Adrien Goëffon
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Industrial and Manufacturing Engineering
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Jin‐Kao HaoMatthieu BasseurYi ZhouArnaud LiefoogheFrédéric LardeuxFrédéric SaubionVincent Vigneron
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringArtificial Intelligence
- Partner nations
- France
In The Last Decade
Adrien Goëffon
11 papers receiving 105 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 65
- Computational Theory and Mathematics 45
- Industrial and Manufacturing Engineering 27
- Computer Networks and Communications 20
- Molecular Biology 20
Countries citing papers authored by Adrien Goëffon
This map shows the geographic impact of Adrien Goëffon'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 Adrien Goëffon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrien Goëffon more than expected).
Fields of papers citing papers by Adrien Goëffon
This network shows the impact of papers produced by Adrien Goëffon. 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 Adrien Goëffon. The network helps show where Adrien Goëffon may publish in the future.
Co-authorship network of co-authors of Adrien Goëffon
This figure shows the co-authorship network connecting the top 25 collaborators of Adrien Goëffon. A scholar is included among the top collaborators of Adrien Goëffon 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 Adrien Goëffon. Adrien Goëffon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 17 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 25 | |
| 13 | Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem | 0 |
About Adrien Goëffon
Adrien Goëffon is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 13 papers that have together received 106 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (45 citations), Industrial and Manufacturing Engineering (27 citations) and Artificial Intelligence (65 citations). Adrien Goëffon has collaborated with scholars based in France. Frequent co-authors include Jin‐Kao Hao, Matthieu Basseur, Yi Zhou, Arnaud Liefooghe, Frédéric Lardeux, Frédéric Saubion and Vincent Vigneron. Their work appears in journals such as European Journal of Operational Research, Information Sciences and Applied Soft Computing.
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.