Graeme Hill

1.3k total citations
40 papers, 1.0k citations indexed

About

Graeme Hill is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Graeme Hill has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Automotive Engineering, 17 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Graeme Hill's work include Vehicle emissions and performance (16 papers), Electric Vehicles and Infrastructure (15 papers) and Advanced Battery Technologies Research (11 papers). Graeme Hill is often cited by papers focused on Vehicle emissions and performance (16 papers), Electric Vehicles and Infrastructure (15 papers) and Advanced Battery Technologies Research (11 papers). Graeme Hill collaborates with scholars based in United Kingdom, China and Australia. Graeme Hill's co-authors include PT Blythe, Yvonne Hübner, Myriam Neaimeh, Oliver Heidrich, Margaret Bell, Felix Creutzig, Don Scoffield, J.E. Francfort, Shawn Salisbury and Phil Taylor and has published in prestigious journals such as Scientific Reports, Applied Energy and Energy Policy.

In The Last Decade

Graeme Hill

37 papers receiving 970 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Graeme Hill United Kingdom 12 747 651 201 102 84 40 1.0k
Gaston Maggetto Belgium 15 642 0.9× 763 1.2× 137 0.7× 182 1.8× 111 1.3× 58 1.1k
Gonçalo Duarte Portugal 20 322 0.4× 889 1.4× 244 1.2× 81 0.8× 232 2.8× 41 1.0k
Avi Chaim Mersky United States 5 415 0.6× 353 0.5× 271 1.3× 89 0.9× 114 1.4× 7 658
Eric Wood United States 20 1.5k 2.1× 1.7k 2.6× 318 1.6× 167 1.6× 209 2.5× 78 2.0k
Morteza Taiebat United States 13 233 0.3× 443 0.7× 95 0.5× 104 1.0× 200 2.4× 19 849
Burak Sen United States 14 273 0.4× 319 0.5× 123 0.6× 57 0.6× 38 0.5× 21 657
Jeremy Neubauer United States 13 1.3k 1.8× 1.3k 2.0× 182 0.9× 91 0.9× 52 0.6× 26 1.5k
Vetri Elango United States 7 436 0.6× 440 0.7× 146 0.7× 42 0.4× 182 2.2× 25 687
Ran Tu China 18 269 0.4× 668 1.0× 123 0.6× 125 1.2× 180 2.1× 53 909
Mehdi Noori United States 17 638 0.9× 512 0.8× 355 1.8× 62 0.6× 64 0.8× 28 1.1k

Countries citing papers authored by Graeme Hill

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graeme Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Hill. A scholar is included among the top collaborators of Graeme Hill 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 Graeme Hill. Graeme Hill 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.
Li, Shuo, PT Blythe, Simon Edwards, et al.. (2022). Analysing the effect of gender on the human–machine interaction in level 3 automated vehicles. Scientific Reports. 12(1). 11645–11645. 19 indexed citations
2.
Edwards, Stuart, et al.. (2017). Quantifying the impact of a real world cooperative-ITS deployment across multiple cities. Transportation Research Part A Policy and Practice. 115. 102–113. 21 indexed citations
3.
Heidrich, Oliver, et al.. (2017). How do cities support electric vehicles and what difference does it make?. Technological Forecasting and Social Change. 123. 17–23. 68 indexed citations
4.
Hill, Graeme, et al.. (2016). Tracking and Identifying Areas of Stress in RAIL Commuter Journeys Though Eye-Tracking and DATA Fusion. Journal of Transport & Health. 3(2). S31–S31. 1 indexed citations
5.
Allinson, David, Katherine N. Irvine, Jill L. Edmondson, et al.. (2016). Measurement and analysis of household carbon: The case of a UK city. Applied Energy. 164. 871–881. 40 indexed citations
6.
Thorpe, Neil, et al.. (2016). Do new sources of traffic data make the application of Chaos Theory to traffic management a realistic possibility?. Transport Reviews. 36(5). 635–658. 4 indexed citations
7.
Galatioto, Fabio, Margaret Bell, & Graeme Hill. (2014). Understanding the characteristics of the microenvironments in urban street canyons through analysis of pollution measured using a novel pervasive sensor array. Environmental Monitoring and Assessment. 186(11). 7443–7460. 11 indexed citations
8.
Hill, Graeme, et al.. (2014). How does the use of a continuously updating database allow for the analysis of a user's changing behaviour in electric vehicles?. IET Intelligent Transport Systems. 8(1). 36–42. 4 indexed citations
9.
Galatioto, Fabio, et al.. (2012). Evaluation of Carbon Reduction Traffic Measures Employing a Novel Approach to Micro-simulation Modelling of Real-world Emissions. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 1 indexed citations
10.
Blythe, PT, et al.. (2012). Analysis of Electric Vehicle Driver Charging Behaviour and Use of Charging Infrastructure. 4 indexed citations
11.
Galatioto, Fabio, et al.. (2011). Integration of Low-Cost Sensors with UTMC for Assessing Environmental Impacts of Traffic in Urban Area. 2 indexed citations
12.
Bell, Margaret, et al.. (2011). Using an integrated data platform to evaluate the environmental impact of events and ITS interventions. 1 indexed citations
13.
Bell, Margaret, et al.. (2011). Comprehensive analysis of traffic congestion over a decade to evaluate carbon emissions impacts of transport policy.
14.
Blythe, PT, et al.. (2010). Intelligent Infrastructure for Testing and Evaluation of Electric Vehicle Performance. 3 indexed citations
15.
Blythe, PT, et al.. (2010). Intelligent Infrastructure for Testing and Evaluation of Electric Vehicle Performance. School of Computing Science Technical Report Series. 3 indexed citations
16.
Bell, Margaret, et al.. (2009). Sustainable Network Management - The Integration of Intelligent Transport Systems and "Grid Enabled" Pervasive Sensors. 3 indexed citations
17.
Bell, Margaret, Fabio Galatioto, Graeme Hill, & Anil Namdeo. (2009). Modelling environmental impacts of traffic using a new generation of pervasive sensors. 2 indexed citations
18.
Cohen, Jérémy, S. Wilkins, Mark Richards, et al.. (2009). Creating the Message Infrastructure. Traffic engineering & control. 50(11). 480–483. 1 indexed citations
19.
Watson, Paul, et al.. (2009). Data Management for Intelligent Transport System Using Pervasive Sensing. 1 indexed citations
20.
Bell, Margaret, et al.. (2009). Automatic evaluation of environmental impacts of Traffic Demand Management Strategies. 3 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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