Maurice Tchuenté
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Genetics
- Co-authors
- Éric GolesJacques DemongeotPierre AugerYves RobertGauthier SalletEmmanuel ViennetBerge TsanouOlivier Romain
- Topics
- Cellular Automata and Applications (10 papers)Interconnection Networks and Systems (10 papers)semigroups and automata theory (8 papers)
- Partner nations
- FranceCameroonUnited States
In The Last Decade
Maurice Tchuenté
58 papers receiving 533 citations
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 161
- Computational Theory and Mathematics 130
- Artificial Intelligence 122
- Public Health, Environmental and Occupational Health 118
- Genetics 76
Countries citing papers authored by Maurice Tchuenté
This map shows the geographic impact of Maurice Tchuenté'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 Maurice Tchuenté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Tchuenté more than expected).
Fields of papers citing papers by Maurice Tchuenté
This network shows the impact of papers produced by Maurice Tchuenté. 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 Maurice Tchuenté. The network helps show where Maurice Tchuenté may publish in the future.
Co-authorship network of co-authors of Maurice Tchuenté
This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Tchuenté. A scholar is included among the top collaborators of Maurice Tchuenté 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 Maurice Tchuenté. Maurice Tchuenté is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 61 | |
| 8 | 11 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | Sequences Generated by Neuronal Automata with Memory. | 7 |
| 13 | 7 | |
| 14 | 2 | |
| 15 | An efficient systolic array for the 1D recursive convolution problem | 2 |
| 16 | 27 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | 7 |
About Maurice Tchuenté
Maurice Tchuenté is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 61 papers that have together received 580 indexed citations. Recurring topics across this work include Cellular Automata and Applications (10 papers), Interconnection Networks and Systems (10 papers) and semigroups and automata theory (8 papers). The work is most often cited by research in Modeling and Simulation (72 citations), Hardware and Architecture (60 citations) and Computational Theory and Mathematics (130 citations). Maurice Tchuenté has collaborated with scholars based in France, Cameroon and United States. Frequent co-authors include Éric Goles, Jacques Demongeot, Pierre Auger, Yves Robert, Gauthier Sallet, Emmanuel Viennet, Berge Tsanou, Olivier Romain, Joydev Chattopadhyay and Wolfram Koepf. Their work appears in journals such as PLoS ONE, Sensors and Journal of Theoretical Biology.
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.