Keith Redmill

85 papers receiving 1.7k citations

Peers

Keith Redmill
Comparison fields: 5 of 98
  • Automotive Engineering 1.0k
  • Control and Systems Engineering 807
  • Computer Vision and Pattern Recognition 565
  • Transportation 159
  • Safety, Risk, Reliability and Quality 198
Replace Arnaud de La Fortelle with:
Arnaud de La Fortelle France
Cristofer Englund Sweden
Yangzhou Chen China
Dezong Zhao United Kingdom
Nan Li United States
Yinguo Li China
Seung‐Woo Seo South Korea
Laura Bieker Germany
Zirui Li China
Jonas Mårtensson Sweden
Keith Redmill relative to Arnaud de La Fortelle France Arnaud de La Fortelle's profile →
Citations per field
00.5×1.7×
Arnaud de La Fortelle · 1×
Citations per year

Countries citing papers authored by Keith Redmill

Since Specialization
Citations

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

Fields of papers citing papers by Keith Redmill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keith Redmill, 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 Keith Redmill Line = papers co-authored together Keith Redmill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003203
2 2016195
3 2007116
4 2022113
5 2021109
6 201291
7
Autonomous Ground Vehicles
201189
8 200955
9 201452
10 201345
11 200243
12 201238
13 202037
14 200436
15 200535
16 200233
17 202128
18 200426
19 201624
20 200223

About Keith Redmill

Keith Redmill is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Building and Construction, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (35 papers), Traffic control and management (21 papers), Vehicular Ad Hoc Networks (VANETs) (12 papers), Traffic and Road Safety (10 papers), Traffic Prediction and Management Techniques (10 papers), Robotic Path Planning Algorithms (8 papers), Robotics and Sensor-Based Localization (8 papers) and Vehicle Dynamics and Control Systems (7 papers). The work is most often cited by research in Automotive Engineering (1.0k citations), Control and Systems Engineering (807 citations), Computer Vision and Pattern Recognition (565 citations), Transportation (159 citations) and Safety, Risk, Reliability and Quality (198 citations). Keith Redmill has collaborated with scholars based in United States, Japan and Türkiye. Frequent co-authors include Ümi̇t Özgüner, Dongfang Yang, C. Hatipoglu, Ekim Yurtsever, Christoph Stiller, Arda Kurt, Tankut Acarman, Haolin Zhang, Benjamin Coifman and Gary M. Gray. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, SAE technical papers on CD-ROM/SAE technical paper series, Journal of Organometallic Chemistry and Transportation Research Part C Emerging Technologies.

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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