Thomas Pierrot
Impact in
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Chromatin Dynamics
- Genetics, Bioinformatics, and Biomedical Research
- Gene expression and cancer classification
Papers in
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- Reinforcement Learning in Robotics 4
- Explainable Artificial Intelligence (XAI) 2
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- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Co-authors
- Karim Beguir (8 shared papers)Guillaume Richard (5 shared papers)Nicolás López Carranza (3 shared papers)Bernardo P. de Almeida (5 shared papers)Marcin J. Skwark (3 shared papers)Hugo Dalla-Torre (4 shared papers)Liam Gonzalez (3 shared papers)Javier Mendoza‐Revilla (3 shared papers)
- Journals
- Nature Methods (2 papers)Bioinformatics (1 paper)Computers in Biology and Medicine (1 paper)Nature Machine Intelligence (1 paper)Communications Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Thomas Pierrot
14 papers receiving 243 citations
Thomas Pierrot's Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 3
- Molecular Biology 100
- Artificial Intelligence 38
- Modeling and Simulation 4
- Genetics 22
Countries citing papers authored by Thomas Pierrot
This map shows the geographic impact of Thomas Pierrot'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 Thomas Pierrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pierrot more than expected).
Fields of papers citing papers by Thomas Pierrot
This network shows the impact of papers produced by Thomas Pierrot. 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 Thomas Pierrot. The network helps show where Thomas Pierrot may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Pierrot, 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 | Nucleotide Transformer: building and evaluating robust foundation models for human genomics Hit paper breakdown → | 2024 | 143 |
| 2 | 2024 | 41 | |
| 3 | 2023 | 21 | |
| 4 | 2022 | 14 | |
| 5 | 2025 | 8 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 2 | |
| 10 | Learning Compositional Neural Programs with Recursive Tree Search and Planning | 2019 | 2 |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | Sample efficient Quality Diversity for neural continuous control | 2021 | 1 |
| 15 | Dynamic behaviour study of a satellite propellant tank using numerical and experimental vibratory tests | 2023 | 0 |
About Thomas Pierrot
Thomas Pierrot is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Control and Systems Engineering and Infectious Diseases, having authored 15 papers that have together received 246 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (4 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Advanced Control Systems Optimization (1 paper), Genetic and Environmental Crop Studies (1 paper) and Adaptive Dynamic Programming Control (1 paper). The work is most often cited by research in Health Informatics (3 citations), Molecular Biology (100 citations), Artificial Intelligence (38 citations), Modeling and Simulation (4 citations) and Genetics (22 citations). Thomas Pierrot has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Karim Beguir, Guillaume Richard, Nicolás López Carranza, Bernardo P. de Almeida, Marcin J. Skwark, Hugo Dalla-Torre, Liam Gonzalez, Javier Mendoza‐Revilla, Evan Trop and M. Lopez. Their work appears in journals such as Nature Methods, Bioinformatics, Computers in Biology and Medicine, Nature Machine Intelligence and Communications 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.