Leslie O’Bray
Impact in
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- Computational Drug Discovery Methods
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- Advanced Graph Neural Networks
Papers in
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- Advanced Graph Neural Networks 3
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Karsten Borgwardt (5 shared papers)Giulia Muzio (2 shared papers)Bastian Rieck (4 shared papers)Felipe Llinares-López (2 shared papers)Krista Fischer (1 shared paper)Laetitia Meng-Papaxanthos (1 shared paper)Edward De Brouwer (1 shared paper)
- Journals
- Briefings in Bioinformatics (1 paper)Bioinformatics (1 paper)arXiv (Cornell University) (3 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- SwitzerlandEstoniaBelgium
In The Last Decade
Leslie O’Bray
5 papers receiving 204 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 42
- Artificial Intelligence 61
- Statistical and Nonlinear Physics 22
- Molecular Biology 114
- Biophysics 9
Countries citing papers authored by Leslie O’Bray
This map shows the geographic impact of Leslie O’Bray'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 Leslie O’Bray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie O’Bray more than expected).
Fields of papers citing papers by Leslie O’Bray
This network shows the impact of papers produced by Leslie O’Bray. 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 Leslie O’Bray. The network helps show where Leslie O’Bray may publish in the future.
Co-authors
The 7 scholars most cited alongside Leslie O’Bray, 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 | 2020 | 153 | |
| 2 | 2020 | 33 | |
| 3 | 2021 | 12 | |
| 4 | 2020 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 0 |
About Leslie O’Bray
Leslie O’Bray is a scholar working on Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 209 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (2 papers), Bioinformatics and Genomic Networks (2 papers), Medical Image Segmentation Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper), Computational Drug Discovery Methods (1 paper), Genetic Associations and Epidemiology (1 paper) and Image and Object Detection Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (42 citations), Artificial Intelligence (61 citations), Statistical and Nonlinear Physics (22 citations), Molecular Biology (114 citations) and Biophysics (9 citations). Leslie O’Bray has collaborated with scholars based in Switzerland, Estonia and Belgium. Frequent co-authors include Karsten Borgwardt, Giulia Muzio, Bastian Rieck, Felipe Llinares-López, Krista Fischer, Laetitia Meng-Papaxanthos and Edward De Brouwer. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, arXiv (Cornell University) and Repository for Publications and Research Data (ETH Zurich).
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.