Marc Bianciotto
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Organic Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Alain VigrouxJean‐Claude BarthelatMaxime LangevinFrancesco Luigi GervasioHervé MinouxDaria B. KokhRebecca C. WadeMatthias Dreyer
- Topics
- Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (8 papers)Machine Learning in Materials Science (5 papers)
In The Last Decade
Marc Bianciotto
15 papers receiving 455 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 351
- Computational Theory and Mathematics 194
- Materials Chemistry 110
- Organic Chemistry 72
- Atomic and Molecular Physics, and Optics 34
Countries citing papers authored by Marc Bianciotto
This map shows the geographic impact of Marc Bianciotto'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 Marc Bianciotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Bianciotto more than expected).
Fields of papers citing papers by Marc Bianciotto
This network shows the impact of papers produced by Marc Bianciotto. 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 Marc Bianciotto. The network helps show where Marc Bianciotto may publish in the future.
Co-authorship network of co-authors of Marc Bianciotto
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Bianciotto. A scholar is included among the top collaborators of Marc Bianciotto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Bianciotto. Marc Bianciotto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 4 | |
| 9 | 46 | |
| 10 | 183 | |
| 11 | 8 | |
| 12 | 38 | |
| 13 | 29 | |
| 14 | 45 | |
| 15 | 21 | |
| 16 | 38 |
About Marc Bianciotto
Marc Bianciotto is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Biophysics, having authored 16 papers that have together received 468 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers) and Machine Learning in Materials Science (5 papers). The work is most often cited by research in Computational Theory and Mathematics (194 citations), Molecular Biology (351 citations) and Organic Chemistry (72 citations). Marc Bianciotto has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Alain Vigroux, Jean‐Claude Barthelat, Maxime Langevin, Francesco Luigi Gervasio, Hervé Minoux, Daria B. Kokh, Rebecca C. Wade, Matthias Dreyer, Alexey Rak and Djordje Müsil. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.