Dimitri Thomopulos

513 total citations
23 papers, 327 citations indexed

About

Dimitri Thomopulos is a scholar working on Electrical and Electronic Engineering, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Dimitri Thomopulos has authored 23 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 4 papers in Civil and Structural Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Dimitri Thomopulos's work include Smart Grid Energy Management (6 papers), Topology Optimization in Engineering (4 papers) and Electric Power System Optimization (4 papers). Dimitri Thomopulos is often cited by papers focused on Smart Grid Energy Management (6 papers), Topology Optimization in Engineering (4 papers) and Electric Power System Optimization (4 papers). Dimitri Thomopulos collaborates with scholars based in Italy, France and China. Dimitri Thomopulos's co-authors include Mauro Tucci, Sami Barmada, Nunzia Fontana, Enrico Malaguti, Emanuele Crisostomi, Fabio Furini, Davide Fioriti, Ivan Mariuzzo, Marco Raugi and A. Formisano and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Power Systems and Sensors.

In The Last Decade

Dimitri Thomopulos

23 papers receiving 312 citations

Peers

Dimitri Thomopulos

EEE

CSE

IME

U. Grasselli Italy

Illia Diahovchenko Ukraine

Piotr Kacejko Poland

Fulin Fan United Kingdom

Tomasz Sikorski Poland

Jiang Li China

Alberto Bocca Italy

Minghai Li China

Vadim Manusov Russia

U. Grasselli Italy

Dimitri Thomopulos

285 ×1.7

EEE

98 ×1.4

CSE

22 ×0.4

IME

31 ×0.8

15 ×0.4

Citations per year, relative to Dimitri Thomopulos Dimitri Thomopulos (= 1×) peers U. Grasselli

Countries citing papers authored by Dimitri Thomopulos

Since Specialization

Citations

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

Fields of papers citing papers by Dimitri Thomopulos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitri Thomopulos

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

All Works

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20 of 20 papers shown

Tucci, Mauro, et al.. (2024). Machine Learning Models for Regional Photovoltaic Power Generation Forecasting with Limited Plant-Specific Data. Energies. 17(10). 2346–2346. 5 indexed citations

Gleixner, Ambros, et al.. (2024). The MIP Workshop 2023 Computational Competition on reoptimization. Mathematical Programming Computation. 16(2). 255–266. 2 indexed citations

Thomopulos, Dimitri, Wim van Ackooij, Claudia D’Ambrosio, & Marc Stéfanon. (2023). Generating hydro unit commitment instances. Top. 32(1). 106–136. 2 indexed citations

Thomopulos, Dimitri, Davide Fioriti, Ivan Mariuzzo, et al.. (2023). Design of Energy Communities and Data-Sharing: Format and Open Data. Energies. 16(17). 6268–6268. 1 indexed citations

Fioriti, Davide, Ivan Mariuzzo, Davide Poli, et al.. (2023). Energy Communities: A review on trends, energy system modelling, business models, and optimisation objectives. Sustainable Energy Grids and Networks. 36. 101187–101187. 59 indexed citations

Barmada, Sami, A. Formisano, Dimitri Thomopulos, & Mauro Tucci. (2022). Deep learning as a tool for inverse problems resolution: a case study. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 41(6). 2120–2133. 2 indexed citations

Anastasi, Giuseppe, Carlo Bartoli, Paolo Conti, et al.. (2021). Optimized Energy and Air Quality Management of Shared Smart Buildings in the COVID-19 Scenario. Energies. 14(8). 2124–2124. 20 indexed citations

Betti, Alessandro, et al.. (2021). Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps. Sensors. 21(5). 1687–1687. 22 indexed citations

Tucci, Mauro, Sami Barmada, A. Formisano, & Dimitri Thomopulos. (2021). A Regularized Procedure to Generate a Deep Learning Model for Topology Optimization of Electromagnetic Devices. Electronics. 10(18). 2185–2185. 17 indexed citations

10.

Crisostomi, Emanuele, et al.. (2020). Rotor Speed Fluctuation Analysis for Rapid De-Loading of Variable Speed Wind Turbines. CINECA IRIS Institutial research information system (University of Pisa). 482–487. 9 indexed citations

11.

Crisostomi, Emanuele, et al.. (2020). An Optimized Decentralized Power Sharing Strategy for Wind Farm De-Loading. IEEE Transactions on Power Systems. 36(1). 136–146. 19 indexed citations

12.

Barmada, Sami, Nunzia Fontana, Luca Sani, Dimitri Thomopulos, & Mauro Tucci. (2020). Deep Learning and Reduced Models for Fast Optimization in Electromagnetics. IEEE Transactions on Magnetics. 56(3). 1–4. 43 indexed citations

13.

Crisostomi, Emanuele, et al.. (2020). A Decentralized Power Sharing Strategy for Wind Farm De-Loading. CINECA IRIS Institutial research information system (University of Pisa). 17. 1–5. 2 indexed citations

14.

Crisostomi, Emanuele, et al.. (2020). Controlled islanding algorithm for AC/DC hybrid power systems utilising DC modulation. IET Generation Transmission & Distribution. 14(26). 6440–6449. 2 indexed citations

15.

Ackooij, Wim van, et al.. (2020). Decomposition and shortest path problem formulation for solving the hydro unit commitment and scheduling in a hydro valley. European Journal of Operational Research. 291(3). 935–943. 7 indexed citations

16.

Lodi, Andrea, Enrico Malaguti, Giacomo Nannicini, & Dimitri Thomopulos. (2019). Nonlinear chance-constrained problems with applications to hydro scheduling. Mathematical Programming. 191(1). 405–444. 7 indexed citations

17.

Tantet, Alexis, Marc Stéfanon, Philippe Drobinski, et al.. (2019). e4clim 1.0: The Energy for a Climate Integrated Model: Description and Application to Italy. Energies. 12(22). 4299–4299. 11 indexed citations

18.

Barmada, Sami, Nunzia Fontana, Dimitri Thomopulos, & Mauro Tucci. (2019). Autoencoder Based Optimization for Electromagnetics Problems. 34(12). 1875–1880. 3 indexed citations

19.

Ackooij, Wim van, et al.. (2018). Shortest Path Problem variants for the Hydro Unit Commitment Problem. Electronic Notes in Discrete Mathematics. 69. 309–316. 5 indexed citations

20.

Furini, Fabio, Enrico Malaguti, & Dimitri Thomopulos. (2016). Modeling Two-Dimensional Guillotine Cutting Problems via Integer Programming. INFORMS journal on computing. 28(4). 736–751. 37 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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