Guy De Tré

252 papers receiving 2.4k citations

Peers

Guy De Tré
Comparison fields: 5 of 170
  • Signal Processing 890
  • Management Science and Operations Research 658
  • Geography, Planning and Development 178
  • Computer Networks and Communications 603
  • Artificial Intelligence 817
Replace David W. Cheung with:
David W. Cheung Hong Kong
Antoon Bronselaer Belgium
Weiru Liu United Kingdom
Martin Scholz Germany
Lei Zhao China
Ioannis Katakis Greece
Caetano Traina Brazil
Kevin Y. Yip Hong Kong
Yukun Chen China
Guy De Tré relative to David W. Cheung Hong Kong David W. Cheung's profile →
Citations per field
00.5×4.3×
David W. Cheung · 1×
Citations per year

Countries citing papers authored by Guy De Tré

Since Specialization
Citations

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

Fields of papers citing papers by Guy De Tré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2018181
3 2020130
4 2012129
5 2012125
6 201178
7
A qualitative trajectory calculus as a basis for representing moving objects in Geographical Information Systems
200668
8 200839
9 201138
10 200336
11 201534
12 201034
13 200930
14 201829
15
Current issues in data and knowledge engineering
200427
16 200227
17 200926
18 201726
19 201325
20 201424

About Guy De Tré

Guy De Tré is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research and Computational Theory and Mathematics, having authored 267 papers that have together received 2.5k indexed citations. Recurring topics across this work include Data Management and Algorithms (141 papers), Advanced Database Systems and Queries (68 papers), Multi-Criteria Decision Making (53 papers), Constraint Satisfaction and Optimization (47 papers), Rough Sets and Fuzzy Logic (38 papers), Semantic Web and Ontologies (37 papers), Data Quality and Management (34 papers) and Geographic Information Systems Studies (24 papers). The work is most often cited by research in Signal Processing (890 citations), Management Science and Operations Research (658 citations), Geography, Planning and Development (178 citations), Computer Networks and Communications (603 citations) and Artificial Intelligence (817 citations). Guy De Tré has collaborated with scholars based in Belgium, Poland and Spain. Frequent co-authors include Antoon Bronselaer, Rita De Caluwe, Sławomir Zadrożny, Joachim Nielandt, Janusz Kacprzyk, Bart De Spiegeleer, Nico Van de Weghe, Evelien Wynendaele, Luis Martı́nez and Rosa M. Rodríguez. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Intelligent Systems, IEEE Transactions on Fuzzy Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Information Sciences.

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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