Andreas Sumper

8.1k total citations · 1 hit paper
177 papers, 6.4k citations indexed

About

Andreas Sumper is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Andreas Sumper has authored 177 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 154 papers in Electrical and Electronic Engineering, 94 papers in Control and Systems Engineering and 22 papers in Automotive Engineering. Recurrent topics in Andreas Sumper's work include Microgrid Control and Optimization (83 papers), Smart Grid Energy Management (50 papers) and Wind Turbine Control Systems (42 papers). Andreas Sumper is often cited by papers focused on Microgrid Control and Optimization (83 papers), Smart Grid Energy Management (50 papers) and Wind Turbine Control Systems (42 papers). Andreas Sumper collaborates with scholars based in Spain, Romania and Iran. Andreas Sumper's co-authors include Oriol Gomis‐Bellmunt, Francisco Díaz‐González, Roberto Villafáfila‐Robles, José Luís Domínguez‐García, Mousa Marzband, Mònica Aragüés‐Peñalba, J. Bergas, Pol Olivella‐Rosell, Fernando D. Bianchi and Antoni Sudrià‐Andreu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Applied Energy.

In The Last Decade

Andreas Sumper

171 papers receiving 6.1k citations

Hit Papers

A review of energy storag... 2012 2026 2016 2021 2012 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andreas Sumper 5.1k 3.3k 910 879 549 177 6.4k
Bin Zhou 6.1k 1.2× 3.0k 0.9× 1.1k 1.2× 599 0.7× 746 1.4× 178 7.5k
Audun Botterud 5.3k 1.0× 1.2k 0.4× 755 0.8× 586 0.7× 617 1.1× 156 6.3k
Seddik Bacha 6.5k 1.3× 3.7k 1.1× 1.1k 1.3× 1.8k 2.0× 1.5k 2.8× 256 8.0k
Janaka Ekanayake 6.5k 1.3× 4.2k 1.3× 655 0.7× 378 0.4× 616 1.1× 200 7.2k
Mousa Marzband 7.9k 1.5× 4.0k 1.2× 1.6k 1.8× 1.6k 1.8× 930 1.7× 225 9.3k
Kazem Zare 8.5k 1.7× 4.0k 1.2× 1.6k 1.7× 764 0.9× 780 1.4× 272 9.2k
Hazlie Mokhlis 9.3k 1.8× 6.4k 1.9× 938 1.0× 714 0.8× 1.3k 2.3× 446 11.2k
Hongjie Jia 9.2k 1.8× 4.1k 1.2× 1.3k 1.4× 1.8k 2.0× 720 1.3× 490 10.6k
Gianfranco Chicco 6.9k 1.4× 2.6k 0.8× 914 1.0× 567 0.6× 1.1k 2.1× 357 8.5k
Abdellatif Miraoui 5.3k 1.0× 2.6k 0.8× 681 0.7× 2.4k 2.7× 814 1.5× 223 6.4k

Countries citing papers authored by Andreas Sumper

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Sumper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Sumper

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Sumper. A scholar is included among the top collaborators of Andreas Sumper 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 Andreas Sumper. Andreas Sumper 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.
Sumper, Andreas, et al.. (2025). A machine learning approach for EVCS integration in distribution network based on optimal investment actions. Electric Power Systems Research. 252. 112376–112376. 1 indexed citations
2.
Bullich‐Massagué, Eduard, et al.. (2024). Enhancing Distribution Grid Efficiency and Congestion Management through Optimal Battery Storage and Power Flow Modeling. SHILAP Revista de lepidopterología. 5(2). 351–369. 6 indexed citations
3.
Sumper, Andreas, et al.. (2024). Advancing Power System Services With Privacy-Preserving Federated Learning Techniques: A Review. IEEE Access. 12. 76753–76780. 14 indexed citations
4.
Aragüés‐Peñalba, Mònica, et al.. (2024). Distribution network planning method: Integration of a recurrent neural network model for the prediction of scenarios. Electric Power Systems Research. 229. 110125–110125. 9 indexed citations
5.
Aragüés‐Peñalba, Mònica, et al.. (2024). Comprehensive Data-Driven Framework for Detecting and Classifying Non-Technical Distribution Losses. IEEE Access. 12. 96537–96551. 4 indexed citations
6.
Löschenbrand, Markus, et al.. (2022). A systematic review of machine learning techniques related to local energy communities. Renewable and Sustainable Energy Reviews. 170. 112651–112651. 56 indexed citations
7.
Sumper, Andreas, et al.. (2020). Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review. Energies. 13(14). 3730–3730. 31 indexed citations
8.
Olivella‐Rosell, Pol, Pau Lloret-Gallego, Eduardo Prieto‐Araujo, et al.. (2020). Centralised and Distributed Optimization for Aggregated Flexibility Services Provision. IEEE Transactions on Smart Grid. 11(4). 3257–3269. 54 indexed citations
9.
Heredero-Peris, Daniel, et al.. (2019). Extending 2-D space vector PWM for three-phase four-leg inverters. EPE Journal. 29(3). 132–148. 3 indexed citations
10.
Kasaeian, Alibakhsh, Armin Razmjoo, Reza Shirmohammadi, Fathollah Pourfayaz, & Andreas Sumper. (2019). Deployment of a stand‐alone hybrid renewable energy system in coastal areas as a reliable energy source. Environmental Progress & Sustainable Energy. 39(3). 29 indexed citations
11.
Olivella‐Rosell, Pol, Pau Lloret-Gallego, Íngrid Munné‐Collado, et al.. (2018). Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level. Energies. 11(4). 822–822. 179 indexed citations
12.
Olivella‐Rosell, Pol, Eduard Bullich‐Massagué, Mònica Aragüés‐Peñalba, et al.. (2017). Optimization problem for meeting distribution system operator requests in local flexibility markets with distributed energy resources. Applied Energy. 210. 881–895. 167 indexed citations
13.
Lloret-Gallego, Pau, et al.. (2017). Methodology for the Evaluation of Resilience of ICT Systems for Smart Distribution Grids. Energies. 10(9). 1287–1287. 6 indexed citations
14.
Bullich‐Massagué, Eduard, Francisco Díaz‐González, Mònica Aragüés‐Peñalba, et al.. (2017). Microgrid clustering architectures. Applied Energy. 212. 340–361. 179 indexed citations
15.
Pinto, R. Teixeira, Mònica Aragüés‐Peñalba, Oriol Gomis‐Bellmunt, & Andreas Sumper. (2016). Optimal Operation of DC Networks to Support Power System Outage Management. IEEE Transactions on Smart Grid. 7(6). 2953–2961. 28 indexed citations
17.
Leemput, Niels, Frederik Geth, Juan Van Roy, et al.. (2015). MV and LV Residential Grid Impact of Combined Slow and Fast Charging of Electric Vehicles. Energies. 8(3). 1760–1783. 44 indexed citations
18.
Olivella‐Rosell, Pol, Roberto Villafáfila‐Robles, Andreas Sumper, & J. Bergas. (2015). Probabilistic Agent-Based Model of Electric Vehicle Charging Demand to Analyse the Impact on Distribution Networks. Energies. 8(5). 4160–4187. 81 indexed citations
19.
Sumper, Andreas, et al.. (2010). Deterministic and Probabilistic Assessment of the Impact of the Electrical Vehicles on the Power Grid. Renewable Energy and Power Quality Journal. 1(8). 1505–1509. 4 indexed citations
20.
Sumper, Andreas, et al.. (2009). Remote laboratory monitoring of rectifiers and harmonic current generation. European Conference on Power Electronics and Applications. 1–9. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026