Tom Sercu
Impact in
- Molecular Biology top 2%
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
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- Computational Drug Discovery Methods
Papers in
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- Speech Recognition and Synthesis 3
- Natural Language Processing Techniques 2
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- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
- Co-authors
- Alexander Rives (4 shared papers)Zeming Lin (2 shared papers)Robert Verkuil (2 shared papers)Roshan Rao (3 shared papers)Brian Hie (1 shared paper)Allan dos Santos Costa (1 shared paper)Joshua Meier (3 shared papers)Salvatore Candido (1 shared paper)
- Journals
- Nature Biomedical Engineering (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)International Conference on Learning Representations (2 papers)arXiv (Cornell University) (3 papers)
- Partner nations
- United StatesIsraelSingapore
In The Last Decade
Tom Sercu
16 papers receiving 3.5k citations
Tom Sercu's Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 2.9k
- Computational Theory and Mathematics 586
- Microbiology 124
- Structural Biology 21
- Health Informatics 17
Countries citing papers authored by Tom Sercu
This map shows the geographic impact of Tom Sercu'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 Tom Sercu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sercu more than expected).
Fields of papers citing papers by Tom Sercu
This network shows the impact of papers produced by Tom Sercu. 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 Tom Sercu. The network helps show where Tom Sercu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Sercu, 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 | Evolutionary-scale prediction of atomic-level protein structure with a language model Hit paper breakdown → | 2023 | 1968 |
| 2 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences Hit paper breakdown → | 2021 | 1429 |
| 3 | 2016 | 139 | |
| 4 | 2017 | 29 | |
| 5 | 2017 | 16 | |
| 6 | Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition | 2018 | 15 |
| 7 | Fisher GAN | 2017 | 9 |
| 8 | Improved Image Captioning with Adversarial Semantic Alignment. | 2018 | 6 |
| 9 | 2021 | 6 | |
| 10 | Sobolev GAN | 2018 | 6 |
| 11 | 2021 | 5 | |
| 12 | Interactive Visual Exploration of Latent Space (IVELS) for Peptide Auto-Encoder Model Selection | 2019 | 3 |
| 13 | MSA Transformer | 2021 | 3 |
| 14 | 2019 | 3 | |
| 15 | Transformer protein language models are unsupervised structure learners | 2021 | 2 |
| 16 | Improved Adversarial Image Captioning | 2019 | 1 |
About Tom Sercu
Tom Sercu is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Signal Processing and Statistical and Nonlinear Physics, having authored 16 papers that have together received 3.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Speech and Audio Processing (3 papers), Multimodal Machine Learning Applications (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers), Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Computational Theory and Mathematics (586 citations), Microbiology (124 citations), Structural Biology (21 citations) and Health Informatics (17 citations). Tom Sercu has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Alexander Rives, Zeming Lin, Robert Verkuil, Roshan Rao, Brian Hie, Allan dos Santos Costa, Joshua Meier, Salvatore Candido, Halil Akin and Ori Kabeli. Their work appears in journals such as Nature Biomedical Engineering, Science, Proceedings of the National Academy of Sciences, International Conference on Learning Representations and arXiv (Cornell University).
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.