David Belanger
Impact in
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- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Bioinformatics 4
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 2
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- Machine Learning and Algorithms 3
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Co-authors
- Lucy J. Colwell (5 shared papers)Maxwell L. Bileschi (3 shared papers)Theo Sanderson (2 shared papers)Mark A. DePristo (1 shared paper)D. Sculley (1 shared paper)Drew Bryant (1 shared paper)Alex Bateman (1 shared paper)Brandon Carter (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Cell Systems (1 paper)Theory and applications of categories (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)eLife (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
David Belanger
12 papers receiving 310 citations
David Belanger's Hit Papers
Peers
Comparison fields: 5 of 61
- Molecular Biology 213
- Computational Theory and Mathematics 37
- Artificial Intelligence 40
- Applied Microbiology and Biotechnology 2
- Biophysics 6
Countries citing papers authored by David Belanger
This map shows the geographic impact of David Belanger'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 David Belanger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Belanger more than expected).
Fields of papers citing papers by David Belanger
This network shows the impact of papers produced by David Belanger. 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 David Belanger. The network helps show where David Belanger may publish in the future.
Co-authors
The 25 scholars most cited alongside David Belanger, 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 | Using deep learning to annotate the protein universe Hit paper breakdown → | 2022 | 173 |
| 2 | 2023 | 86 | |
| 3 | Learning Latent Permutations with Gumbel-Sinkhorn Networks | 2018 | 19 |
| 4 | 2012 | 9 | |
| 5 | 2025 | 8 | |
| 6 | 2021 | 7 | |
| 7 | Marginal Inference in MRFs using Frank-Wolfe | 2013 | 6 |
| 8 | 2021 | 5 | |
| 9 | MAP Inference in Chains using Column Generation | 2012 | 3 |
| 10 | Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. | 2013 | 3 |
| 11 | 2023 | 1 | |
| 12 | Bethe Learning of Graphical Models via MAP Decoding | 2016 | 1 |
About David Belanger
David Belanger is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition and Ecology, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (3 papers), Machine Learning and Algorithms (3 papers), Natural Language Processing Techniques (3 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (2 papers), Topic Modeling (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (213 citations), Computational Theory and Mathematics (37 citations), Artificial Intelligence (40 citations), Applied Microbiology and Biotechnology (2 citations) and Biophysics (6 citations). David Belanger has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lucy J. Colwell, Maxwell L. Bileschi, Theo Sanderson, Mark A. DePristo, D. Sculley, Drew Bryant, Alex Bateman, Brandon Carter, Scott W. Linderman and Jasper Snoek. Their work appears in journals such as Nature Biotechnology, Cell Systems, Theory and applications of categories, Bioorganic & Medicinal Chemistry Letters and eLife.
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.