David Robert
Impact in
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- Computational Drug Discovery Methods
- Geometry and Topology top 2%
- Graph theory and applications
Papers in
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- Computational Drug Discovery Methods 19
-
- Graph theory and applications 7
- Co-authors
- Ramon Carbó‐Dorca (22 shared papers)Lluı́s Amat (9 shared papers)Xavier Gironés (12 shared papers)Emili Besalú (7 shared papers)Ana Gallegos (1 shared paper)
- Journals
- Journal of Computer-Aided Molecular Design (3 papers)Journal of Computational Chemistry (2 papers)International Journal of Quantum Chemistry (2 papers)Polycyclic aromatic compounds (1 paper)SAR and QSAR in environmental research (1 paper)
- Partner nations
- Spain
In The Last Decade
David Robert
22 papers receiving 608 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 377
- Geometry and Topology 178
- Atomic and Molecular Physics, and Optics 289
- Physical and Theoretical Chemistry 48
- Statistical and Nonlinear Physics 13
Countries citing papers authored by David Robert
This map shows the geographic impact of David Robert'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 David Robert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Robert more than expected).
Fields of papers citing papers by David Robert
This network shows the impact of papers produced by David Robert. 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 David Robert. The network helps show where David Robert may publish in the future.
Co-authors
The 5 scholars most cited alongside David Robert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 85 | |
| 2 | 2000 | 72 | |
| 3 | 2000 | 68 | |
| 4 | 2000 | 60 | |
| 5 | 1998 | 51 | |
| 6 | 2000 | 35 | |
| 7 | 1999 | 33 | |
| 8 | 1998 | 32 | |
| 9 | 2001 | 30 | |
| 10 | 2001 | 29 | |
| 11 | 2000 | 27 | |
| 12 | 1998 | 24 | |
| 13 | 2000 | 24 | |
| 14 | 1998 | 18 | |
| 15 | 1999 | 18 | |
| 16 | 2000 | 18 | |
| 17 | 1998 | 10 | |
| 18 | 2001 | 6 | |
| 19 | 2000 | 1 | |
| 20 | 2000 | 1 |
About David Robert
David Robert is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and Health, Toxicology and Mutagenesis, having authored 22 papers that have together received 644 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Graph theory and applications (7 papers), Advanced Chemical Physics Studies (7 papers), Nuclear physics research studies (2 papers), Astronomical and nuclear sciences (2 papers), Atomic and Molecular Physics (1 paper), Protein Structure and Dynamics (1 paper) and Chemical Reaction Mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (377 citations), Geometry and Topology (178 citations), Atomic and Molecular Physics, and Optics (289 citations), Physical and Theoretical Chemistry (48 citations) and Statistical and Nonlinear Physics (13 citations). David Robert has collaborated with scholars based in Spain. Frequent co-authors include Ramon Carbó‐Dorca, Lluı́s Amat, Xavier Gironés, Emili Besalú and Ana Gallegos. Their work appears in journals such as Journal of Computer-Aided Molecular Design, Journal of Computational Chemistry, International Journal of Quantum Chemistry, Polycyclic aromatic compounds and SAR and QSAR in environmental 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.