Michael J. Fell

1.9k total citations
52 papers, 1.2k citations indexed

About

Michael J. Fell is a scholar working on Electrical and Electronic Engineering, Sociology and Political Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Michael J. Fell has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Sociology and Political Science and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Michael J. Fell's work include Smart Grid Energy Management (21 papers), Social Acceptance of Renewable Energy (10 papers) and Electric Vehicles and Infrastructure (8 papers). Michael J. Fell is often cited by papers focused on Smart Grid Energy Management (21 papers), Social Acceptance of Renewable Energy (10 papers) and Electric Vehicles and Infrastructure (8 papers). Michael J. Fell collaborates with scholars based in United Kingdom, Italy and Switzerland. Michael J. Fell's co-authors include Gesche Huebner, David Shipworth, Gareth Powells, Clifford A. Elwell, Lai Fong Chiu, Carol Vigurs, Christopher Maidment, Ulf J.J. Hahnel, Rebecca Ford and Colin Nolden and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Energy Policy.

In The Last Decade

Michael J. Fell

49 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Fell United Kingdom 19 658 356 256 201 156 52 1.2k
Johannes Reichl Austria 19 511 0.8× 285 0.8× 276 1.1× 439 2.2× 191 1.2× 42 1.3k
Eoghan McKenna United Kingdom 16 972 1.5× 415 1.2× 179 0.7× 104 0.5× 101 0.6× 35 1.4k
Stephen Potter United Kingdom 17 341 0.5× 335 0.9× 117 0.5× 157 0.8× 40 0.3× 82 1.4k
Ijeoma Onyeji Austria 8 358 0.5× 295 0.8× 390 1.5× 94 0.5× 47 0.3× 8 941
Johannes Kester United Kingdom 25 1.9k 2.9× 885 2.5× 421 1.6× 244 1.2× 151 1.0× 40 2.5k
Hassan Qudrat‐Ullah Canada 18 244 0.4× 351 1.0× 228 0.9× 80 0.4× 65 0.4× 67 1.3k
Matthew Hannon United Kingdom 15 314 0.5× 233 0.7× 118 0.5× 214 1.1× 206 1.3× 40 968
Lance Noel Denmark 30 2.3k 3.5× 1.0k 2.9× 491 1.9× 264 1.3× 145 0.9× 40 3.0k
Tracey Crosbie United Kingdom 20 325 0.5× 169 0.5× 54 0.2× 234 1.2× 59 0.4× 53 1.2k
Jacopo Torriti United Kingdom 25 1.7k 2.6× 980 2.8× 204 0.8× 169 0.8× 133 0.9× 77 2.4k

Countries citing papers authored by Michael J. Fell

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Fell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Fell. 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 Michael J. Fell. The network helps show where Michael J. Fell may publish in the future.

Co-authorship network of co-authors of Michael J. Fell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Fell. A scholar is included among the top collaborators of Michael J. Fell 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 Michael J. Fell. Michael J. Fell 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.
Costanza, Enrico, et al.. (2025). Everyday laboratories: Collective speculation and energy futures. Futures. 170. 103594–103594. 1 indexed citations
2.
Fell, Michael J., et al.. (2025). How do we want to buy and sell electricity? Contrasting preferences from the United Kingdom and South Korea. Energy Research & Social Science. 125. 104072–104072.
3.
Fell, Michael J.. (2024). Energy Social Surveys Replicated with Large Language Model Agents. SSRN Electronic Journal. 1 indexed citations
4.
Huebner, Gesche, et al.. (2024). Consumer preferences for business models with multiple electricity suppliers: Online choice experiments in the United Kingdom. Energy Research & Social Science. 109. 103403–103403. 3 indexed citations
5.
Costanza, Enrico, et al.. (2023). Supporting Solar Energy Coordination among Communities. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(2). 1–23. 6 indexed citations
6.
Shipworth, David, et al.. (2022). Defining Peer-to-Peer Energy Trading, Community Self-Consumption and Transactive Energy Models: Concept Definition Paper. SSRN Electronic Journal. 3 indexed citations
7.
Fell, Michael J., Katy Roelich, & Lucie Middlemiss. (2022). Realist approaches in energy research to support faster and fairer climate action. Nature Energy. 7(10). 916–922. 9 indexed citations
8.
Fell, Michael J.. (2021). Anticipating distributional impacts of peer-to-peer energy trading: Inference from a realist review of evidence on Airbnb. Cleaner and Responsible Consumption. 2. 100013–100013. 7 indexed citations
9.
Adams, Sophie, Donal Brown, Ruzanna Chitchyan, et al.. (2021). Social and Economic Value in Emerging Decentralized Energy Business Models: A Critical Review. Energies. 14(23). 7864–7864. 39 indexed citations
10.
Fell, Michael J., et al.. (2021). Lyrics segmentation via bimodal text–audio representation. Natural Language Engineering. 28(3). 317–336. 3 indexed citations
11.
Fell, Michael J., Chien Chen, Matthew H. Goldberg, et al.. (2020). Validity of energy social research during and after COVID-19: challenges, considerations, and responses. Energy Research & Social Science. 68. 101646–101646. 47 indexed citations
12.
Fell, Michael J.. (2020). The History of Heat-as-a-Service for Promoting Domestic Demand-Side Flexibility: Lessons from the case of Budget Warmth. Cairn.info. N° 5(2). 1f–21f. 3 indexed citations
13.
14.
Powells, Gareth & Michael J. Fell. (2019). Flexibility capital and flexibility justice in smart energy systems. Energy Research & Social Science. 54. 56–59. 125 indexed citations
15.
Fell, Michael J. & David Shipworth. (2017). Behaviour, practice – whatever? A theory-agnostic framework for describing and informing demand-side response. UCL Discovery (University College London).
16.
Fell, Michael J., David Shipworth, Gesche Huebner, & Clifford A. Elwell. (2015). Knowing me, knowing you: the role of trust, locus of control and privacy concern in acceptance of domestic electricity demand-side response. UCL Discovery (University College London). 8 indexed citations
17.
Fell, Michael J., David Shipworth, Gesche Huebner, & Clifford A. Elwell. (2015). Public acceptability of domestic demand-side response in Great Britain: The role of automation and direct load control. Energy Research & Social Science. 9. 72–84. 130 indexed citations
18.
Fell, Michael J. & Caroline Sporleder. (2014). Lyrics-based Analysis and Classification of Music. International Conference on Computational Linguistics. 620–631. 18 indexed citations
19.
Fell, Michael J.. (2010). Cervical spine trauma radiographs: Swimmers and supine obliques; an exploration of current practice. Radiography. 17(1). 33–38. 1 indexed citations
20.
Fell, Michael J.. (1999). And Some Fell into Good Soil: A History of Christianity in Iceland. Medical Entomology and Zoology. 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.

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