Benjamin Donnot

466 citations
24 papers · 234 · h-index 8

Impact in

Papers in

Benjamin Donnot

21 papers receiving 211 citations

Peers

Benjamin Donnot
Comparison fields: 5 of 37
  • Safety, Risk, Reliability and Quality 37
  • Control and Systems Engineering 67
  • Electrical and Electronic Engineering 160
  • Energy Engineering and Power Technology 6
  • Artificial Intelligence 62
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Chen Liang China
Tanmay Das India
Tingyan Guo United Kingdom
Sharma Kolluri United States
Vuk Malbaša United States
Yanfang Fan China
Reza Yousefian United States
Boris J. Pavez-Lazo Chile
P.S. Kannan India
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Citations per field
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Citations per year

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-authors

The 18 scholars most cited alongside Benjamin Donnot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Donnot Line = papers co-authored together Benjamin Donnot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 201939
3 202219
4 201817
5 202113
6 201811
7 202010
8 20228
9 20187
10 20206
11 20226
12 20204
13 20212
14
Towards an AI assistant for human grid operators
20222
15 20242
16 20252
17
Learning To Run a Power Network Competition
20181
18 20181
19
LEAP nets for power grid perturbations
20191
20 20211

About Benjamin Donnot

Benjamin Donnot is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Management Science and Operations Research and Social Psychology, having authored 24 papers that have together received 234 indexed citations. Recurring topics across this work include Power System Optimization and Stability (9 papers), Optimal Power Flow Distribution (7 papers), Smart Grid Energy Management (6 papers), Smart Grid Security and Resilience (5 papers), Energy Load and Power Forecasting (4 papers), Microgrid Control and Optimization (4 papers), Distributed and Parallel Computing Systems (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (37 citations), Control and Systems Engineering (67 citations), Electrical and Electronic Engineering (160 citations), Energy Engineering and Power Technology (6 citations) and Artificial Intelligence (62 citations). Benjamin Donnot has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici, Simon H. Tindemans, Jochen Lorenz Cremer, Qiuhua Huang, Jan Viebahn, Yang Weng and Marvin Lerousseau. Their work appears in journals such as Electric Power Systems Research, Applied Energy, IEEE Transactions on Power Systems, Neurocomputing and IEEE Open Access Journal of Power and Energy.

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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