James M. Fleming

713 citations
43 papers · 540 · h-index 12

Impact in

Papers in

    • Vehicle Dynamics and Control Systems 10
    • Electric and Hybrid Vehicle Technologies 7
    • Vehicle emissions and performance 7
    • Traffic control and management 9
    • Advanced Control Systems Optimization 7
    • Microgrid Control and Optimization 4

James M. Fleming

37 papers receiving 534 citations

Peers

James M. Fleming
Comparison fields: 5 of 33
  • Automotive Engineering 148
  • Control and Systems Engineering 323
  • Safety, Risk, Reliability and Quality 26
  • Social Psychology 42
  • Computer Networks and Communications 24
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Citations per year

Countries citing papers authored by James M. Fleming

Since Specialization
Citations

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

Fields of papers citing papers by James M. Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside James M. Fleming, 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 James M. Fleming Line = papers co-authored together James M. Fleming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 2014114
3 201845
4 202232
5 202030
6 201828
7 201316
8 202116
9 201815
10 201813
11 201412
12
Portable Automobile Data Acquisition Module (ADAM) for naturalistic driving study.
201712
13 201812
14 202112
15 202312
16 20146
17 20185
18 20245
19 20174
20 20173

About James M. Fleming

James M. Fleming is a scholar working on Automotive Engineering, Control and Systems Engineering, Social Psychology, Safety, Risk, Reliability and Quality and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 540 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (10 papers), Traffic control and management (9 papers), Electric and Hybrid Vehicle Technologies (7 papers), Advanced Control Systems Optimization (7 papers), Human-Automation Interaction and Safety (7 papers), Vehicle emissions and performance (7 papers), Microgrid Control and Optimization (4 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Automotive Engineering (148 citations), Control and Systems Engineering (323 citations), Safety, Risk, Reliability and Quality (26 citations), Social Psychology (42 citations) and Computer Networks and Communications (24 citations). James M. Fleming has collaborated with scholars based in United Kingdom, Italy and Australia. Frequent co-authors include Mark Cannon, Basil Kouvaritakis, Xingda Yan, Anh‐Tu Nguyen, Hui Zhang, Craig K. Allison, Neville A. Stanton, Roberto Lot, Taeseong Kim and Christopher Patrick Ward. Their work appears in journals such as Transportation Engineering, IEEE Transactions on Automatic Control, IEEE Transactions on Vehicular Technology, Renewable Energy and IEEE Transactions on Intelligent Transportation Systems.

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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