Tom Brown

5.4k total citations · 3 hit papers
74 papers, 3.7k citations indexed

About

Tom Brown is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Energy Engineering and Power Technology. According to data from OpenAlex, Tom Brown has authored 74 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 17 papers in Renewable Energy, Sustainability and the Environment and 16 papers in Energy Engineering and Power Technology. Recurrent topics in Tom Brown's work include Integrated Energy Systems Optimization (48 papers), Electric Power System Optimization (17 papers) and Hybrid Renewable Energy Systems (16 papers). Tom Brown is often cited by papers focused on Integrated Energy Systems Optimization (48 papers), Electric Power System Optimization (17 papers) and Hybrid Renewable Energy Systems (16 papers). Tom Brown collaborates with scholars based in Germany, Denmark and United States. Tom Brown's co-authors include Martin Greiner, David Schlachtberger, Stefan Schramm, Marta Victoria, Fabian Neumann, Elisabeth Zeyen, Alexander Kies, Jonas Hörsch, Gorm Bruun Andresen and Kun Zhu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Tom Brown

71 papers receiving 3.5k citations

Hit Papers

Synergies of sector coupl... 2018 2026 2020 2023 2018 2018 2023 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Tom Brown 2.7k 1.3k 843 335 324 74 3.7k
Thomas Hamacher 2.5k 0.9× 942 0.7× 687 0.8× 245 0.7× 230 0.7× 232 4.0k
David Moser 2.7k 1.0× 773 0.6× 1.6k 2.0× 439 1.3× 173 0.5× 184 4.4k
Ana Estanqueiro 2.2k 0.8× 537 0.4× 312 0.4× 247 0.7× 441 1.4× 102 2.8k
William D’haeseleer 4.1k 1.5× 848 0.7× 1.5k 1.8× 748 2.2× 392 1.2× 197 7.1k
Curran Crawford 1.6k 0.6× 620 0.5× 639 0.8× 411 1.2× 933 2.9× 171 4.1k
Michael Milligan 3.4k 1.2× 369 0.3× 331 0.4× 146 0.4× 386 1.2× 87 3.9k
Damian Flynn 5.9k 2.2× 706 0.5× 468 0.6× 209 0.6× 489 1.5× 210 6.6k
Rodrigo Escobar 1.4k 0.5× 419 0.3× 2.5k 2.9× 500 1.5× 159 0.5× 135 4.4k
D. Lew 1.5k 0.6× 335 0.3× 304 0.4× 122 0.4× 157 0.5× 67 2.4k
J.G. McGowan 1.3k 0.5× 626 0.5× 547 0.6× 542 1.6× 1.3k 3.9× 97 4.0k

Countries citing papers authored by Tom Brown

Since Specialization
Citations

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

Fields of papers citing papers by Tom Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Brown. A scholar is included among the top collaborators of Tom Brown 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 Tom Brown. Tom Brown 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.
Odenweller, Adrian, Falko Ueckerdt, Johannes Hampp, et al.. (2026). REMIND-PyPSA-Eur: integrating power system flexibility into sector-coupled energy transition pathways. ArXiv.org. 8(2). 25001–25001.
2.
Hofmann, Fabian, et al.. (2025). H2 and CO2 network strategies for the European energy system. Nature Energy. 10(6). 715–724. 10 indexed citations
3.
Brown, Tom, Fabian Neumann, & Iegor Riepin. (2025). Price formation without fuel costs: The interaction of demand elasticity with storage bidding. Energy Economics. 147. 108483–108483. 1 indexed citations
4.
Brown, Tom, et al.. (2025). The impact of temporal hydrogen regulation on hydrogen exporters and their domestic energy transition. Nature Communications. 16(1). 7486–7486. 2 indexed citations
5.
Roelfsema, Mark, Iain Staffell, Gabriel Oreggioni, et al.. (2025). Examining pathways for a climate neutral Europe by 2050; A model comparison analysis including integrated assessment models and energy system models. Energy. 319. 134809–134809. 4 indexed citations
6.
Strunz, Kai, et al.. (2024). Multi‐energy system horizon planning: Early decarbonisation in China avoids stranded assets. 1(1). 81–98. 3 indexed citations
8.
Hampp, Johannes, M. Düren, & Tom Brown. (2023). Import options for chemical energy carriers from renewable sources to Germany. PLoS ONE. 18(2). e0262340–e0262340. 70 indexed citations
9.
Zeyen, Elisabeth, Marta Victoria, & Tom Brown. (2023). Endogenous learning for green hydrogen in a sector-coupled energy model for Europe. Nature Communications. 14(1). 3743–3743. 61 indexed citations
10.
Neumann, Fabian, Elisabeth Zeyen, Marta Victoria, & Tom Brown. (2023). The potential role of a hydrogen network in Europe. Joule. 7(8). 1793–1817. 141 indexed citations breakdown →
12.
Hofmann, Fabian, Johannes Hampp, Fabian Neumann, Tom Brown, & Jonas Hörsch. (2021). atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series. The Journal of Open Source Software. 6(62). 3294–3294. 72 indexed citations
13.
Brown, Tom, Jonas Hörsch, & David Schlachtberger. (2020). Python for Power System Analysis (PyPSA) Version 0.17.0. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
14.
Brown, Tom & Lina Reichenberg. (2020). Decreasing market value of variable renewables can be avoided by policy action. arXiv (Cornell University). 59 indexed citations
15.
Victoria, Marta, Kun Zhu, Tom Brown, Gorm Bruun Andresen, & Martin Greiner. (2019). The role of photovoltaics in a sustainable European energy system under variable CO2emissions targets, transmission capacities, and costs assumptions. Progress in Photovoltaics Research and Applications. 28(6). 483–492. 20 indexed citations
16.
Brown, Tom, Mirko Schäfer, & Martin Greiner. (2019). Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System. Energies. 12(6). 1032–1032. 28 indexed citations
17.
Hörsch, Jonas, et al.. (2019). PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Code). Zenodo (CERN European Organization for Nuclear Research). 207 indexed citations
18.
Schlachtberger, David, Tom Brown, Mirko Schäfer, Stefan Schramm, & Martin Greiner. (2018). Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints. Energy. 163. 100–114. 117 indexed citations
19.
Schlachtberger, David, Tom Brown, Stefan Schramm, & Martin Greiner. (2017). The benefits of cooperation in a highly renewable European electricity network. Energy. 134. 469–481. 231 indexed citations
20.
Brown, Tom, et al.. (2016). Solar Power Integration on the Seychelles Islands. SHILAP Revista de lepidopterología. 2 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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