John M. Dolan
- Automotive Engineering top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 2%
- Aerospace Engineering top 2%
- Co-authors
- Junqing WeiMatthias AlthoffBakhtiar LitkouhiChiyu DongWenda XuJin Woo LeeJarrod SniderChris Urmson
- Topics
- Autonomous Vehicle Technology and Safety (65 papers)Robotic Path Planning Algorithms (39 papers)Traffic control and management (30 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsThe International Journal of Robotics ResearchIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- United StatesChinaSingapore
In The Last Decade
John M. Dolan
152 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 119
- Automotive Engineering 2.2k
- Computer Vision and Pattern Recognition 1.6k
- Control and Systems Engineering 1.3k
- Artificial Intelligence 679
- Aerospace Engineering 523
Countries citing papers authored by John M. Dolan
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
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-authorship network of co-authors of John M. Dolan
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Dolan. A scholar is included among the top collaborators of John M. Dolan 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 John M. Dolan. John M. Dolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 40 | |
| 9 | 126 | |
| 10 | 124 | |
| 11 | 35 | |
| 12 | 17 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 249 | |
| 17 | 18 | |
| 18 | 26 | |
| 19 | 11 | |
| 20 | 63 |
About John M. Dolan
John M. Dolan is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Software, 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) and Traffic control and management (30 papers). The work is most often cited by research in Automotive Engineering (2.2k citations), Computer Vision and Pattern Recognition (1.6k citations) and Control and Systems Engineering (1.3k 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 Mark B. Friedman. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, The International Journal of Robotics Research 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.