Marc Bui

485 citations
61 papers · 292 · h-index 9

Impact in

Papers in

Marc Bui

52 papers receiving 271 citations

Peers

Marc Bui
Comparison fields: 5 of 71
  • Computer Networks and Communications 100
  • Statistical and Nonlinear Physics 45
  • Computational Theory and Mathematics 37
  • Artificial Intelligence 65
  • Information Systems 38
Replace Mingyue Jiang with:
Mingyue Jiang China
Lluís-Miquel Munguía United States
Andrey Kolobov United States
Sunil Thulasidasan United States
Wenguo Yang China
Predrag T. Tošić United States
Hao Qian China
Allan T. Andersen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Marc Bui

Since Specialization
Citations

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

Fields of papers citing papers by Marc Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200440
2 201330
3 200619
4 202318
5 201715
6 200210
7
Proceedings of the Fifth Symposium on Information and Communication Technology
20149
8 20228
9
Basics of pretopology
20118
10 20038
11 20197
12 19957
13 20097
14 20066
15 20156
16
A Uniform Self-Stabilizing Minimum Diameter Tree Algorithm (Extended Abstract)
19955
17 20125
18
Proceedings of the Fourth Symposium on Information and Communication Technology
20135
19 20194
20 20194

About Marc Bui

Marc Bui is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 61 papers that have together received 292 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Opinion Dynamics and Social Influence (8 papers), Handwritten Text Recognition Techniques (7 papers), Distributed systems and fault tolerance (7 papers), Image Processing and 3D Reconstruction (6 papers), Complex Systems and Time Series Analysis (6 papers), Advanced Clustering Algorithms Research (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Computer Networks and Communications (100 citations), Statistical and Nonlinear Physics (45 citations), Computational Theory and Mathematics (37 citations), Artificial Intelligence (65 citations) and Information Systems (38 citations). Marc Bui has collaborated with scholars based in France, Vietnam and Switzerland. Frequent co-authors include Alain Bui, Ajoy K. Datta, Huỳnh Quyết Thắng, Andreas Fischer, Liming Chen, Michel Lamure, Yves Deville, Thomas Böhme, Herwig Unger and Gérard Duru. Their work appears in journals such as Journal of Parallel and Distributed Computing, Lecture notes in computer science, Journal of Marketing Analytics, International Journal of Foundations of Computer Science and Advances in oto-rhino-laryngology.

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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