Michel Carbon

408 total citations
14 papers, 292 citations indexed

About

Michel Carbon is a scholar working on Statistics and Probability, Finance and Environmental Engineering. According to data from OpenAlex, Michel Carbon has authored 14 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 6 papers in Finance and 6 papers in Environmental Engineering. Recurrent topics in Michel Carbon's work include Statistical Methods and Inference (7 papers), Financial Risk and Volatility Modeling (6 papers) and Soil Geostatistics and Mapping (6 papers). Michel Carbon is often cited by papers focused on Statistical Methods and Inference (7 papers), Financial Risk and Volatility Modeling (6 papers) and Soil Geostatistics and Mapping (6 papers). Michel Carbon collaborates with scholars based in France, United States and Canada. Michel Carbon's co-authors include Lanh Tat Tran, Christian Francq, Berlin Wu, Marc Hallin, Philippe De Wals, Moussa Ouakki, Geneviève Deceuninck, Michel Delecroix, Bernard Garel and Thierry Duchesne and has published in prestigious journals such as The Pediatric Infectious Disease Journal, Computational Statistics & Data Analysis and Journal of Statistical Planning and Inference.

In The Last Decade

Michel Carbon

12 papers receiving 273 citations

Peers

Michel Carbon

SP

EE

AI

FINAN

Luis E. Nieto‐Barajas Mexico

Thaís C. O. Fonseca Brazil

Daniel Hlubinka Czechia

Maria Kalli United Kingdom

Sílvia R. C. Lopes Brazil

Qin Shao United States

René Ferland Canada

Celso Rômulo Barbosa Cabral Brazil

Sani Ibrahim Doguwa Nigeria

Walter Racugno Italy

Luis E. Nieto‐Barajas Mexico

Michel Carbon

186 ×1.1

SP

14 ×0.2

EE

38 ×0.5

EE

161 ×2.4

AI

32 ×0.6

FINAN

Citations per year, relative to Michel Carbon Michel Carbon (= 1×) peers Luis E. Nieto‐Barajas

Countries citing papers authored by Michel Carbon

Since Specialization

Citations

This map shows the geographic impact of Michel Carbon'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 Michel Carbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Carbon more than expected).

Fields of papers citing papers by Michel Carbon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel Carbon. 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 Michel Carbon. The network helps show where Michel Carbon may publish in the future.

Co-authorship network of co-authors of Michel Carbon

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

All Works

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14 of 14 papers shown

1.

Carbon, Michel & Thierry Duchesne. (2023). Multivariate frequency polygon for stationary random fields. Annals of the Institute of Statistical Mathematics. 76(2). 263–287.

2.

Carbon, Michel. (2014). Histograms for stationary linear random fields. Statistical Inference for Stochastic Processes. 17(3). 245–266. 2 indexed citations

3.

Carbon, Michel, et al.. (2011). Computing and estimating information matrices of weak ARMA models. Computational Statistics & Data Analysis. 56(2). 345–361. 15 indexed citations

4.

Wals, Philippe De, et al.. (2009). Reduced Physician Claims for Otitis Media After Implementation of Pneumococcal Conjugate Vaccine Program in the Province of Quebec, Canada. The Pediatric Infectious Disease Journal. 28(9). e271–e275. 54 indexed citations

5.

Carbon, Michel, Christian Francq, & Lanh Tat Tran. (2009). Asymptotic normality of frequency polygons for random fields. Journal of Statistical Planning and Inference. 140(2). 502–514. 19 indexed citations

6.

Carbon, Michel. (2008). Polygone des fréquences pour des champs aléatoires. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

7.

Carbon, Michel. (2006). Polygone des fréquences pour des champs aléatoires⁎⁎À la mémoire de Jean et Alain Gautier.. Comptes Rendus Mathématique. 342(9). 693–696. 7 indexed citations

8.

Carbon, Michel, Christian Francq, & Lanh Tat Tran. (2006). Kernel regression estimation for random fields. Journal of Statistical Planning and Inference. 137(3). 778–798. 39 indexed citations

9.

Carbon, Michel, Bernard Garel, & Lanh Tat Tran. (1997). Frequency polygons for weakly dependent processes. Statistics & Probability Letters. 33(1). 1–13. 23 indexed citations

10.

Carbon, Michel, Lanh Tat Tran, & Berlin Wu. (1997). Kernel density estimation for random fields (density estimation for random fields). Statistics & Probability Letters. 36(2). 115–125. 64 indexed citations

11.

Carbon, Michel & Lanh Tat Tran. (1996). On histograms for linear processes. Journal of Statistical Planning and Inference. 53(3). 403–419. 3 indexed citations

12.

Carbon, Michel, Marc Hallin, & Lanh Tat Tran. (1996). Kernel density estimation for random fields: TheL₁Theory. Journal of nonparametric statistics. 6(2-3). 157–170. 48 indexed citations

13.

Carbon, Michel, et al.. (1995). Estimation non paramétrique de la densité et de la régression - Prévision non paramétrique.. 15(15). 1–25. 1 indexed citations

14.

Carbon, Michel & Michel Delecroix. (1993). Non‐parametric vs parametric forecasting in time series: A computational point of view. Applied Stochastic Models and Data Analysis. 9(3). 215–229. 16 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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