Martin Simonovsky
Impact in
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- Computational Drug Discovery Methods
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- Microbial Natural Products and Biosynthesis
Papers in
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- Machine Learning in Bioinformatics 1
- Protein Structure and Dynamics 1
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- Advanced Image and Video Retrieval Techniques 1
- Human Pose and Action Recognition 1
- Co-authors
- Joshua Meyers (1 shared paper)Alex S. Huang (1 shared paper)Xiaobin Xie (1 shared paper)Loïc Landrieu (1 shared paper)Nikos Komodakis (1 shared paper)Bruce Burkemper (1 shared paper)Anmol A. Pardeshi (1 shared paper)Michael Chiang (1 shared paper)
- Journals
- British Journal of Ophthalmology (1 paper)Journal of Chemical Information and Modeling (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Martin Simonovsky
4 papers receiving 58 citations
Peers
Comparison fields: 5 of 26
- Computational Theory and Mathematics 38
- Pharmacology 10
- Molecular Biology 40
- Ophthalmology 5
- Materials Chemistry 16
Countries citing papers authored by Martin Simonovsky
This map shows the geographic impact of Martin Simonovsky'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 Martin Simonovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Simonovsky more than expected).
Fields of papers citing papers by Martin Simonovsky
This network shows the impact of papers produced by Martin Simonovsky. 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 Martin Simonovsky. The network helps show where Martin Simonovsky may publish in the future.
Co-authors
The 9 scholars most cited alongside Martin Simonovsky, 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 | 51 | |
| 2 | 2023 | 6 | |
| 3 | OnionNet: Sharing Features in Cascaded Deep Classifiers | 2016 | 1 |
| 4 | Segmentation Sémantique à Grande Echelle par Graphe de Superpoints | 2018 | 1 |
About Martin Simonovsky
Martin Simonovsky is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Ophthalmology, Computational Mechanics and Computational Theory and Mathematics, having authored 4 papers that have together received 59 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (1 paper), Machine Learning in Bioinformatics (1 paper), Retinal Diseases and Treatments (1 paper), Glaucoma and retinal disorders (1 paper), 3D Shape Modeling and Analysis (1 paper), Computational Drug Discovery Methods (1 paper), Protein Structure and Dynamics (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computational Theory and Mathematics (38 citations), Pharmacology (10 citations), Molecular Biology (40 citations), Ophthalmology (5 citations) and Materials Chemistry (16 citations). Martin Simonovsky has collaborated with scholars based in France, China and United States. Frequent co-authors include Joshua Meyers, Alex S. Huang, Xiaobin Xie, Loïc Landrieu, Nikos Komodakis, Bruce Burkemper, Anmol A. Pardeshi, Michael Chiang and Benjamin Y. Xu. Their work appears in journals such as British Journal of Ophthalmology, Journal of Chemical Information and Modeling, SPIRE - Sciences Po Institutional REpository 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.