Freyr Sverrisson
Impact in
-
- Computational Drug Discovery Methods
-
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
Papers in
-
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 1
- vaccines and immunoinformatics approaches 1
- RNA and protein synthesis mechanisms 1
-
- Computational Drug Discovery Methods 2
- Co-authors
- Bruno E. Correia (5 shared papers)Michael M. Bronstein (4 shared papers)Pablo Gaínza (2 shared papers)Emanuele Rodolà (2 shared papers)Davide Boscaini (1 shared paper)Federico Monti (2 shared papers)Jean Feydy (2 shared papers)Che Yang (1 shared paper)
- Journals
- Nature Methods (1 paper)PLoS Computational Biology (1 paper)SPIRE - Sciences Po Institutional REpository (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- SwitzerlandUnited KingdomItaly
In The Last Decade
Freyr Sverrisson
4 papers receiving 501 citations
Freyr Sverrisson's Hit Papers
Peers
Comparison fields: 5 of 84
- Computational Theory and Mathematics 194
- Molecular Biology 403
- Biophysics 17
- Materials Chemistry 119
- Radiology, Nuclear Medicine and Imaging 55
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 19 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 | Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning Hit paper breakdown → | 2019 | 449 |
| 2 | 2021 | 38 | |
| 3 | 2018 | 27 | |
| 4 | 2019 | 1 | |
| 5 | DiffMaSIF: Surface-based Protein-Protein Docking with Diffusion Models | 2023 | 0 |
About Freyr Sverrisson
Freyr Sverrisson is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 515 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (2 papers), Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper), 3D Shape Modeling and Analysis (1 paper), vaccines and immunoinformatics approaches (1 paper), RNA and protein synthesis mechanisms (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (194 citations), Molecular Biology (403 citations), Biophysics (17 citations), Materials Chemistry (119 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Freyr Sverrisson has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Bruno E. Correia, Michael M. Bronstein, Pablo Gaínza, Emanuele Rodolà, Davide Boscaini, Federico Monti, Jean Feydy, Che Yang, Fabian Sesterhenn and Jaume Bonet. Their work appears in journals such as Nature Methods, PLoS Computational Biology, SPIRE - Sciences Po Institutional REpository and Zenodo (CERN European Organization for Nuclear Research).
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.