Peter Pudney

61 papers receiving 1.9k citations

Peers

Peter Pudney
Comparison fields: 5 of 63
  • Transportation 1.1k
  • Industrial and Manufacturing Engineering 1.5k
  • Mechanical Engineering 1.2k
  • Automotive Engineering 321
  • Building and Construction 147
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Ning Zhao United Kingdom
Antonio Fernández-Cardador Spain
Asunción P. Cucala Spain
Xiaoyun Feng China
Masafumi Miyatake Japan
Luca D’Acierno Italy
Т.K. Ho Hong Kong
Egidio Quaglietta Netherlands
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Citations per year

Countries citing papers authored by Peter Pudney

Since Specialization
Citations

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

Fields of papers citing papers by Peter Pudney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Pudney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Pudney Line = papers co-authored together Peter Pudney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009326
2 2015232
3 1993190
4 2015173
5 2013159
6 1994152
7 1995118
8 199471
9 201541
10 202238
11 201734
12 201731
13 202028
14 201525
15 201125
16 201821
17 201821
18 202020
19 200219
20
Energy-efficient Operation of Long-haul Trains
198916

About Peter Pudney

Peter Pudney is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Transportation, Electrical and Electronic Engineering and Automotive Engineering, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (33 papers), Transportation Planning and Optimization (22 papers), Railway Engineering and Dynamics (21 papers), Smart Grid Energy Management (7 papers), Vehicle emissions and performance (5 papers), Solar Thermal and Photovoltaic Systems (5 papers), Electric Vehicles and Infrastructure (4 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Transportation (1.1k citations), Industrial and Manufacturing Engineering (1.5k citations), Mechanical Engineering (1.2k citations), Automotive Engineering (321 citations) and Building and Construction (147 citations). Peter Pudney has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Phil Howlett, Xuan Vu, Amie Albrecht, IP Milroy, Peng Zhou, John Boland, Frank Bruno, Martin Belusko, Lesley A. Ward and David Whaley. Their work appears in journals such as Journal of Rail Transport Planning & Management, Transportation Research Part B Methodological, Solar Energy, Automatica and Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A.

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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