James Glynn

2.2k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

James Glynn is a scholar working on Renewable Energy, Sustainability and the Environment, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, James Glynn has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Renewable Energy, Sustainability and the Environment, 15 papers in Economics and Econometrics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in James Glynn's work include Climate Change Policy and Economics (12 papers), Integrated Energy Systems Optimization (9 papers) and Global Energy and Sustainability Research (9 papers). James Glynn is often cited by papers focused on Climate Change Policy and Economics (12 papers), Integrated Energy Systems Optimization (9 papers) and Global Energy and Sustainability Research (9 papers). James Glynn collaborates with scholars based in Ireland, United States and United Kingdom. James Glynn's co-authors include Brian Ó Gallachóir, Laurent Drouet, Alexandre C. Köberle, Ajay Gambhir, Massimo Tavoni, Adam Hawkes, Hancheng Dai, Shivika Mittal, Paul Holloway and P.R. Shukla and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

James Glynn

28 papers receiving 1.2k citations

Hit Papers

An inter-model assessment of the role of direct air captu... 2019 2026 2021 2023 2019 100 200 300
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.

  1. An inter-model assessment of the role of direct air capture in deep mitigation pathways
    2019 376 citations Laurent Drouet, Ajay Gambhir et al. Nature Communications profile →

Peers

James Glynn
Jia-Ning Kang China
Peter Viebahn Germany
Davide D’Ambrosio Italy
Shivika Mittal United Kingdom
Uwe Remme Germany
Brent Wanner France
Stéphanie Bouckaert France
Shu Zhang China
Pingkuo Liu China
Jia-Ning Kang China
James Glynn
Citations per year, relative to James Glynn James Glynn (= 1×) peers Jia-Ning Kang

Countries citing papers authored by James Glynn

Since Specialization
Citations

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

Fields of papers citing papers by James Glynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Glynn

This figure shows the co-authorship network connecting the top 25 collaborators of James Glynn. A scholar is included among the top collaborators of James Glynn 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 James Glynn. James Glynn 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.
Aryanpur, Vahid, et al.. (2024). Implications of accelerated and delayed climate action for Ireland’s energy transition under carbon budgets. SHILAP Revista de lepidopterología. 3(1). 97–97.
2.
Zakeri, Behnam, Shivika Mittal, Alessio Mastrucci, et al.. (2024). Global high-resolution growth projections dataset for rooftop area consistent with the shared socioeconomic pathways, 2020–2050. Scientific Data. 11(1). 563–563. 4 indexed citations
3.
Glynn, James, et al.. (2023). Introduction. 4(4). 1–14.
4.
Gallachóir, Brian Ó, et al.. (2023). A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways. Scientific Reports. 13(1). 3522–3522. 2 indexed citations
5.
Glynn, James. (2023). The “Cinematic Promise” of Video Game Music. 4(4). 108–138. 2 indexed citations
6.
Revez, Alexandra, Niall Dunphy, Clodagh Harris, et al.. (2022). Mapping emergent public engagement in societal transitions: a scoping review. Energy Sustainability and Society. 12(1). 2–2. 20 indexed citations
7.
Balyk, Olexandr, James Glynn, Vahid Aryanpur, et al.. (2022). TIM: modelling pathways to meet Ireland's long-term energy system challenges with the TIMES-Ireland Model (v1.0). Geoscientific model development. 15(12). 4991–5019. 14 indexed citations
8.
Aryanpur, Vahid, Olexandr Balyk, Hannah Daly, Brian Ó Gallachóir, & James Glynn. (2022). Decarbonisation of passenger light-duty vehicles using spatially resolved TIMES-Ireland Model. Applied Energy. 316. 119078–119078. 25 indexed citations
9.
Gaur, Ankita, Olexandr Balyk, James Glynn, John Curtis, & Hannah Daly. (2022). Low Energy Demand Scenario for Feasible Deep Decarbonisation: Whole Energy Systems Modelling for Ireland. SSRN Electronic Journal.
10.
Aryanpur, Vahid, et al.. (2022). How energy subsidy reform can drive the Iranian power sector towards a low-carbon future. Energy Policy. 169. 113190–113190. 22 indexed citations
11.
Gaur, Ankita, Olexandr Balyk, James Glynn, John Curtis, & Hannah Daly. (2022). Low energy demand scenario for feasible deep decarbonisation: Whole energy systems modelling for Ireland. SHILAP Revista de lepidopterología. 2. 100024–100024. 22 indexed citations
12.
Balyk, Olexandr, James Glynn, Vahid Aryanpur, et al.. (2021). TIM: Modelling pathways to meet Ireland’s long-term energy system challenges with the TIMES-Ireland Model (v1.0). 3 indexed citations
13.
Mittal, Shivika, et al.. (2021). High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation. Nature Communications. 12(1). 5738–5738. 153 indexed citations
14.
Chen, Wenying, et al.. (2021). Modelling low carbon transition and economic impacts under SSPs and RCPs based on GTIMES. Advances in Climate Change Research. 12(6). 858–870. 5 indexed citations
15.
Aryanpur, Vahid, Brian Ó Gallachóir, Hancheng Dai, Wenying Chen, & James Glynn. (2021). A review of spatial resolution and regionalisation in national-scale energy systems optimisation models. Energy Strategy Reviews. 37. 100702–100702. 65 indexed citations
16.
Ren, Ming, Xiaorui Liu, M.S. Hossain, et al.. (2021). Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality. Applied Energy. 298. 117209–117209. 228 indexed citations
17.
18.
Drouet, Laurent, Ajay Gambhir, James Glynn, et al.. (2020). Reply to “High energy and materials requirement for direct air capture calls for further analysis and R&D”. Nature Communications. 11(1). 3286–3286. 15 indexed citations
19.
Kypreos, Socrates, James Glynn, Evangelos Panos, George Giannakidis, & Brian Ó Gallachóir. (2018). Efficient and Equitable Climate Change Policies. Systems. 6(2). 10–10.
20.
Glynn, James. (2006). Design of Biomimetic Passive Control for Optimisation of Oscillating Hydrofoils in Tidal Energy Capture. 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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