James Ledoux

3.1k total citations · 1 hit paper
51 papers, 980 citations indexed

About

James Ledoux is a scholar working on Statistics and Probability, Mathematical Physics and Software. According to data from OpenAlex, James Ledoux has authored 51 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 13 papers in Mathematical Physics and 9 papers in Software. Recurrent topics in James Ledoux's work include Markov Chains and Monte Carlo Methods (17 papers), Software Reliability and Analysis Research (9 papers) and Stochastic processes and statistical mechanics (9 papers). James Ledoux is often cited by papers focused on Markov Chains and Monte Carlo Methods (17 papers), Software Reliability and Analysis Research (9 papers) and Stochastic processes and statistical mechanics (9 papers). James Ledoux collaborates with scholars based in France, United States and Australia. James Ledoux's co-authors include Jing Liu, Tian Liu, Ildar Khalidov, Yi Wang, Ludovic de Rochefort, Pascal Spincemaille, Martin R. Prince, Weiwei Chen, Cynthia Wisnieff and Apostolos John Tsiouris and has published in prestigious journals such as NeuroImage, Inorganic Chemistry and Magnetic Resonance in Medicine.

In The Last Decade

James Ledoux

47 papers receiving 957 citations

Hit Papers

Morphology enabled dipole inversion for quantitative susc... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Ledoux France 11 557 117 105 92 81 51 980
Wolfgang Renz Germany 21 985 1.8× 24 0.2× 264 2.5× 47 0.5× 418 5.2× 89 1.8k
W.M.M.J. Bovée Netherlands 22 786 1.4× 44 0.4× 181 1.7× 31 0.3× 228 2.8× 69 1.7k
Sungeun Kim United States 25 78 0.1× 130 1.1× 152 1.4× 16 0.2× 134 1.7× 89 2.3k
Peter Morris United Kingdom 11 191 0.3× 53 0.5× 46 0.4× 13 0.1× 35 0.4× 14 670
Peter Schmitt Germany 25 1.4k 2.5× 70 0.6× 228 2.2× 135 1.5× 398 4.9× 83 2.8k
Robert T. Thompson Canada 22 525 0.9× 34 0.3× 77 0.7× 22 0.2× 202 2.5× 79 1.5k
J.G. Rogers Canada 21 1.0k 1.8× 91 0.8× 39 0.4× 87 0.9× 344 4.2× 84 1.7k
Congbo Cai China 20 969 1.7× 59 0.5× 187 1.8× 20 0.2× 158 2.0× 103 1.3k
Fan Lam United States 22 1.3k 2.3× 43 0.4× 64 0.6× 11 0.1× 217 2.7× 64 1.6k
David Clayton United States 15 428 0.8× 45 0.4× 34 0.3× 57 0.6× 68 0.8× 40 978

Countries citing papers authored by James Ledoux

Since Specialization
Citations

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

Fields of papers citing papers by James Ledoux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Ledoux

This figure shows the co-authorship network connecting the top 25 collaborators of James Ledoux. A scholar is included among the top collaborators of James Ledoux 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 James Ledoux. James Ledoux 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.
Hervé, Loı̈c & James Ledoux. (2025). Computable bounds for solutions to Poisson’s equation and perturbation of Markov kernels. Bernoulli. 31(3).
2.
Hervé, Loı̈c & James Ledoux. (2023). Rate of convergence of Nummelin-type representation of the invariant distribution of a Markov chain via the residual kernel. Electronic Communications in Probability. 28(none). 1 indexed citations
3.
Hervé, Loı̈c & James Ledoux. (2013). Approximating Markov chains andV-geometric ergodicity via weak perturbation theory. Stochastic Processes and their Applications. 124(1). 613–638. 16 indexed citations
4.
Liu, Jing, Tian Liu, Ludovic de Rochefort, et al.. (2011). Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map. NeuroImage. 59(3). 2560–2568. 382 indexed citations breakdown →
5.
Liu, Tian, Jing Liu, Ludovic de Rochefort, et al.. (2011). Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging. Magnetic Resonance in Medicine. 66(3). 777–783. 287 indexed citations
6.
Ledoux, James. (2008). Strong convergence of a class of non-homogeneous Markov arrival processes to a Poisson process. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
7.
Ledoux, James. (2007). Filtering and the EM-Algorithm for the Markovian Arrival Process. Communication in Statistics- Theory and Methods. 36(14). 2577–2593. 2 indexed citations
8.
Gurvits, Leonid & James Ledoux. (2005). Markov property for a function of a Markov chain: A linear algebra approach. Linear Algebra and its Applications. 404. 85–117. 4 indexed citations
9.
Ledoux, James. (2005). Recursive filters for partially observable finite Markov chains. Journal of Applied Probability. 42(3). 684–697. 3 indexed citations
10.
Ledoux, James. (2005). Recursive filters for partially observable finite Markov chains. Journal of Applied Probability. 42(3). 684–697. 1 indexed citations
11.
McConnell, M., et al.. (2004). Dedicated polarimeter design for hard x-ray and soft gamma-ray astronomy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5165. 334–334. 11 indexed citations
12.
Ledoux, James. (2004). Linear dynamics for the state vector of Markov chain functions. Advances in Applied Probability. 36(4). 1198–1211. 2 indexed citations
13.
Ledoux, James, et al.. (2001). Markovian bounds on functions of finite Markov chains. Advances in Applied Probability. 33(2). 505–519. 2 indexed citations
14.
Ledoux, James & Gerardo Rubino. (1997). A Counting Model For Software Reliability Analysis. International Journal of Modelling and Simulation. 17(4). 289–297. 10 indexed citations
15.
Ledoux, James & Gerardo Rubino. (1997). Simple formulae for counting processes in reliability models. Advances in Applied Probability. 29(4). 1018–1038. 6 indexed citations
16.
Ledoux, James & Gerardo Rubino. (1997). Simple formulae for counting processes in reliability models. Advances in Applied Probability. 29(4). 1018–1038. 2 indexed citations
17.
O'Loughlin, J, et al.. (1996). La Commande du Coeur (“Shop for Your Heart”): A Point-of-Choice Nutrition Education Campaign in a Low-Income Urban Neighborhood. American Journal of Health Promotion. 10(3). 175–178. 11 indexed citations
18.
Ledoux, James. (1996). Weak Lumpability of Finite Markov Chains and Positive Invariance of Cones. OpenGrey (Institut de l'Information Scientifique et Technique). 4 indexed citations
19.
Ledoux, James, Gerardo Rubino, & Bruno Séricola. (1994). Exact aggregation of absorbing Markov processes using the quasi-stationary distribution. Journal of Applied Probability. 31(3). 626–634. 2 indexed citations
20.
Ledoux, James, Gerardo Rubino, & Bruno Séricola. (1994). Exact aggregation of absorbing Markov processes using the quasi-stationary distribution. Journal of Applied Probability. 31(3). 626–634. 10 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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