Will Usher

3.7k total citations · 2 hit papers
41 papers, 2.1k citations indexed

About

Will Usher is a scholar working on Electrical and Electronic Engineering, Economics and Econometrics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Will Usher has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 15 papers in Economics and Econometrics and 12 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Will Usher's work include Integrated Energy Systems Optimization (17 papers), Climate Change Policy and Economics (14 papers) and Hybrid Renewable Energy Systems (9 papers). Will Usher is often cited by papers focused on Integrated Energy Systems Optimization (17 papers), Climate Change Policy and Economics (14 papers) and Hybrid Renewable Energy Systems (9 papers). Will Usher collaborates with scholars based in United Kingdom, Sweden and United States. Will Usher's co-authors include Jonathan D. Herman, Neil Strachan, Takuya Iwanaga, Steve Pye, Ilkka Keppo, Marianne Zeyringer, Hannah Daly, Will McDowall, Mark Howells and Joseph F. DeCarolis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Will Usher

39 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SALib: An open-source Python library for Sensitivity Analysis

2017 924 citations Will Usher et al. The Journal of Open Source Software profile →
Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses

2022 194 citations Will Usher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Usher United Kingdom	17	624	433	377	248	236	41	2.1k
Mark J. Kaiser United States	23	245 0.4×	196 0.5×	252 0.7×	164 0.7×	270 1.1×	223	2.8k
Simon Watson United Kingdom	25	1.2k 1.9×	421 1.0×	149 0.4×	43 0.2×	148 0.6×	131	2.8k
M. Abbaspour Iran	21	259 0.4×	226 0.5×	250 0.7×	51 0.2×	200 0.8×	135	2.0k
Andrew Higgins Canada	42	212 0.3×	167 0.4×	125 0.3×	193 0.8×	234 1.0×	245	5.4k
Jay Apt United States	34	3.3k 5.3×	349 0.8×	733 1.9×	452 1.8×	466 2.0×	121	5.3k
Bernd Möller Denmark	32	1.7k 2.7×	391 0.9×	911 2.4×	82 0.3×	245 1.0×	78	3.4k
Enrico Sciubba Italy	36	574 0.9×	1.5k 3.5×	1.2k 3.3×	189 0.8×	179 0.8×	184	4.7k
Bert de Vries Netherlands	29	375 0.6×	417 1.0×	472 1.3×	563 2.3×	458 1.9×	123	2.7k
Mehmet Bilgili Türkiye	28	1.1k 1.8×	842 1.9×	410 1.1×	85 0.3×	249 1.1×	133	3.0k
David S.‐K. Ting Canada	38	721 1.2×	1.0k 2.4×	579 1.5×	26 0.1×	213 0.9×	269	5.6k

Countries citing papers authored by Will Usher

Since Specialization

Citations

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

Fields of papers citing papers by Will Usher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Usher

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Usher, Will, et al.. (2025). The relative importance of uncertain parameters and structural formulation for electricity systems planning in Kenya and Benin. iScience. 28(2). 111792–111792.

Usher, Will, et al.. (2025). Stakeholder engagement for co-designing European climate and energy research priorities. Renewable and Sustainable Energy Reviews. 215. 115574–115574. 2 indexed citations

Gardumi, Francesco, et al.. (2025). Exploring interlinkages in land, energy, and water in cooking and agriculture sectors: A case study in Kenya. Energy Nexus. 17. 100366–100366. 2 indexed citations

Tomei, Julia, et al.. (2024). Data governance and open science in energy planning: A case study of the Kenyan ecosystem. Energy Research & Social Science. 118. 103821–103821. 1 indexed citations

Dekker, Mark, Francesco Lombardi, Robert Pietzcker, et al.. (2024). Comparing energy system optimization models and integrated assessment models: Relevance for energy policy advice. SHILAP Revista de lepidopterología. 3. 69–69. 2 indexed citations

Usher, Will, et al.. (2023). Exploring long-term electrification pathway dynamics: a case study of Ethiopia. KTH Publication Database DiVA (KTH Royal Institute of Technology). 3(1). 3 indexed citations

Usher, Will, et al.. (2023). Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling. SHILAP Revista de lepidopterología. 3. 30–30. 15 indexed citations

Usher, Will, et al.. (2023). otoole: OSeMOSYS Tools for Energy Work. The Journal of Open Source Software. 8(92). 5511–5511. 1 indexed citations

Howells, Mark, et al.. (2023). Increasing spatial and temporal resolution in energy system optimisation model – The case of Kenya. Energy Strategy Reviews. 51. 101263–101263. 7 indexed citations

10.

Dekker, Mark, Francesco Lombardi, Robert Pietzcker, et al.. (2023). The mutual benefits of comparing energy system models and integrated assessment models. Open Research Europe. 3. 69–69. 7 indexed citations

11.

Pappis, Ioannis, et al.. (2021). Influence of Electrification Pathways in the Electricity Sector of Ethiopia—Policy Implications Linking Spatial Electrification Analysis and Medium to Long-Term Energy Planning. Energies. 14(4). 1209–1209. 29 indexed citations

12.

Niet, Taco, Abhishek Shivakumar, Francesco Gardumi, et al.. (2021). Developing a community of practice around an open source energy modelling tool. Energy Strategy Reviews. 35. 100650–100650. 48 indexed citations

13.

Angulo-Paniagua, Jam, et al.. (2020). Decarbonising the transport and energy sectors: Technical feasibility and socioeconomic impacts in Costa Rica. Energy Strategy Reviews. 32. 100573–100573. 62 indexed citations

14.

Wang, Feng, et al.. (2020). CPU Ray Tracing of Tree‐Based Adaptive Mesh Refinement Data. Computer Graphics Forum. 39(3). 1–12. 13 indexed citations

15.

Usher, Will & Tom Russell. (2019). A Software Framework for the Integration of Infrastructure Simulation Models. Journal of Open Research Software. 7(1). 16–16. 6 indexed citations

16.

Pye, Steve, Francis G.N. Li, Arthur C. Petersen, et al.. (2018). Assessing qualitative and quantitative dimensions of uncertainty in energy modelling for policy support in the United Kingdom. Energy Research & Social Science. 46. 332–344. 43 indexed citations

17.

Oughton, Edward J., Will Usher, Peter Tyler, & Jim W. Hall. (2018). Infrastructure as a Complex Adaptive System. Complexity. 2018(1). 49 indexed citations

18.

Usher, Will, et al.. (2016). SALib/SALib: Launch!. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

19.

Anandarajah, Gabrial, et al.. (2011). TIAM-UCL Global Model Documentation. UCL Discovery (University College London). 26 indexed citations

20.

Usher, Will. (2010). Investment Uncertainty Under Stringent UK Decarbonisation Targets. UCL Discovery (University College London). 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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