Guillaume Perrin

1.4k total citations
70 papers, 971 citations indexed

About

Guillaume Perrin is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Guillaume Perrin has authored 70 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics, Probability and Uncertainty, 14 papers in Environmental Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Guillaume Perrin's work include Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Railway Engineering and Dynamics (11 papers). Guillaume Perrin is often cited by papers focused on Probabilistic and Robust Engineering Design (16 papers), Advanced Multi-Objective Optimization Algorithms (12 papers) and Railway Engineering and Dynamics (11 papers). Guillaume Perrin collaborates with scholars based in France, United Kingdom and Canada. Guillaume Perrin's co-authors include Christine Fünfschilling, Christian Soize, Xavier Descombes, Denis Duhamel, Josiane Zerubia, O. Acher, Mats Eriksson, François A. Gougeon, Morten Andreas Dahl Larsen and Tomas Brandtberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Journal of Computational Physics.

In The Last Decade

Guillaume Perrin

62 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillaume Perrin France 20 238 213 198 190 116 70 971
Régis Duvigneau France 21 143 0.6× 100 0.5× 145 0.7× 71 0.4× 19 0.2× 65 1.6k
Feng Feng China 26 79 0.3× 103 0.5× 39 0.2× 80 0.4× 35 0.3× 190 2.7k
Jérôme Morio France 20 64 0.3× 173 0.8× 484 2.4× 103 0.5× 24 0.2× 72 1.2k
Antônio José da Silva Neto Brazil 22 304 1.3× 197 0.9× 69 0.3× 106 0.6× 21 0.2× 192 1.6k
Hüseyin Akçay Türkiye 23 285 1.2× 790 3.7× 152 0.8× 66 0.3× 43 0.4× 142 2.2k
Marco Salucci Italy 30 119 0.5× 73 0.3× 26 0.1× 71 0.4× 16 0.1× 169 2.7k
Shangbin Jiao China 19 167 0.7× 80 0.4× 104 0.5× 21 0.1× 23 0.2× 106 1.2k
Bulent Ayhan United States 24 578 2.4× 387 1.8× 27 0.1× 114 0.6× 272 2.3× 84 2.6k
Zhaohui Du China 23 631 2.7× 342 1.6× 76 0.4× 138 0.7× 23 0.2× 121 1.9k
Bo Yu China 21 180 0.8× 394 1.8× 115 0.6× 13 0.1× 12 0.1× 102 1.3k

Countries citing papers authored by Guillaume Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Guillaume Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Perrin

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Perrin. A scholar is included among the top collaborators of Guillaume Perrin 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 Guillaume Perrin. Guillaume Perrin 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.
2.
Nasser, Houssein, et al.. (2024). Incorporating multi-source uncertainties in fast building wall thermal resistance estimation through physics-based and multi-fidelity statistical learning models. Journal of Building Engineering. 98. 111027–111027. 2 indexed citations
3.
Perrin, Guillaume & Christian Soize. (2024). Reconstruction of Random Fields Concentrated on an Unknown Curve using Irregularly Sampled Data. Methodology And Computing In Applied Probability. 26(1). 1 indexed citations
4.
Lebental, Bérengère, et al.. (2024). Optimizing Sensor Calibration in Open Environments: A Bayesian Approach for Non-Specific Multisensory Systems. French digital mathematics library (Numdam). 10. 305–324.
5.
Nouy, Anthony, et al.. (2023). Active Learning of Tree Tensor Networks using Optimal Least Squares. SIAM/ASA Journal on Uncertainty Quantification. 11(3). 848–876. 1 indexed citations
6.
Perrin, Guillaume & Sébastien da Veiga. (2021). CONSTRAINED GAUSSIAN PROCESS REGRESSION: AN ADAPTIVE APPROACH FOR THE ESTIMATION OF HYPERPARAMETERS AND THE VERIFICATION OF CONSTRAINTS WITH HIGH PROBABILITY. HAL (Le Centre pour la Communication Scientifique Directe). 2(2). 55–76.
7.
Perrin, Guillaume, et al.. (2021). Bayesian Approach for Multigamma Radionuclide Quantification Applied on Weakly Attenuating Nuclear Waste Drums. IEEE Transactions on Nuclear Science. 68(9). 2342–2349. 6 indexed citations
8.
Perrin, Guillaume, et al.. (2018). A Deep Reinforcement Learning Approach for Early Classification of Time Series. HAL (Le Centre pour la Communication Scientifique Directe). 2030–2034. 40 indexed citations
9.
Perrin, Guillaume, et al.. (2018). Stochastic approach for radionuclides quantification. SHILAP Revista de lepidopterología. 170. 6002–6002. 5 indexed citations
10.
Perrin, Guillaume, et al.. (2018). Calibration of Johnson’s damage model by a Bayesian approach. SHILAP Revista de lepidopterología. 183. 1037–1037. 1 indexed citations
11.
Perrin, Guillaume, et al.. (2017). A repulsion-based method for the definition and the enrichment of optimized space filling designs in constrained input spaces. French digital mathematics library (Numdam). 1 indexed citations
12.
Perrin, Guillaume, et al.. (2017). Nested polynomial trends for the improvement of Gaussian process-based predictors. Journal of Computational Physics. 346. 389–402. 7 indexed citations
13.
Perrin, Guillaume, Denis Duhamel, Christian Soize, & Christine Fünfschilling. (2015). Quantification of the influence of the track geometry variability on the train dynamics. Mechanical Systems and Signal Processing. 60-61. 945–957. 31 indexed citations
14.
Perrin, Guillaume, et al.. (2015). Hyperspectral imaging applied to microbial categorization in an automated microbiology workflow. 953726–953726. 3 indexed citations
15.
Fünfschilling, Christine, et al.. (2012). Propagation of variability in railway dynamic simulations: application to virtual homologation. Vehicle System Dynamics. 50(sup1). 245–261. 21 indexed citations
16.
Eriksson, Mats, Guillaume Perrin, Xavier Descombes, & Josiane Zerubia. (2006). A comparative study of three methods for identifying individual tree crowns in aerial images covering different types of forests. 56–60. 6 indexed citations
17.
Perrin, Guillaume, Xavier Descombes, & Josiane Zerubia. (2006). Point processes in forestry : an application to tree crown detection. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
18.
Perrin, Guillaume, Xavier Descombes, & Josiane Zerubia. (2006). A Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes. HAL (Le Centre pour la Communication Scientifique Directe). 34. 10 indexed citations
19.
Perrin, Guillaume, J.C. Peuzin, & O. Acher. (1997). Control of the resonance frequency of soft ferromagnetic amorphous thin films by strip patterning. Journal of Applied Physics. 81(8). 5166–5168. 29 indexed citations
20.
Acher, O., et al.. (1994). High impedance anisotropic composites manufactured from ferromagnetic thin films for microwave applications. IEEE Transactions on Magnetics. 30(6). 4533–4535. 34 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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