisition Workshop, Heidelberg and Kaiserslautern, Germany, May 18 - 22, 1992; proceedings
1
12
Interaction types and chemistry of generic task models
5
13
An Integrated Knowledge Support System.
3
14
Integrating rules in term subsumption knowledge representation servers
15
15 20
16
An interactive visual language for term subsumption languages
32
17
Supporting Acquisition and Interpretation of Knowledge in a Hypermedia Environment.
4
18
Comparing the conceptual systems of experts
37
19
Knowledge structures for intelligent interaction
1
20 24

About Brian R. Gaines

Brian R. Gaines is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Human-Computer Interaction, having authored 177 papers that have together received 4.4k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (35 papers), AI-based Problem Solving and Planning (27 papers) and Logic, Reasoning, and Knowledge (20 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Management Science and Operations Research (765 citations) and Human-Computer Interaction (272 citations). Brian R. Gaines has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Mildred L. G. Shaw, E.H. Mamdani, John H. Boose, Ladislav Kohout, Paul Compton, Lotfi A. Zadeh, H.-J. Zimmermann, Marta Shaw, Armin Eberlein and Tianrui Li. Their work appears in journals such as Nature, Proceedings of the IEEE and Annals of Neurology.

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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