Florian Simatos
Impact in
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
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- Probabilistic and Robust Engineering Design
Papers in
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- Markov Chains and Monte Carlo Methods 7
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- Stochastic processes and statistical mechanics 12
- Co-authors
- Jérôme Morio (4 shared papers)Amaury Lambert (3 shared papers)Philippe H. Robert (7 shared papers)Vincent Bansaye (1 shared paper)Jérôme Fontane (2 shared papers)Nicolas Gourdain (2 shared papers)Deepika Revankar Manjunath (3 shared papers)Fabrice M. Guillemin (2 shared papers)
- Journals
- Queueing Systems (5 papers)The Annals of Applied Probability (4 papers)ACM SIGMETRICS Performance Evaluation Review (4 papers)Advances in Applied Probability (4 papers)Electronic Journal of Probability (2 papers)
- Partner nations
- FranceNetherlandsUnited States
In The Last Decade
Florian Simatos
37 papers receiving 287 citations
Peers
Comparison fields: 5 of 55
- Mathematical Physics 77
- Statistics, Probability and Uncertainty 41
- Management Information Systems 50
- Statistics and Probability 41
- Finance 39
Countries citing papers authored by Florian Simatos
This map shows the geographic impact of Florian Simatos'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 Florian Simatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Simatos more than expected).
Fields of papers citing papers by Florian Simatos
This network shows the impact of papers produced by Florian Simatos. 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 Florian Simatos. The network helps show where Florian Simatos may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Simatos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 40 | |
| 2 | 2021 | 26 | |
| 3 | 2015 | 25 | |
| 4 | 2013 | 20 | |
| 5 | 2010 | 16 | |
| 6 | 2018 | 14 | |
| 7 | 2008 | 14 | |
| 8 | 2010 | 13 | |
| 9 | 2010 | 13 | |
| 10 | 2013 | 11 | |
| 11 | 2010 | 11 | |
| 12 | 2010 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2014 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2009 | 5 | |
| 20 | 2017 | 5 |
About Florian Simatos
Florian Simatos is a scholar working on Statistics and Probability, Mathematical Physics, Computer Networks and Communications, Management Information Systems and Condensed Matter Physics, having authored 42 papers that have together received 290 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (12 papers), Advanced Wireless Network Optimization (10 papers), Advanced Queuing Theory Analysis (8 papers), Markov Chains and Monte Carlo Methods (7 papers), Wireless Communication Networks Research (5 papers), Theoretical and Computational Physics (5 papers), Peer-to-Peer Network Technologies (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Mathematical Physics (77 citations), Statistics, Probability and Uncertainty (41 citations), Management Information Systems (50 citations), Statistics and Probability (41 citations) and Finance (39 citations). Florian Simatos has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Jérôme Morio, Amaury Lambert, Philippe H. Robert, Vincent Bansaye, Jérôme Fontane, Nicolas Gourdain, Deepika Revankar Manjunath, Fabrice M. Guillemin, Alexandre Proutière and Bert Zwart. Their work appears in journals such as Queueing Systems, The Annals of Applied Probability, ACM SIGMETRICS Performance Evaluation Review, Advances in Applied Probability and Electronic Journal of Probability.
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.