Thomas Morstyn

7.5k total citations · 6 hit papers
90 papers, 5.6k citations indexed

About

Thomas Morstyn is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Thomas Morstyn has authored 90 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Electrical and Electronic Engineering, 44 papers in Control and Systems Engineering and 16 papers in Automotive Engineering. Recurrent topics in Thomas Morstyn's work include Smart Grid Energy Management (61 papers), Microgrid Control and Optimization (41 papers) and Electric Vehicles and Infrastructure (21 papers). Thomas Morstyn is often cited by papers focused on Smart Grid Energy Management (61 papers), Microgrid Control and Optimization (41 papers) and Electric Vehicles and Infrastructure (21 papers). Thomas Morstyn collaborates with scholars based in United Kingdom, Australia and United States. Thomas Morstyn's co-authors include Malcolm McCulloch, Branislav Hredzak, Vassilios G. Agelidis, Alexander Teytelboym, Sarah Darby, Niall Farrell, H. Vincent Poor, Chau Yuen, Tapan Kumar Saha and Liyang Han and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Thomas Morstyn

83 papers receiving 5.4k citations

Hit Papers

Using peer-to-peer energy-trading platforms to incentiviz... 2016 2026 2019 2022 2018 2018 2018 2016 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Morstyn United Kingdom 33 5.0k 3.1k 846 430 367 90 5.6k
Nian Liu China 40 5.7k 1.1× 3.4k 1.1× 906 1.1× 347 0.8× 482 1.3× 265 6.8k
Wayes Tushar Australia 30 3.5k 0.7× 1.9k 0.6× 579 0.7× 358 0.8× 429 1.2× 89 4.2k
Wencong Su United States 36 5.0k 1.0× 2.4k 0.8× 2.0k 2.4× 162 0.4× 318 0.9× 165 5.8k
Zhiyi Li China 47 4.8k 1.0× 3.4k 1.1× 436 0.5× 348 0.8× 213 0.6× 181 6.2k
Abdollah Kavousi‐Fard Iran 32 2.4k 0.5× 1.4k 0.4× 695 0.8× 227 0.5× 175 0.5× 52 3.1k
Furong Li United Kingdom 36 3.6k 0.7× 1.5k 0.5× 518 0.6× 116 0.3× 327 0.9× 160 3.9k
Tiago Sousa Portugal 27 2.9k 0.6× 1.2k 0.4× 863 1.0× 210 0.5× 297 0.8× 89 3.4k
Tarek AlSkaif Netherlands 27 2.1k 0.4× 788 0.3× 532 0.6× 285 0.7× 451 1.2× 77 2.6k
Pedro Faria Portugal 31 3.7k 0.7× 1.9k 0.6× 513 0.6× 98 0.2× 644 1.8× 264 4.4k
Gianluca Fulli Italy 28 2.3k 0.5× 1.1k 0.4× 516 0.6× 92 0.2× 328 0.9× 89 2.9k

Countries citing papers authored by Thomas Morstyn

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Morstyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Morstyn

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Morstyn. A scholar is included among the top collaborators of Thomas Morstyn 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 Thomas Morstyn. Thomas Morstyn 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.
Savelli, Iacopo, et al.. (2024). Integrating local market operations into transmission investment: A tri-level optimization approach. Applied Energy. 378. 124721–124721.
2.
Savelli, Iacopo, et al.. (2024). An incentive regulation approach for balancing stakeholder interests in transmission merchant investment. Electric Power Systems Research. 234. 110617–110617. 1 indexed citations
3.
Savelli, Iacopo, Cameron Hepburn, & Thomas Morstyn. (2024). A blueprint for energy systems in the era of central bank digital currencies. Technological Forecasting and Social Change. 207. 123637–123637.
4.
Savelli, Iacopo, et al.. (2024). Making resource adequacy a private good: The good, the bad, and the ugly. Joule. 8(5). 1191–1196.
5.
Charbonnier, Flora, Thomas Morstyn, & Malcolm McCulloch. (2024). Home electricity data generator (HEDGE): An open-access tool for the generation of electric vehicle, residential demand, and PV generation profiles. MethodsX. 12. 102618–102618. 2 indexed citations
8.
Merlin, Michael, et al.. (2024). Coordination of Smart Hybrid Transformers in Distribution Networks. IEEE Transactions on Smart Grid. 16(2). 973–988. 1 indexed citations
9.
Hesse, Holger C., et al.. (2024). Depreciation Cost is a Poor Proxy for Revenue Lost to Aging in Grid Storage Optimization. Brunel University Research Archive (BURA) (Brunel University London). 701–706. 1 indexed citations
10.
Zhou, Yihong, et al.. (2024). Evaluating the social benefits and network costs of heat pumps as an energy crisis intervention. iScience. 27(2). 108854–108854. 4 indexed citations
11.
Zhou, Yihong, et al.. (2024). Datasets of Great Britain primary substations integrated with household heating information. Data in Brief. 54. 110483–110483. 1 indexed citations
12.
Zhou, Yihong, et al.. (2024). Evaluating and Comparing the Potentials in Primary Response for GPU and CPU Data Centers. 1–5. 1 indexed citations
13.
Grünewald, Philipp, Marko Aunedi, Seyyed Mostafa Nosratabadi, et al.. (2023). Taking the long view on short-run marginal emissions: how much carbon does flexibility and energy storage save?. Brunel University Research Archive (BURA) (Brunel University London). 2. 3 indexed citations
14.
Hua, Weiqi, Fengji Luo, Liang Du, et al.. (2022). Blockchain technologies empowering peer‐to‐peer trading in multi‐energy systems: From advanced technologies towards applications. IET Smart Grid. 5(4). 219–222. 1 indexed citations
15.
Savelli, Iacopo, et al.. (2022). Towards a Distributed Autonomous Organisation for Financing, Governing and Disbursing Revenues of a Battery Energy Storage System. Research Repository UCD (University College Dublin). 1–6. 2 indexed citations
16.
Tushar, Wayes, Chau Yuen, Tapan Kumar Saha, et al.. (2020). Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges. Applied Energy. 282. 116131–116131. 341 indexed citations breakdown →
17.
Toubeau, Jean‐François, Thomas Morstyn, Jérémie Bottieau, et al.. (2020). Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices. IEEE Transactions on Smart Grid. 12(3). 2663–2674. 22 indexed citations
18.
Tushar, Wayes, Tapan Kumar Saha, Chau Yuen, et al.. (2019). Grid Influenced Peer-to-Peer Energy Trading. IEEE Transactions on Smart Grid. 11(2). 1407–1418. 232 indexed citations
19.
Morstyn, Thomas, et al.. (2019). Gravity energy storage with suspended weights for abandoned mine shafts. Applied Energy. 239. 201–206. 72 indexed citations
20.
Morstyn, Thomas, Alexander Teytelboym, & Malcolm McCulloch. (2018). Designing Decentralized Markets for Distribution System Flexibility. IEEE Transactions on Power Systems. 34(3). 2128–2139. 143 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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