Mathieu Caujolle

401 total citations
11 papers, 255 citations indexed

About

Mathieu Caujolle is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Mathieu Caujolle has authored 11 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 5 papers in Electrical and Electronic Engineering and 4 papers in Management Science and Operations Research. Recurrent topics in Mathieu Caujolle's work include Simulation Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (3 papers) and Real-time simulation and control systems (3 papers). Mathieu Caujolle is often cited by papers focused on Simulation Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (3 papers) and Real-time simulation and control systems (3 papers). Mathieu Caujolle collaborates with scholars based in France, Portugal and Belgium. Mathieu Caujolle's co-authors include Ricardo J. Bessa, Jean Sumaili, Luís Seca, João Silva, Manuel Matos, Vladimiro Miranda, Jorge Pereira, Stéphane Vialle, Laurent Ciarletta and Mohamed Bensetti and has published in prestigious journals such as IEEE Transactions on Power Systems, CIRED - Open Access Proceedings Journal and Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT).

In The Last Decade

Mathieu Caujolle

11 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathieu Caujolle France	5	232	120	17	14	8	11	255
Jacob Hansen United States	11	253 1.1×	184 1.5×	8 0.5×	20 1.4×	7 0.9×	24	277
Olivier Devaux France	6	288 1.2×	221 1.8×	36 2.1×	11 0.8×	5 0.6×	17	298
Bochen Shi China	10	234 1.0×	149 1.2×	7 0.4×	5 0.4×	15 1.9×	41	275
João Silva Portugal	6	313 1.3×	149 1.2×	34 2.0×	14 1.0×	2 0.3×	13	327
R. Adapa United States	8	231 1.0×	116 1.0×	51 3.0×	11 0.8×	6 0.8×	18	258
Kumaraguru Prabakar United States	10	252 1.1×	262 2.2×	4 0.2×	15 1.1×	5 0.6×	57	304
Noemi G. Cobos Spain	7	392 1.7×	103 0.9×	22 1.3×	4 0.3×	9 1.1×	9	407
R. D’Aquila United States	8	225 1.0×	148 1.2×	18 1.1×	4 0.3×	4 0.5×	9	254
D. Tholomier United States	11	323 1.4×	314 2.6×	15 0.9×	20 1.4×		35	356
Boris Pavez-Lazo Chile	5	295 1.3×	81 0.7×	31 1.8×	7 0.5×	4 0.5×	10	327

Countries citing papers authored by Mathieu Caujolle

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Caujolle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Caujolle

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

All Works

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11 of 11 papers shown

Labouré, Éric, et al.. (2022). Machine Learning Metamodeling of Harmonic Sources in LV Distribution Networks. 14. 1–6. 2 indexed citations

Bensetti, Mohamed, et al.. (2021). ENHANCED MACHINE LEARNING METHODS FOR NONLINEAR HARMONIC SOURCE MODELLING. IET conference proceedings.. 2021(6). 975–980. 1 indexed citations

Silva, João, Jean Sumaili, Ricardo J. Bessa, et al.. (2018). Estimating the Active and Reactive Power Flexibility Area at the TSO-DSO Interface. IEEE Transactions on Power Systems. 33(5). 4741–4750. 209 indexed citations

Caujolle, Mathieu, et al.. (2017). LV state estimation and TSO–DSO cooperation tools: results of the French field tests in the evolvDSO project. CIRED - Open Access Proceedings Journal. 2017(1). 1883–1887. 5 indexed citations

Vialle, Stéphane, et al.. (2017). Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster. Linköping electronic conference proceedings. 132. 673–682. 4 indexed citations

Vialle, Stéphane, et al.. (2017). Scaling FMI-CS Based Multi-Simulation Beyond Thousand FMUs on Infiniband Cluster. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

Caujolle, Mathieu, et al.. (2017). Building Parallel FMUs (or Matryoshka Co-Simulations). Linköping electronic conference proceedings. 132. 663–671. 3 indexed citations

Caujolle, Mathieu, et al.. (2016). Hybrid Co-simulation of FMUs using DEV&DESS in MECSYCO. SPIRE - Sciences Po Institutional REpository. 4 indexed citations

Fonseca, N., João Silva, Jean Sumaili, et al.. (2016). evolvDSO grid management tools to support TSO-DSO cooperation. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 72 (4 .)–72 (4 .). 17 indexed citations

10.

Pereira, Jorge, et al.. (2016). A State Estimator for LV Networks: Results from the EvolvDSO Project. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 136 (4 .)–136 (4 .). 5 indexed citations

11.

Vialle, Stéphane, et al.. (2016). Scaling of Distributed Multi-simulations on Multi-core Clusters. 142–147. 4 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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