John Pye

3.0k total citations
127 papers, 2.2k citations indexed

About

John Pye is a scholar working on Renewable Energy, Sustainability and the Environment, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, John Pye has authored 127 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Renewable Energy, Sustainability and the Environment, 60 papers in Mechanical Engineering and 28 papers in Biomedical Engineering. Recurrent topics in John Pye's work include Solar Thermal and Photovoltaic Systems (80 papers), Photovoltaic System Optimization Techniques (34 papers) and Solar Radiation and Photovoltaics (23 papers). John Pye is often cited by papers focused on Solar Thermal and Photovoltaic Systems (80 papers), Photovoltaic System Optimization Techniques (34 papers) and Solar Radiation and Photovoltaics (23 papers). John Pye collaborates with scholars based in Australia, United States and Cyprus. John Pye's co-authors include Joe Coventry, Alireza Rahbari, Keith Lovegrove, Mahesh B. Venkataraman, Charles-Alexis Asselineau, G. Burgess, Graham Hughes, Ye Wang, Wojciech Lipiński and Juan F. Torres and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

John Pye

121 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Pye Australia 25 1.5k 980 486 364 317 127 2.2k
Bernhard Hoffschmidt Germany 22 1.3k 0.9× 973 1.0× 380 0.8× 221 0.6× 168 0.5× 104 1.9k
Reiner Buck Germany 31 2.3k 1.6× 1.8k 1.8× 563 1.2× 495 1.4× 413 1.3× 125 3.3k
Keith Lovegrove Australia 22 1.1k 0.7× 988 1.0× 428 0.9× 295 0.8× 190 0.6× 51 1.8k
Khosrow Jafarpur Iran 26 1.0k 0.7× 971 1.0× 370 0.8× 188 0.5× 225 0.7× 70 2.1k
D. Santana Spain 29 1.4k 1.0× 1.4k 1.4× 519 1.1× 271 0.7× 251 0.8× 136 2.6k
Douglas T. Reindl United States 20 1.2k 0.8× 939 1.0× 227 0.5× 367 1.0× 1000 3.2× 56 2.5k
Shuang‐Ying Wu China 32 1.8k 1.2× 2.1k 2.1× 415 0.9× 465 1.3× 261 0.8× 137 3.7k
Marco Astolfi Italy 22 779 0.5× 1.6k 1.7× 349 0.7× 415 1.1× 95 0.3× 63 2.3k
Joe Coventry Australia 22 1.8k 1.2× 964 1.0× 229 0.5× 678 1.9× 285 0.9× 89 2.4k
Eduardo Zarza Spain 30 3.4k 2.4× 1.7k 1.7× 436 0.9× 494 1.4× 866 2.7× 71 3.9k

Countries citing papers authored by John Pye

Since Specialization
Citations

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

Fields of papers citing papers by John Pye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Pye

This figure shows the co-authorship network connecting the top 25 collaborators of John Pye. A scholar is included among the top collaborators of John Pye 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 John Pye. John Pye 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.
Wang, Ye, et al.. (2024). AI-aided optimisation and technoeconomic analysis of peaker particle-based concentrated solar power. Solar Energy. 283. 112966–112966. 3 indexed citations
2.
Wang, Ye, et al.. (2024). Design and optimisation of particle-based concentrated solar power tower systems with multi-aperture receiver. Solar Energy. 284. 113020–113020. 2 indexed citations
3.
Cooper, Cyrus, Mark I. Pownceby, Suresh Palanisamy, et al.. (2024). Hydrogen Plasma for Low-Carbon Extractive Metallurgy: Oxides Reduction, Metals Refining, and Wastes Processing. Journal of Sustainable Metallurgy. 10(4). 1845–1894. 10 indexed citations
4.
Shahabuddin, M., et al.. (2024). The performance and charge behaviour in melter/smelter for the production of hot metal in hydrogen DRI-based steelmaking. Ironmaking & Steelmaking Processes Products and Applications. 53(1). 59–70. 7 indexed citations
5.
Shahabuddin, M., et al.. (2024). Process modelling for the production of hydrogen-based direct reduced iron in shaft furnaces using different ore grades. Ironmaking & Steelmaking Processes Products and Applications. 52(1). 3–16. 6 indexed citations
6.
Rahbari, Alireza, et al.. (2024). Solar-thermal sintering of iron ore. Solar Energy. 286. 113123–113123. 2 indexed citations
7.
Picotti, Giovanni, Michael E. Cholette, Ye Wang, et al.. (2024). HelioSoil: A Python Library for Heliostat Soiling Analysis and Cleaning Optimization. SHILAP Revista de lepidopterología. 1. 1 indexed citations
8.
Sánchez, Marcelino, Charles-Alexis Asselineau, Kenneth Armijo, et al.. (2024). SolarPACES Task III Project: Analyze Heliostat Field:. SHILAP Revista de lepidopterología. 2.
9.
Wang, Ye, et al.. (2023). Small-scale concentrated solar power system with thermal energy storage: System-level modelling and techno-economic optimisation. Energy Conversion and Management. 294. 117551–117551. 20 indexed citations
10.
Wang, Shuang, Charles-Alexis Asselineau, Armando Fontalvo, et al.. (2023). Co-optimisation of the heliostat field and receiver for concentrated solar power plants. Applied Energy. 348. 121513–121513. 19 indexed citations
11.
Asselineau, Charles-Alexis, et al.. (2023). Techno-economic assessment of a numbering-up approach for a 100 MWe third generation sodium-salt CSP system. Solar Energy. 263. 111935–111935. 10 indexed citations
12.
Burke, Paul J., Fiona J. Beck, Emma Aisbett, et al.. (2022). Contributing to regional decarbonization: Australia's potential to supply zero-carbon commodities to the Asia-Pacific. Energy. 248. 123563–123563. 32 indexed citations
13.
Rahbari, Alireza, Armando Fontalvo, & John Pye. (2022). Solar-thermal beneficiation of iron ore: System-level dynamic simulation and techno-economic optimisation. Applied Thermal Engineering. 223. 119794–119794. 6 indexed citations
14.
Fontalvo, Armando, et al.. (2022). Techno-economic optimisation of a sodium–chloride salt heat exchanger for concentrating solar power applications. Solar Energy. 239. 252–267. 11 indexed citations
15.
Rahbari, Alireza, et al.. (2021). Solar fuels from supercritical water gasification of algae: Impacts of low-cost hydrogen on reformer configurations. Applied Energy. 288. 116620–116620. 37 indexed citations
16.
Rahbari, Alireza, et al.. (2021). Methanol fuel production from solar-assisted supercritical water gasification of algae: a techno-economic annual optimisation. Sustainable Energy & Fuels. 5(19). 4913–4931. 6 indexed citations
17.
Wheeler, Vincent M., et al.. (2020). Reduction of iron–manganese oxide particles in a lab-scale packed-bed reactor for thermochemical energy storage. Chemical Engineering Science. 221. 115700–115700. 21 indexed citations
18.
19.
Coventry, Joe, Jonathan A. Campbell, Colin Hall, et al.. (2016). Heliostat Cost Down Scoping Study - Final Report. eCite Digital Repository (University of Tasmania). 21 indexed citations
20.
Schwartz, D., Michael Garcia, Maureen A. Conroy, et al.. (1980). Precise Location of 3A 2352+28: The High Galactic Latitude Transient A0000+28. Bulletin of the American Astronomical Society. 12. 513. 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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