Gérard Martinez
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
- Materials Chemistry top 5%
- Graphene research and applications
- Machine Learning in Materials Science
- Carbon Nanotubes in Composites
Papers in
-
- Graphene research and applications 4
- Enzyme Structure and Function 3
- Machine Learning in Materials Science 3
- Diamond and Carbon-based Materials Research 2
-
- Protein Structure and Dynamics 7
- Co-authors
- Gianni De Fabritiis (13 shared papers)José Jiménez-Luna (6 shared papers)Miha Škalič (3 shared papers)Stefan Doerr (2 shared papers)Alexander Rose (1 shared paper)Toni Giorgino (3 shared papers)M. Potemski (3 shared papers)Joanna Hass (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Bioinformatics (3 papers)Scientific Reports (1 paper)Physica B Condensed Matter (1 paper)ACS Nano (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Gérard Martinez
20 papers receiving 2.5k citations
Gérard Martinez's Hit Papers
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 920
- Materials Chemistry 1.1k
- Molecular Biology 1.2k
- Pharmacology 133
- Biophysics 46
Countries citing papers authored by Gérard Martinez
This map shows the geographic impact of Gérard Martinez'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 Gérard Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Martinez more than expected).
Fields of papers citing papers by Gérard Martinez
This network shows the impact of papers produced by Gérard Martinez. 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 Gérard Martinez. The network helps show where Gérard Martinez may publish in the future.
Co-authors
The 25 scholars most cited alongside Gérard Martinez, 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 | Epitaxial graphene Hit paper breakdown → | 2007 | 703 |
| 2 | KDEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks Hit paper breakdown → | 2018 | 663 |
| 3 | DeepSite: protein-binding site predictor using 3D-convolutional neural networks Hit paper breakdown → | 2017 | 527 |
| 4 | 2017 | 236 | |
| 5 | 2019 | 49 | |
| 6 | 2018 | 46 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 39 | |
| 9 | 2018 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 1995 | 28 | |
| 12 | 2022 | 27 | |
| 13 | 2018 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2020 | 25 | |
| 16 | 2018 | 18 | |
| 17 | 2007 | 4 | |
| 18 | 2015 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 1993 | 1 |
About Gérard Martinez
Gérard Martinez is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Organic Chemistry, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (7 papers), Graphene research and applications (4 papers), Quantum and electron transport phenomena (4 papers), Enzyme Structure and Function (3 papers), Machine Learning in Materials Science (3 papers), Topological Materials and Phenomena (2 papers) and Diamond and Carbon-based Materials Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (920 citations), Materials Chemistry (1.1k citations), Molecular Biology (1.2k citations), Pharmacology (133 citations) and Biophysics (46 citations). Gérard Martinez has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Gianni De Fabritiis, José Jiménez-Luna, Miha Škalič, Stefan Doerr, Alexander Rose, Toni Giorgino, M. Potemski, Joanna Hass, Xuebin Li and Claire Berger. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Scientific Reports, Physica B Condensed Matter and ACS Nano.
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.