Pierrick Legrand
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Signal Processing
- Co-authors
- Leonardo TrujilloJacques Lévy VéhelPierre Del MoralCarlos A. Coello CoelloÉric GrivelPascal BouvryÉvelyne LuttonGustavo Olague
- Topics
- Evolutionary Algorithms and Applications (15 papers)Metaheuristic Optimization Algorithms Research (14 papers)Complex Systems and Time Series Analysis (11 papers)
- Partner nations
- FranceMexicoLuxembourg
In The Last Decade
Pierrick Legrand
53 papers receiving 383 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 134
- Cognitive Neuroscience 77
- Computer Vision and Pattern Recognition 71
- Computational Theory and Mathematics 58
- Signal Processing 43
Countries citing papers authored by Pierrick Legrand
This map shows the geographic impact of Pierrick Legrand'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 Pierrick Legrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierrick Legrand more than expected).
Fields of papers citing papers by Pierrick Legrand
This network shows the impact of papers produced by Pierrick Legrand. 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 Pierrick Legrand. The network helps show where Pierrick Legrand may publish in the future.
Co-authorship network of co-authors of Pierrick Legrand
This figure shows the co-authorship network connecting the top 25 collaborators of Pierrick Legrand. A scholar is included among the top collaborators of Pierrick Legrand 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 Pierrick Legrand. Pierrick Legrand 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 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico | 3 |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | Local regularity-based interpolation | 4 |
About Pierrick Legrand
Pierrick Legrand is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 58 papers that have together received 403 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Complex Systems and Time Series Analysis (11 papers). The work is most often cited by research in Software (16 citations), Artificial Intelligence (134 citations) and Signal Processing (43 citations). Pierrick Legrand has collaborated with scholars based in France, Mexico and Luxembourg. Frequent co-authors include Leonardo Trujillo, Jacques Lévy Véhel, Pierre Del Moral, Carlos A. Coello Coello, Éric Grivel, Pascal Bouvry, Évelyne Lutton, Gustavo Olague, Marie Chavent and Pierre Collet. Their work appears in journals such as Optics Express, 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.