Guy W. Mineau

1.3k citations
30 papers · 622 indexed · h-index 11

Guy W. Mineau

28 papers receiving 539 citations

Peers

Guy W. Mineau
Comparison fields: 5 of 77
  • Artificial Intelligence 421
  • Information Systems 303
  • Computational Theory and Mathematics 161
  • Signal Processing 95
  • Computer Networks and Communications 80
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Lorenza Saitta Italy
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Countries citing papers authored by Guy W. Mineau

Since Specialization
Citations

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

Fields of papers citing papers by Guy W. Mineau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy W. Mineau. 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 Guy W. Mineau. The network helps show where Guy W. Mineau may publish in the future.

Co-authorship network of co-authors of Guy W. Mineau

This figure shows the co-authorship network connecting the top 25 collaborators of Guy W. Mineau. A scholar is included among the top collaborators of Guy W. Mineau 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 Guy W. Mineau. Guy W. Mineau 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
Distributed data mining: why do more than aggregating models
2
2
Beyond TFIDF weighting for text categorization in the vector space model
155
3 2
4 0
5
A simple feature selection method for text classification
13
6 1
7
Simple Pre- and Post-Pruning Techniques for Large Conceptual Clustering Structures.
1
8
Conceptual Modeling Using Conceptual Graphs.
2
9
Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
1
10
Using CG Formal Contexts to Support Business System Interoperations (Research Note)
1
11
Incremental structuring of knowledge bases
16
12 31
13
Méthodes de classification conceptuelle basées sur les treillis de Galois et applications
20
14 60
15 23
16
Conceptual Graphs for Knowledge Representation: Proceedings of the First International Conference on Conceptual Structures, ICCS 93, Quebec, Canada, August 4-7, 1993
1
17
Induction of Generic Data Models by Conceptual Clustering.
3
18 2
19
Induction on conceptual graphs: finding common generalizations and compatible projections
3
20
Normalizing conceptual graphs
4

About Guy W. Mineau

Guy W. Mineau is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 30 papers that have together received 622 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Rough Sets and Fuzzy Logic (7 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Information Systems (303 citations), Artificial Intelligence (421 citations) and Computational Theory and Mathematics (161 citations). Guy W. Mineau has collaborated with scholars based in Canada and France. Frequent co-authors include Robert Godin, Rokia Missaoui, Hafedh Mili, Yves Lacouture, Daniel Lafond, Bernhard Ganter, J. Gecsei, John F. Sowa, Rokia Missaoui and Bernard Moulin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Mathematical Psychology and Data & Knowledge Engineering.

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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