François Pacaud

430 total citations
22 papers, 292 citations indexed

About

François Pacaud is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Ceramics and Composites. According to data from OpenAlex, François Pacaud has authored 22 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 6 papers in Ceramics and Composites. Recurrent topics in François Pacaud's work include Glass properties and applications (6 papers), Nuclear materials and radiation effects (5 papers) and Smart Grid Energy Management (3 papers). François Pacaud is often cited by papers focused on Glass properties and applications (6 papers), Nuclear materials and radiation effects (5 papers) and Smart Grid Energy Management (3 papers). François Pacaud collaborates with scholars based in France, United States and Kenya. François Pacaud's co-authors include C. Fillet, D. Ghaleb, Georges Calas, Laurence Galoisy, Marie‐Anne Arrio, Philippe Ildefonse, Pierre Carpentier, Jean‐Philippe Chancelier, Aline Y. Ramos and Mathilde Grand and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Power Systems and Journal of the American Ceramic Society.

In The Last Decade

François Pacaud

21 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Pacaud France 9 155 146 55 43 38 22 292
R. Haggerty United States 12 179 1.2× 346 2.4× 132 2.4× 22 0.5× 1 0.0× 18 620
Olga García‐Moreno Spain 13 187 1.2× 177 1.2× 106 1.9× 20 0.5× 25 404
Dongsheng Zhang China 12 78 0.5× 195 1.3× 116 2.1× 7 0.2× 4 0.1× 24 407
D.F. Bickford United States 10 103 0.7× 147 1.0× 10 0.2× 57 1.3× 1 0.0× 30 219
Naiyang Ma United States 10 7 0.0× 76 0.5× 60 1.1× 9 0.2× 3 0.1× 28 311
Victor Mazur Ukraine 10 12 0.1× 90 0.6× 17 0.3× 2 0.0× 10 0.3× 25 302
S. K. Bhattacharyya United Kingdom 11 24 0.2× 54 0.4× 95 1.7× 14 0.3× 6 0.2× 34 320
P.S. Weng Taiwan 8 17 0.1× 177 1.2× 42 0.8× 14 0.3× 8 0.2× 36 337
Shuangyan Xu China 10 24 0.2× 90 0.6× 24 0.4× 3 0.1× 23 0.6× 15 380

Countries citing papers authored by François Pacaud

Since Specialization
Citations

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

Fields of papers citing papers by François Pacaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Pacaud

This figure shows the co-authorship network connecting the top 25 collaborators of François Pacaud. A scholar is included among the top collaborators of François Pacaud 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 François Pacaud. François Pacaud 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.
Engelmann, Alexander, et al.. (2025). Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks. IEEE Transactions on Control of Network Systems. 12(2). 1687–1698. 2 indexed citations
2.
Anitescu, Mihai, et al.. (2024). Accelerating optimal power flow with GPUs: SIMD abstraction of nonlinear programs and condensed-space interior-point methods. Electric Power Systems Research. 236. 110651–110651. 8 indexed citations
3.
Pacaud, François, et al.. (2024). Parallel interior-point solver for block-structured nonlinear programs on SIMD/GPU architectures. Optimization methods & software. 39(4). 874–897. 4 indexed citations
4.
Pacaud, François, et al.. (2024). GPU-accelerated dynamic nonlinear optimization with ExaModels and MadNLP. 5963–5968. 1 indexed citations
5.
Pacaud, François, et al.. (2023). Accelerating Condensed Interior-Point Methods on SIMD/GPU Architectures. Journal of Optimization Theory and Applications. 202(1). 184–203. 9 indexed citations
6.
Cole, David R., et al.. (2023). Exploiting GPU/SIMD Architectures for Solving Linear-Quadratic MPC Problems*. 3995–4000. 3 indexed citations
7.
Pacaud, François, Pierre Carpentier, Jean‐Philippe Chancelier, & Michel De Lara. (2022). Optimization of a domestic microgrid equipped with solar panel and battery: Model Predictive Control and Stochastic Dual Dynamic Programming approaches. Energy Systems. 15(1). 115–139. 5 indexed citations
8.
Pacaud, François, et al.. (2022). A feasible reduced space method for real-time optimal power flow. Electric Power Systems Research. 212. 108268–108268. 5 indexed citations
9.
Pacaud, François, Michel De Lara, Jean‐Philippe Chancelier, & Pierre Carpentier. (2021). Distributed Multistage Optimization of Large-Scale Microgrids Under Stochasticity. IEEE Transactions on Power Systems. 37(1). 204–211. 11 indexed citations
10.
Carpentier, Pierre, Jean‐Philippe Chancelier, Michel De Lara, & François Pacaud. (2020). Mixed Spatial and Temporal Decompositions for Large-Scale Multistage Stochastic Optimization Problems. Journal of Optimization Theory and Applications. 186(3). 985–1005. 3 indexed citations
11.
Pacaud, François, et al.. (2020). Julia as a portable high-level language for numerical solvers of power flow equations on GPU architectures. Les Cahiers du GERAD. 1–17. 1 indexed citations
12.
Carpentier, Pierre, et al.. (2018). Stochastic decomposition applied to large-scale hydro valleys management. European Journal of Operational Research. 270(3). 1086–1098. 10 indexed citations
13.
Grand, Mathilde, Aline Y. Ramos, Georges Calas, et al.. (2000). Zinc environment in aluminoborosilicate glasses by Zn K-edge extended x-ray absorption fine structure spectroscopy. Journal of materials research/Pratt's guide to venture capital sources. 15(9). 2015–2019. 55 indexed citations
14.
Galoisy, Laurence, Marie‐Anne Arrio, Philippe Ildefonse, et al.. (1999). Evidence for 6‐Coordinated Zirconium in Inactive Nuclear Waste Glasses. Journal of the American Ceramic Society. 82(8). 2219–2224. 105 indexed citations
15.
Galoisy, Laurence, Jean‐Marc Delaye, D. Ghaleb, et al.. (1997). Local Structure of Simplified Waste Glass: Complementarity of XAS and MD Calculations. MRS Proceedings. 506. 4 indexed citations
16.
17.
Tanguy, Gaëlle, Tsunetaka Banba, K. Kuramoto, et al.. (1994). Examination and Testing of an Active Glass Sample Produced by Cogema. MRS Proceedings. 353. 5 indexed citations
18.
Pacaud, François, et al.. (1991). Effect of Platinoids on French LWR Reference Glass Properties. MRS Proceedings. 257. 12 indexed citations
19.
Pacaud, François, et al.. (1988). R7T7 Light Water Reference Glass Sensitivity to Variations in Chemical Composition and Operating Parameters. MRS Proceedings. 127. 23 indexed citations
20.
Pacaud, François, et al.. (1981). An Attempt to Assess The Long-Term Crystallization Rate of Nuclear Waste Glasses. MRS Proceedings. 11. 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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