D. Rousseau
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies 10
- Particle Detector Development and Performance 10
- High-Energy Particle Collisions Research 3
- Artificial Intelligence top 10%
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 3
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- Plant Pathogens and Fungal Diseases 3
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- Nail Diseases and Treatments 2
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- Pediatric Hepatobiliary Diseases and Treatments 2
- Co-authors
- A. AurisanoAlexander RadovicM. KaganA. HimmelM. WilliamsT. WongjiradK. TeraoFrançois Chapeau‐Blondeau
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (5 papers)Journal of Clinical Microbiology (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
D. Rousseau
28 papers receiving 519 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Nuclear and High Energy Physics 154
- Statistical and Nonlinear Physics 57
- Geophysics 58
- Statistics, Probability and Uncertainty 26
- Artificial Intelligence 103
Countries citing papers authored by D. Rousseau
This map shows the geographic impact of D. Rousseau'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 D. Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Rousseau more than expected).
Fields of papers citing papers by D. Rousseau
This network shows the impact of papers produced by D. Rousseau. 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 D. Rousseau. The network helps show where D. Rousseau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Rousseau, 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 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2021 | 14 | |
| 4 | 2019 | 3 | |
| 5 | 2019 | 4 | |
| 6 | Machine learning at the energy and intensity frontiers of particle physicsbreakdown → | 2018 | 253 |
| 7 | 2015 | 4 | |
| 8 | 2015 | 51 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 10 | |
| 11 | 2012 | 2 | |
| 12 | 2012 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2007 | 4 | |
| 15 | 2006 | 10 | |
| 16 | 2004 | 20 | |
| 17 | 2000 | 23 | |
| 18 | [Rupture of the gallbladder in closed injuries of the abdomen]. | 1983 | 1 |
| 19 | 1982 | 3 | |
| 20 | [A new case of volvulus of the gallbladder ]. | 1982 | 1 |
About D. Rousseau
D. Rousseau is a scholar working on Archeology, Nuclear and High Energy Physics and Endocrinology, having authored 34 papers that have together received 541 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (10 papers), Distributed and Parallel Computing Systems (6 papers), High-Energy Particle Collisions Research (3 papers), Advanced Data Storage Technologies (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Nail Diseases and Treatments (2 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (154 citations), Statistical and Nonlinear Physics (57 citations) and Geophysics (58 citations). D. Rousseau has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include A. Aurisano, Alexander Radovic, M. Kagan, A. Himmel, M. Williams, T. Wongjirad, K. Terao, François Chapeau‐Blondeau, Cécile Germain‐Renaud and G. Cowan. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Journal of Clinical Microbiology.
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.