Ed Manley

4.4k total citations · 1 hit paper
76 papers, 2.4k citations indexed

About

Ed Manley is a scholar working on Transportation, Automotive Engineering and Building and Construction. According to data from OpenAlex, Ed Manley has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Transportation, 21 papers in Automotive Engineering and 14 papers in Building and Construction. Recurrent topics in Ed Manley's work include Transportation Planning and Optimization (28 papers), Human Mobility and Location-Based Analysis (28 papers) and Urban Transport and Accessibility (27 papers). Ed Manley is often cited by papers focused on Transportation Planning and Optimization (28 papers), Human Mobility and Location-Based Analysis (28 papers) and Urban Transport and Accessibility (27 papers). Ed Manley collaborates with scholars based in United Kingdom, France and Switzerland. Ed Manley's co-authors include Michael Batty, Chen Zhong, Tao Cheng, Gabriele Filomena, Mengdie Zhuang, Vincent C. Emery, Erin Manning, Ingemar J. Cox, Vasileios Lampos and Dominique Heymann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Ed Manley

72 papers receiving 2.3k citations

Hit Papers

Digital technologies in the public-health response to COV... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Manley United Kingdom 23 997 379 350 297 258 76 2.4k
Luca Pappalardo Italy 27 1.2k 1.2× 297 0.8× 180 0.5× 241 0.8× 285 1.1× 73 2.5k
Bruno Lepri Italy 35 894 0.9× 383 1.0× 81 0.2× 178 0.6× 752 2.9× 149 4.0k
Bernd Resch Austria 29 883 0.9× 280 0.7× 77 0.2× 471 1.6× 531 2.1× 151 3.1k
Michael Szell United States 21 1.0k 1.0× 283 0.7× 575 1.6× 153 0.5× 394 1.5× 41 2.5k
Shih‐Lung Shaw United States 36 2.9k 2.9× 780 2.1× 638 1.8× 740 2.5× 398 1.5× 96 4.6k
Yuhao Kang United States 26 928 0.9× 332 0.9× 91 0.3× 625 2.1× 219 0.8× 66 2.3k
Nico Van de Weghe Belgium 32 1.8k 1.8× 371 1.0× 239 0.7× 327 1.1× 263 1.0× 172 3.6k
Linna Li China 26 733 0.7× 210 0.6× 144 0.4× 418 1.4× 315 1.2× 105 2.9k
Yang Yue China 26 2.1k 2.1× 706 1.9× 264 0.8× 776 2.6× 232 0.9× 115 3.2k
Milad Haghani Australia 36 1.1k 1.1× 261 0.7× 204 0.6× 244 0.8× 422 1.6× 118 3.4k

Countries citing papers authored by Ed Manley

Since Specialization
Citations

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

Fields of papers citing papers by Ed Manley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Manley

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Manley. A scholar is included among the top collaborators of Ed Manley 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 Ed Manley. Ed Manley 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
2.
Pham, Hung, et al.. (2025). Reinforcement learning based estimation of shortest paths in dynamically changing transportation networks. SHILAP Revista de lepidopterología. 6. 1 indexed citations
3.
Bastarianto, Faza Fawzan, et al.. (2025). ‘Mind the Gap’—The impact of discrepancies between Google Maps API and reported travel data in the Global South. Case Studies on Transport Policy. 21. 101508–101508. 1 indexed citations
4.
Brunec, Iva K., et al.. (2025). Expert navigators deploy rational complexity–based decision precaching for large-scale real-world planning. Proceedings of the National Academy of Sciences. 122(4). e2407814122–e2407814122. 4 indexed citations
5.
Gould, Myles, et al.. (2025). The Rise and Fall of Twitter Data in Urban Analytics. Findings. 1 indexed citations
6.
Chen, Yan, et al.. (2024). Quantifying city freight mobility segregation associated with truck multi-tours behavior. Sustainable Cities and Society. 113. 105699–105699. 5 indexed citations
7.
Mehran, Babak, et al.. (2024). Optimizing travel costs of feeder-integrated public transport system: A methodology. Transportation Research Interdisciplinary Perspectives. 28. 101289–101289.
8.
Bastarianto, Faza Fawzan, et al.. (2023). Agent-based models in urban transportation: review, challenges, and opportunities. European Transport Research Review. 15(1). 35 indexed citations
9.
Gillings, Rachel, et al.. (2023). The Impact of Spatial Orientation Changes on Driving Behavior in Healthy Aging. The Journals of Gerontology Series B. 79(3). 4 indexed citations
10.
Coutrot, Antoine, Mary Hegarty, Jan Wiener, et al.. (2023). Cultural determinants of the gap between self-estimated navigation ability and wayfinding performance: evidence from 46 countries. Scientific Reports. 13(1). 10844–10844. 12 indexed citations
11.
Coutrot, Antoine, Jan Wiener, Ruth Dalton, et al.. (2023). No link between handedness and spatial navigation: evidence from over 400 000 participants in 41 countries. Proceedings of the Royal Society B Biological Sciences. 290(2008). 20231514–20231514. 2 indexed citations
12.
Manley, Ed, et al.. (2023). A synthetic population for agent-based modelling in Canada. Scientific Data. 10(1). 148–148. 14 indexed citations
13.
Coutrot, Antoine, Alpár S. Lázár, Marcus Richards, et al.. (2022). Reported sleep duration reveals segmentation of the adult life-course into three phases. Nature Communications. 13(1). 7697–7697. 37 indexed citations
14.
Coutrot, Antoine, Ed Manley, Sarah Goodroe, et al.. (2022). Entropy of city street networks linked to future spatial navigation ability. Nature. 604(7904). 104–110. 107 indexed citations
15.
Hobin, Erin, Gillian L. Booth, Kelly Russell, et al.. (2020). Physical activity trails in an urban setting and cardiovascular disease morbidity and mortality in Winnipeg, Manitoba, Canada: a study protocol for a natural experiment. BMJ Open. 10(2). e036602–e036602. 3 indexed citations
16.
Budd, Jobie, Benjamin S. Miller, Erin Manning, et al.. (2020). Digital technologies in the public-health response to COVID-19. Nature Medicine. 26(8). 1183–1192. 693 indexed citations breakdown →
17.
Filomena, Gabriele, Ed Manley, & Judith A. Verstegen. (2019). Route choice through regions by pedestrian agents. Data Archiving and Networked Services (DANS). 3 indexed citations
18.
Herbst, Kobus, et al.. (2019). Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings. JMIR Formative Research. 3(2). e11342–e11342. 19 indexed citations
19.
Zhong, Chen, et al.. (2017). Analysing Interlinked Urban Functions through Mobility Motifs. UCL Discovery (University College London). 1 indexed citations
20.
Manley, Ed & Tao Cheng. (2011). Multi-agent simulation of drivers reactions to unexpected incidents on urban road networks. UCL Discovery (University College London). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026