John M. Dolan

6.3k citations
166 papers · 3.9k · h-index 32

Impact in

Papers in

John M. Dolan

152 papers receiving 3.7k citations

Peers

John M. Dolan
Comparison fields: 5 of 119
  • Automotive Engineering 2.2k
  • Computer Vision and Pattern Recognition 1.6k
  • Control and Systems Engineering 1.3k
  • Safety, Risk, Reliability and Quality 312
  • Software 99
Replace Dominique Gruyer with:
Dominique Gruyer France
Myoungho Sunwoo South Korea
Dongpu Cao China
Moritz Werling Germany
Julius Ziegler Germany
Fawzi Nashashibi France
Mehrdad Dianati United Kingdom
Dirk Wollherr Germany
J. Marius Zöllner Germany
Chao Huang China
John M. Dolan relative to Dominique Gruyer France Dominique Gruyer's profile →
Citations per field
00.5×2.5×
Dominique Gruyer · 1×
Citations per year

Countries citing papers authored by John M. Dolan

Since Specialization
Citations

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

Fields of papers citing papers by John M. Dolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014266
2 2011249
3 1993186
4 2012179
5 2013161
6 2019126
7 2018124
8 2017105
9 201393
10 201492
11 201490
12 200989
13 201884
14 201379
15 201072
16 201768
17 201566
18 200863
19 201159
20 201952

About John M. Dolan

John M. Dolan is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 166 papers that have together received 3.9k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (65 papers), Robotic Path Planning Algorithms (39 papers), Traffic control and management (30 papers), Robotics and Sensor-Based Localization (21 papers), Reinforcement Learning in Robotics (19 papers), Modular Robots and Swarm Intelligence (16 papers), Vehicle Dynamics and Control Systems (13 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Automotive Engineering (2.2k citations), Computer Vision and Pattern Recognition (1.6k citations), Control and Systems Engineering (1.3k citations), Safety, Risk, Reliability and Quality (312 citations) and Software (99 citations). John M. Dolan has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Junqing Wei, Matthias Althoff, Bakhtiar Litkouhi, Chiyu Dong, Wenda Xu, Jin Woo Lee, Jarrod Snider, Chris Urmson, Pradeep K. Khosla and Kian Hsiang Low. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Robotics and Automation, Annals of Operations Research and IEEE Robotics & Automation Magazine.

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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