Valentin Dalibard
Impact in
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- Parallel Computing and Optimization Techniques
Papers in
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- Metaheuristic Optimization Algorithms Research 2
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- Advanced Data Storage Technologies 2
- Co-authors
- Eiko Yoneki (4 shared papers)Amitabha Roy (2 shared papers)Max Jaderberg (1 shared paper)Sagi Perel (1 shared paper)Ang Li (1 shared paper)Yutian Chen (2 shared papers)Robert Tjarko Lange (2 shared papers)Tom Zahavy (2 shared papers)
- Journals
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)CL Technical Reports (2 papers)Proceedings of the Genetic and Evolutionary Computation Conference (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Valentin Dalibard
7 papers receiving 130 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 29
- Computer Networks and Communications 53
- Artificial Intelligence 69
- Information Systems 41
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Valentin Dalibard
This map shows the geographic impact of Valentin Dalibard'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 Valentin Dalibard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Dalibard more than expected).
Fields of papers citing papers by Valentin Dalibard
This network shows the impact of papers produced by Valentin Dalibard. 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 Valentin Dalibard. The network helps show where Valentin Dalibard may publish in the future.
Co-authors
The 20 scholars most cited alongside Valentin Dalibard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2019 | 28 | |
| 3 | 2014 | 28 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 10 | |
| 6 | Community Detection in Multi-Layer Networks | 2012 | 1 |
| 7 | 2021 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2021 | 0 |
About Valentin Dalibard
Valentin Dalibard is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 9 papers that have together received 131 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Graph Theory and Algorithms (2 papers), Advanced Data Storage Technologies (2 papers), Robotic Mechanisms and Dynamics (1 paper), Embedded Systems Design Techniques (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Hardware and Architecture (29 citations), Computer Networks and Communications (53 citations), Artificial Intelligence (69 citations), Information Systems (41 citations) and Computer Vision and Pattern Recognition (27 citations). Valentin Dalibard has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Eiko Yoneki, Amitabha Roy, Max Jaderberg, Sagi Perel, Ang Li, Yutian Chen, Robert Tjarko Lange, Tom Zahavy, David Budden and Chenjie Gu. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), CL Technical Reports and Proceedings of the Genetic and Evolutionary Computation Conference.
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.