David Rousseau
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Statistics, Probability and Uncertainty top 10%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- François Chapeau‐BlondeauAymeric HistaceIsabelle GuyonG. CowanCécile GermainBalázs KéglLester Mackey
- Topics
- stochastic dynamics and bifurcation (4 papers)Probabilistic and Robust Engineering Design (2 papers)Advanced Thermodynamics and Statistical Mechanics (1 paper)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputer Networks and Communications
- Journals
- IEEE Transactions on Signal ProcessingElectronics LettersIEEE Transactions on Instrumentation and Measurement
- Partner nations
- France
In The Last Decade
David Rousseau
5 papers receiving 108 citations
Peers
Comparison fields: 5 of 29
- Statistical and Nonlinear Physics 81
- Computer Networks and Communications 42
- Statistics, Probability and Uncertainty 32
- Artificial Intelligence 27
- Molecular Biology 25
Countries citing papers authored by David Rousseau
This map shows the geographic impact of David 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 David Rousseau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rousseau more than expected).
Fields of papers citing papers by David Rousseau
This network shows the impact of papers produced by David 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 David Rousseau. The network helps show where David Rousseau may publish in the future.
Co-authorship network of co-authors of David Rousseau
This figure shows the co-authorship network connecting the top 25 collaborators of David Rousseau. A scholar is included among the top collaborators of David 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 David Rousseau. David Rousseau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Weighted Classication Cascades for Optimizing Discovery Signicance in the HiggsML Challenge | 0 |
| 2 | Proceedings of the 2014 International Conference on High-Energy Physics and Machine Learning - Volume 42 | 4 |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 66 |
About David Rousseau
David Rousseau is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Nuclear and High Energy Physics, having authored 6 papers that have together received 114 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (4 papers), Probabilistic and Robust Engineering Design (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (81 citations), Statistics, Probability and Uncertainty (32 citations) and Computer Networks and Communications (42 citations). David Rousseau has collaborated with scholars based in France. Frequent co-authors include François Chapeau‐Blondeau, Aymeric Histace, Isabelle Guyon, G. Cowan, Cécile Germain, Balázs Kégl and Lester Mackey. Their work appears in journals such as IEEE Transactions on Signal Processing, Electronics Letters and IEEE Transactions on Instrumentation and Measurement.
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.