Stéphanie Valleau
- Atomic and Molecular Physics, and Optics top 5%
- Molecular Biology
- Materials Chemistry
- Physical and Theoretical Chemistry top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Alán Aspuru‐GuzikSemion K. SaikinPatrick RebentrostAlexander EisfeldAlán Aspuru-GuzikMortaza AghtarUlrich KleinekathöferMichele Ceotto
- Topics
- Spectroscopy and Quantum Chemical Studies (11 papers)Photosynthetic Processes and Mechanisms (6 papers)Machine Learning in Materials Science (3 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsPhysical and Theoretical ChemistryCellular and Molecular Neuroscience
- Partner nations
- United StatesRussiaItaly
In The Last Decade
Stéphanie Valleau
13 papers receiving 571 citations
Peers
Comparison fields: 5 of 57
- Atomic and Molecular Physics, and Optics 423
- Molecular Biology 210
- Materials Chemistry 135
- Physical and Theoretical Chemistry 108
- Cellular and Molecular Neuroscience 97
Countries citing papers authored by Stéphanie Valleau
This map shows the geographic impact of Stéphanie Valleau'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 Stéphanie Valleau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphanie Valleau more than expected).
Fields of papers citing papers by Stéphanie Valleau
This network shows the impact of papers produced by Stéphanie Valleau. 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 Stéphanie Valleau. The network helps show where Stéphanie Valleau may publish in the future.
Co-authorship network of co-authors of Stéphanie Valleau
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphanie Valleau. A scholar is included among the top collaborators of Stéphanie Valleau 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 Stéphanie Valleau. Stéphanie Valleau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 36 | |
| 3 | 38 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 84 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 172 | |
| 12 | 167 | |
| 13 | Microscopic origin of the long-lived quantum coherences in the Fenna-Matthew-Olson complex | 3 |
| 14 | 27 |
About Stéphanie Valleau
Stéphanie Valleau is a scholar working on Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Fluid Flow and Transfer Processes, having authored 14 papers that have together received 579 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (11 papers), Photosynthetic Processes and Mechanisms (6 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (423 citations), Physical and Theoretical Chemistry (108 citations) and Cellular and Molecular Neuroscience (97 citations). Stéphanie Valleau has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Alán Aspuru‐Guzik, Semion K. Saikin, Patrick Rebentrost, Alexander Eisfeld, Alán Aspuru-Guzik, Mortaza Aghtar, Ulrich Kleinekathöfer, Michele Ceotto, Gian Franco Tantardini and Masoud Rostami. Their work appears in journals such as The Journal of Chemical Physics, ACS Nano and Journal of Applied 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.