D. Rousseau

19.5k total citations · 1 hit paper
34 papers, 541 citations indexed

About

D. Rousseau is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Surgery. According to data from OpenAlex, D. Rousseau has authored 34 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 4 papers in Surgery. Recurrent topics in D. Rousseau's work include Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (10 papers) and Distributed and Parallel Computing Systems (6 papers). D. Rousseau is often cited by papers focused on Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (10 papers) and Distributed and Parallel Computing Systems (6 papers). D. Rousseau collaborates with scholars based in France, United States and Switzerland. D. Rousseau's 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 and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Clinical Microbiology.

In The Last Decade

D. Rousseau

28 papers receiving 519 citations

Hit Papers

Machine learning at the energy and intensity frontiers of... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning at the energy and intensity frontiers of particle physics
    2018 253 citations Alexander Radovic, M. Williams et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Rousseau France 9 154 103 58 57 41 34 541
Fei Lu China 16 87 0.6× 121 1.2× 17 0.3× 189 3.3× 47 1.1× 62 872
Chris Loken United States 14 202 1.3× 26 0.3× 21 0.4× 50 0.9× 52 1.3× 18 1.1k
Kevin Brown United States 17 195 1.3× 130 1.3× 25 0.4× 9 0.2× 198 4.8× 124 937
Siegmund Brandt Germany 9 61 0.4× 61 0.6× 27 0.5× 63 1.1× 64 1.6× 25 650
David Halliday United States 10 71 0.5× 29 0.3× 16 0.3× 67 1.2× 96 2.3× 33 598
L. Groer United States 2 33 0.2× 25 0.2× 21 0.4× 16 0.3× 49 1.2× 3 383
G. Cowan United Kingdom 5 176 1.1× 52 0.5× 14 0.2× 26 0.5× 26 0.6× 12 541
Pierre Gravel Canada 14 81 0.5× 32 0.3× 9 0.2× 55 1.0× 17 0.4× 49 835
N. S. Knecht Canada 1 32 0.2× 25 0.2× 21 0.4× 15 0.3× 49 1.2× 2 378
S. Brandt Germany 13 567 3.7× 49 0.5× 19 0.3× 44 0.8× 52 1.3× 29 989

Countries citing papers authored by D. Rousseau

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of D. Rousseau

This figure shows the co-authorship network connecting the top 25 collaborators of D. Rousseau. A scholar is included among the top collaborators of D. Rousseau 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 D. Rousseau. D. Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duchêne, Éric, et al.. (2024). Phenotyping grapevine resistance to downy mildew: deep learning as a promising tool to assess sporulation and necrosis. Plant Methods. 20(1). 90–90. 1 indexed citations
2.
Rousseau, D., et al.. (2023). GenoDrawing: An Autoencoder Framework for Image Prediction from SNP Markers. Plant Phenomics. 5. 113–113. 6 indexed citations
3.
ElMasry, Gamal, N. S. Mandour, Didier Demilly, et al.. (2021). Multichannel imaging for monitoring chemical composition and germination capacity of cowpea (Vigna unguiculata) seeds during development and maturation. The Crop Journal. 10(5). 1399–1411. 14 indexed citations
4.
Germain, Cécile, et al.. (2019). Systematic aware learning. SHILAP Revista de lepidopterología. 214. 6024–6024. 3 indexed citations
5.
Kiehn, M., P. Calafiura, Steven Farrell, et al.. (2019). The TrackML high-energy physics tracking challenge on Kaggle. SHILAP Revista de lepidopterología. 214. 6037–6037. 4 indexed citations
6.
Radovic, Alexander, M. Williams, D. Rousseau, et al.. (2018). Machine learning at the energy and intensity frontiers of particle physics. Nature. 560(7716). 41–48. 253 indexed citations breakdown →
7.
Tanguy, M., et al.. (2015). Parcours et devenir de 128 enfants admis avant l’âge de quatre ans en pouponnière sociale. Archives de Pédiatrie. 22(11). 1129–1139. 4 indexed citations
8.
Adam, Carole, G. Cowan, Cécile Germain‐Renaud, et al.. (2015). The Higgs Machine Learning Challenge. Journal of Physics Conference Series. 664(7). 72015–72015. 51 indexed citations
9.
Rousseau, D., Olivier Capitain, Fabrice Denis, et al.. (2012). Évolution des cancers de l’œsophage : impact de la stratégie thérapeutique. Cancer/Radiothérapie. 17(1). 10–20. 2 indexed citations
10.
Rousseau, D.. (2012). The Software behind the Higgs Boson Discovery. IEEE Software. 29(5). 11–15. 10 indexed citations
11.
Rousseau, D., et al.. (2012). Monitoring of computing resource utilization of the ATLAS experiment. Journal of Physics Conference Series. 396(3). 32112–32112. 2 indexed citations
12.
Rousseau, D., D. Autret, M.-A. Mahé, et al.. (2012). La radiothérapie avec modulation d’intensité rotationnelle apporte-t-elle un avantage dosimétrique dans le traitement du cancer bronchique localement évolué ?. Cancer/Radiothérapie. 16(7). 619–626. 8 indexed citations
13.
Poisson, D.M., Nathalie Jourdan‐Da Silva, D. Rousseau, & É. Estève. (2007). Tinea corporis gladiatorum: Specificity and epidemiology. Journal de Mycologie Médicale. 17(3). 177–182. 6 indexed citations
14.
15.
Estève, É., et al.. (2006). Épidémie de trichophyties cutanées chez les judokas du pôle France d’Orléans : septembre 2004-juin 2005. Annales de Dermatologie et de Vénéréologie. 133(6-7). 525–529. 10 indexed citations
16.
Rousseau, D., et al.. (2004). Neuf saisons de surveillance médicale de compétitions de judo. Journal de Traumatologie du Sport. 21(2). 100–109. 20 indexed citations
17.
18.
Grousseau, D, et al.. (1983). [Rupture of the gallbladder in closed injuries of the abdomen].. PubMed. 59(19). 1465–7. 1 indexed citations
19.
Viso, Michel, et al.. (1982). Incidence of antibodies to Legionella species in French cattle. Veterinary Record. 111(20). 463–463. 3 indexed citations
20.
Descottes, B, et al.. (1982). [A new case of volvulus of the gallbladder ].. PubMed. 36(6). 430–2. 1 indexed citations

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.

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