Freyr Sverrisson
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 3
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- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 1
- Advanced Biosensing Techniques and Applications 1
- Co-authors
- Bruno E. Correia (6 shared papers)Michael M. Bronstein (5 shared papers)Federico Monti (2 shared papers)Pablo Gaínza (2 shared papers)Davide Boscaini (1 shared paper)Emanuele Rodolà (2 shared papers)Jean Feydy (3 shared papers)Teis Hansen (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature (1 paper)PLoS Computational Biology (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (3 papers)
- Partner nations
- SwitzerlandUnited KingdomItaly
In The Last Decade
Freyr Sverrisson
9 papers receiving 1.3k citations
Freyr Sverrisson's Hit Papers
Peers
Comparison fields: 5 of 134
- Energy Engineering and Power Technology 67
- Computational Theory and Mathematics 234
- Pollution 129
- Renewable Energy, Sustainability and the Environment 178
- General Energy 11
Countries citing papers authored by Freyr Sverrisson
This map shows the geographic impact of Freyr Sverrisson'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 Freyr Sverrisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Freyr Sverrisson more than expected).
Fields of papers citing papers by Freyr Sverrisson
This network shows the impact of papers produced by Freyr Sverrisson. 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 Freyr Sverrisson. The network helps show where Freyr Sverrisson may publish in the future.
Co-authors
The 25 scholars most cited alongside Freyr Sverrisson, 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 | Renewables 2020 - Global status report Hit paper breakdown → | 2020 | 565 |
| 2 | Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning Hit paper breakdown → | 2019 | 534 |
| 3 | De novo design of protein interactions with learned surface fingerprints Hit paper breakdown → | 2023 | 144 |
| 4 | 2021 | 46 | |
| 5 | 2018 | 31 | |
| 6 | Renewables in Cities 2021 Global Status Report | 2021 | 26 |
| 7 | Renewables 2018 - Global status report. A comprehensive annual overview of the state of renewable energy. Advancing the global renewable energy transition - Highlights of the REN21 Renewables 2018 Global Status Report in perspective | 2018 | 19 |
| 8 | Physics-informed deep neural network for rigid-body protein docking | 2022 | 3 |
| 9 | 2019 | 1 | |
| 10 | DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion Models | 2023 | 0 |
About Freyr Sverrisson
Freyr Sverrisson is a scholar working on Computational Theory and Mathematics, Molecular Biology, Biophysics, Industrial and Manufacturing Engineering and Pharmacology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers), Microbial Natural Products and Biosynthesis (1 paper), Cell Image Analysis Techniques (1 paper), Data Visualization and Analytics (1 paper), Machine Learning in Bioinformatics (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (67 citations), Computational Theory and Mathematics (234 citations), Pollution (129 citations), Renewable Energy, Sustainability and the Environment (178 citations) and General Energy (11 citations). Freyr Sverrisson has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Bruno E. Correia, Michael M. Bronstein, Federico Monti, Pablo Gaínza, Davide Boscaini, Emanuele Rodolà, Jean Feydy, Teis Hansen, Duncan Gibb and Che Yang. Their work appears in journals such as Nature Methods, Nature, PLoS Computational Biology, Zenodo (CERN European Organization for Nuclear Research) and HAL (Le Centre pour la Communication Scientifique Directe).
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.