Rupert Way

840 total citations · 1 hit paper
6 papers, 514 citations indexed

About

Rupert Way is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Environmental Engineering. According to data from OpenAlex, Rupert Way has authored 6 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in Renewable Energy, Sustainability and the Environment and 2 papers in Environmental Engineering. Recurrent topics in Rupert Way's work include Climate Change Policy and Economics (3 papers), Global Energy and Sustainability Research (3 papers) and Environmental Impact and Sustainability (2 papers). Rupert Way is often cited by papers focused on Climate Change Policy and Economics (3 papers), Global Energy and Sustainability Research (3 papers) and Environmental Impact and Sustainability (2 papers). Rupert Way collaborates with scholars based in United Kingdom, United States and Italy. Rupert Way's co-authors include Matthew C. Ives, J. Doyne Farmer, Penny Mealy, Cameron Hepburn, Ryan Rafaty, Sugandha Srivastav, Thomas Hale, Thom Wetzer, Elena Verdolini and Jing Meng and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Joule.

In The Last Decade

Rupert Way

6 papers receiving 486 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.

Empirically grounded technology forecasts and the energy transition

2022 286 citations Rupert Way, Matthew C. Ives et al. Joule profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rupert Way United Kingdom	6	194	184	113	109	80	6	514
Michela Catenacci Italy	9	192 1.0×	102 0.6×	103 0.9×	66 0.6×	66 0.8×	16	504
L. Gomez Echeverri Austria	3	172 0.9×	165 0.9×	102 0.9×	85 0.8×	80 1.0×	3	588
Sujeetha Selvakkumaran Sweden	12	112 0.6×	181 1.0×	125 1.1×	51 0.5×	109 1.4×	34	421
Olav Hohmeyer Germany	11	142 0.7×	160 0.9×	138 1.2×	59 0.5×	89 1.1×	34	504
Niki-Artemis Spyridaki Greece	11	94 0.5×	107 0.6×	68 0.6×	91 0.8×	88 1.1×	19	373
Nadia Ameli United Kingdom	10	249 1.3×	216 1.2×	138 1.2×	38 0.3×	80 1.0×	23	697
Jan Witajewski-Baltvilks Poland	9	184 0.9×	127 0.7×	71 0.6×	51 0.5×	89 1.1×	17	359
Jenny Heeter United States	10	211 1.1×	163 0.9×	271 2.4×	59 0.5×	66 0.8×	16	626
Ida Sognnæs Norway	7	311 1.6×	174 0.9×	82 0.7×	138 1.3×	137 1.7×	13	566
Lorenza Campagnolo Italy	12	241 1.2×	114 0.6×	52 0.5×	94 0.9×	105 1.3×	24	524

Countries citing papers authored by Rupert Way

Since Specialization

Citations

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

Fields of papers citing papers by Rupert Way

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupert Way

This figure shows the co-authorship network connecting the top 25 collaborators of Rupert Way. A scholar is included among the top collaborators of Rupert Way 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 Rupert Way. Rupert Way 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:

6 of 6 papers shown

1.

Way, Rupert, et al.. (2024). The need for better statistical testing in data-driven energy technology modeling. Joule. 8(9). 2453–2466. 5 indexed citations

2.

Way, Rupert, Matthew C. Ives, Penny Mealy, & J. Doyne Farmer. (2022). Empirically grounded technology forecasts and the energy transition. Joule. 6(9). 2057–2082. 286 indexed citations breakdown →

3.

Meng, Jing, Rupert Way, Elena Verdolini, & Laura Díaz Anadón. (2021). Comparing expert elicitation and model-based probabilistic technology cost forecasts for the energy transition. Proceedings of the National Academy of Sciences. 118(27). 57 indexed citations

4.

Ives, Matthew C., Jerome H. Schiele, Fei Teng, et al.. (2021). A new perspective on decarbonising the global energy system. Oxford University Research Archive (ORA) (University of Oxford). 10 indexed citations

5.

Farmer, J. Doyne, Cameron Hepburn, Matthew C. Ives, et al.. (2019). Sensitive intervention points in the post-carbon transition. Science. 364(6436). 132–134. 148 indexed citations

6.

Way, Rupert, Fabrizio Lillo, & Valentyn Panchenko. (2017). Wright Meets Markowitz: How Standard Portfolio Theory Changes When Assets Are Technologies Following Experience Curves. SSRN Electronic Journal. 8 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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