Eric Vernier
Impact in
- Computational Mathematics top 10%
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- Opinion Dynamics and Social Influence
Papers in
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- Quantum many-body systems 11
- Quantum and electron transport phenomena 2
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- Algebraic structures and combinatorial models 5
- Co-authors
- Lorenzo Piroli (8 shared papers)Balázs Pozsgay (6 shared papers)Pasquale Calabrese (4 shared papers)Miklós Antal Werner (1 shared paper)Marcos Rigol (1 shared paper)Mario Collura (1 shared paper)Marius de Leeuw (1 shared paper)
- Journals
- Physical review. B. (3 papers)Nuclear Physics B (2 papers)SciPost Physics (1 paper)Journal of Statistical Mechanics Theory and Experiment (3 papers)arXiv (Cornell University) (1 paper)
In The Last Decade
Eric Vernier
11 papers receiving 385 citations
Peers
Comparison fields: 5 of 16
- Computational Mathematics 17
- Statistical and Nonlinear Physics 148
- Atomic and Molecular Physics, and Optics 359
- Condensed Matter Physics 111
- Geometry and Topology 70
Countries citing papers authored by Eric Vernier
This map shows the geographic impact of Eric Vernier'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 Eric Vernier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Vernier more than expected).
Fields of papers citing papers by Eric Vernier
This network shows the impact of papers produced by Eric Vernier. 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 Eric Vernier. The network helps show where Eric Vernier may publish in the future.
Co-authors
The 7 scholars most cited alongside Eric Vernier, 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 | 2017 | 98 | |
| 2 | 2016 | 57 | |
| 3 | 2017 | 50 | |
| 4 | 2018 | 41 | |
| 5 | 2017 | 35 | |
| 6 | 2017 | 34 | |
| 7 | 2020 | 24 | |
| 8 | 2016 | 24 | |
| 9 | 2022 | 20 | |
| 10 | 2024 | 5 | |
| 11 | Integrable quenches in nested spin chains II: the Quantum Transfer Matrix approach | 2018 | 3 |
About Eric Vernier
Eric Vernier is a scholar working on Atomic and Molecular Physics, and Optics, Geometry and Topology, Statistical and Nonlinear Physics, Condensed Matter Physics and Artificial Intelligence, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Quantum many-body systems (11 papers), Algebraic structures and combinatorial models (5 papers), Quantum and electron transport phenomena (2 papers), Physics of Superconductivity and Magnetism (2 papers), Opinion Dynamics and Social Influence (2 papers), Model Reduction and Neural Networks (2 papers), Black Holes and Theoretical Physics (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Computational Mathematics (17 citations), Statistical and Nonlinear Physics (148 citations), Atomic and Molecular Physics, and Optics (359 citations), Condensed Matter Physics (111 citations) and Geometry and Topology (70 citations). Eric Vernier has collaborated with scholars based in Italy, Hungary and France. Frequent co-authors include Lorenzo Piroli, Balázs Pozsgay, Pasquale Calabrese, Miklós Antal Werner, Marcos Rigol, Mario Collura and Marius de Leeuw. Their work appears in journals such as Physical review. B., Nuclear Physics B, SciPost Physics, Journal of Statistical Mechanics Theory and Experiment 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.