Benjamin Donnot

484 total citations
15 papers, 172 citations indexed

About

Benjamin Donnot is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Benjamin Donnot has authored 15 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Benjamin Donnot's work include Power System Optimization and Stability (7 papers), Optimal Power Flow Distribution (6 papers) and Smart Grid Security and Resilience (5 papers). Benjamin Donnot is often cited by papers focused on Power System Optimization and Stability (7 papers), Optimal Power Flow Distribution (6 papers) and Smart Grid Security and Resilience (5 papers). Benjamin Donnot collaborates with scholars based in France, United States and Netherlands. Benjamin Donnot's co-authors include Isabelle Guyon, Antoine Marot, Marc Schoenauer, Marvin Lerousseau, Patrick Panciatici, Qiuhua Huang, Jochen Cremer, Yang Weng, Isabelle Guyon and Ziming Liu and has published in prestigious journals such as Applied Energy, Energy Policy and Neurocomputing.

In The Last Decade

Benjamin Donnot

11 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Donnot France 7 139 56 47 29 14 15 172
Tianyu Zhao China 6 299 2.2× 90 1.6× 29 0.6× 63 2.2× 29 2.1× 11 337
Yixuan Weng China 8 67 0.5× 30 0.5× 69 1.5× 9 0.3× 4 0.3× 29 169
Lucas da Cruz Alarcon Lima Australia 2 299 2.2× 231 4.1× 18 0.4× 22 0.8× 10 0.7× 4 325
Vuk Malbaša United States 9 322 2.3× 223 4.0× 30 0.6× 100 3.4× 9 0.6× 13 367
A.Y. Chang Canada 6 311 2.2× 181 3.2× 33 0.7× 86 3.0× 6 0.4× 9 325
P.S. Kannan India 5 275 2.0× 119 2.1× 41 0.9× 16 0.6× 2 0.1× 5 322
Tingyan Guo United Kingdom 7 329 2.4× 166 3.0× 39 0.8× 139 4.8× 14 1.0× 14 355
Savu C. Savulescu United States 9 262 1.9× 172 3.1× 16 0.3× 62 2.1× 9 0.6× 22 282
Boris Pavez-Lazo Chile 5 295 2.1× 81 1.4× 18 0.4× 31 1.1× 2 0.1× 10 327
R.J. O'Keefe United States 6 290 2.1× 193 3.4× 25 0.5× 82 2.8× 3 0.2× 6 316

Countries citing papers authored by Benjamin Donnot

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Donnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Donnot

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

All Works

15 of 15 papers shown
1.
Donnot, Benjamin, et al.. (2025). AI challenge for safe and low carbon power grid operation. Energy and AI. 22. 100564–100564.
2.
Pérez, Yannick, et al.. (2025). Regulating TSO interaction in bid filtering for European balancing markets. Energy Policy. 205. 114713–114713.
4.
Donnot, Benjamin, et al.. (2024). Bid filtering for congestion management in European balancing markets – A reinforcement learning approach. Applied Energy. 361. 122892–122892. 2 indexed citations
5.
Weng, Yang, et al.. (2023). Graph Neural Networks for Voltage Stability Margins with Topology Flexibilities. 1–1. 1 indexed citations
6.
Donnot, Benjamin, et al.. (2022). Learning to run a power network with trust. Electric Power Systems Research. 212. 108487–108487. 11 indexed citations
7.
Donnot, Benjamin, et al.. (2022). LIPS - Learning Industrial Physical Simulation Benchmark Suite. 28095–28109.
8.
Weng, Yang, et al.. (2022). Graph Neural Networks for Voltage Stability Margins With Topology Flexibilities. IEEE Open Access Journal of Power and Energy. 10. 73–85. 7 indexed citations
9.
Donnot, Benjamin, Isabelle Guyon, Ziming Liu, et al.. (2020). LEAP nets for system identification and application to power systems. Neurocomputing. 416. 316–327. 7 indexed citations
10.
Donnot, Benjamin, et al.. (2020). Neural networks for power flow: Graph neural solver. Electric Power Systems Research. 189. 106547–106547. 66 indexed citations
11.
Marot, Antoine, et al.. (2019). Learning to run a power network challenge for training topology\n controllers. arXiv (Cornell University). 39 indexed citations
12.
Donnot, Benjamin, et al.. (2019). Graph Neural Solver for Power Systems. SPIRE - Sciences Po Institutional REpository. 1–8. 28 indexed citations
13.
Donnot, Benjamin, Isabelle Guyon, Marc Schoenauer, Antoine Marot, & Patrick Panciatici. (2018). Anticipating contingengies in power grids using fast neural net\n screening. arXiv (Cornell University). 7 indexed citations
14.
Marot, Antoine, et al.. (2018). Guided Machine Learning for Power Grid Segmentation. 1–6. 3 indexed citations
15.
Donnot, Benjamin, et al.. (2018). Anticipating contingengies in power grids using fast neural net screening. arXiv (Cornell University). abs 1412 1897. 1–8. 1 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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