Matthieu Garcin
- Finance top 5%
- Financial Risk and Volatility Modeling 10
- Stochastic processes and financial applications 3
- Economics and Econometrics top 10%
- Complex Systems and Time Series Analysis 12
- Market Dynamics and Volatility 6
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- Heart Rate Variability and Autonomic Control 5
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- Non-Invasive Vital Sign Monitoring 4
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- Neonatal and fetal brain pathology 3
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- Statistical and numerical algorithms 2
- Co-authors
- Dominique GuéganP. David AdelsonChandan KarmakarJohn YearwoodMartino GrasselliF. Jason TorreMaarten van HeldenThierry Dutoit
- Journals
- Physica A Statistical Mechanics and its Applications (2 papers)Physica D Nonlinear Phenomena (2 papers)Chaos Solitons & Fractals (2 papers)
- Partner nations
- FranceCroatiaUnited States
In The Last Decade
Matthieu Garcin
21 papers receiving 241 citations
Peers
Comparison fields: 5 of 83
- Finance 94
- Economics and Econometrics 120
- Management Science and Operations Research 28
- Statistical and Nonlinear Physics 23
- Physical Therapy, Sports Therapy and Rehabilitation 7
Countries citing papers authored by Matthieu Garcin
This map shows the geographic impact of Matthieu Garcin'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 Matthieu Garcin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Garcin more than expected).
Fields of papers citing papers by Matthieu Garcin
This network shows the impact of papers produced by Matthieu Garcin. 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 Matthieu Garcin. The network helps show where Matthieu Garcin may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Matthieu Garcin, 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 | 17 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 45 | |
| 16 | 2017 | 41 | |
| 17 | 2016 | 9 | |
| 18 | 2014 | 6 | |
| 19 | Extreme values of random or chaotic discretization steps and connected networks | 2012 | 4 |
| 20 | 2006 | 14 |
About Matthieu Garcin
Matthieu Garcin is a scholar working on Finance, Economics and Econometrics and Applied Mathematics, having authored 22 papers that have together received 250 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (12 papers), Financial Risk and Volatility Modeling (10 papers), Market Dynamics and Volatility (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Neonatal and fetal brain pathology (3 papers), Stochastic processes and financial applications (3 papers) and Statistical and numerical algorithms (2 papers). The work is most often cited by research in Finance (94 citations), Economics and Econometrics (120 citations) and Management Science and Operations Research (28 citations). Matthieu Garcin has collaborated with scholars based in France, Croatia and United States. Frequent co-authors include Dominique Guégan, P. David Adelson, Chandan Karmakar, John Yearwood, Martino Grasselli, F. Jason Torre, Maarten van Helden, Thierry Dutoit, Élise Buisson and Serge Kreiter. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physica D Nonlinear Phenomena, Chaos Solitons & Fractals, Quantitative Finance and Decisions in Economics and Finance.
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.