Milan Simić
Impact in
- Automotive Engineering top 1%
- Autonomous Vehicle Technology and Safety
- Vehicle Dynamics and Control Systems
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- Robotic Path Planning Algorithms
Papers in
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- Vehicle Dynamics and Control Systems 11
- Autonomous Vehicle Technology and Safety 8
- Transportation and Mobility Innovations 7
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- Control and Dynamics of Mobile Robots 9
- Co-authors
- Mohamed Elbanhawi (18 shared papers)Reza Nakhaie Jazar (18 shared papers)Pavel M. Trivailo (9 shared papers)Madiha Tariq (8 shared papers)Cees Bil (5 shared papers)Vuk Vojisavljević (3 shared papers)Dragan S. Povrenović (1 shared paper)Vele Tešević (1 shared paper)
In The Last Decade
Milan Simić
130 papers receiving 2.7k citations
Milan Simić's Hit Papers
Peers
Comparison fields: 5 of 167
- Automotive Engineering 627
- Computer Vision and Pattern Recognition 903
- Control and Systems Engineering 742
- Aerospace Engineering 521
- Human-Computer Interaction 110
Countries citing papers authored by Milan Simić
This map shows the geographic impact of Milan Simić'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 Milan Simić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milan Simić more than expected).
Fields of papers citing papers by Milan Simić
This network shows the impact of papers produced by Milan Simić. 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 Milan Simić. The network helps show where Milan Simić may publish in the future.
Co-authors
The 25 scholars most cited alongside Milan Simić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sampling-Based Robot Motion Planning: A Review Hit paper breakdown → | 2014 | 594 |
| 2 | 2015 | 268 | |
| 3 | 2018 | 191 | |
| 4 | 2015 | 157 | |
| 5 | 2005 | 151 | |
| 6 | 2015 | 115 | |
| 7 | 2016 | 99 | |
| 8 | 2015 | 75 | |
| 9 | 2003 | 69 | |
| 10 | 2017 | 52 | |
| 11 | 2020 | 45 | |
| 12 | 2002 | 43 | |
| 13 | 2011 | 42 | |
| 14 | 2017 | 35 | |
| 15 | 2020 | 30 | |
| 16 | 1998 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2014 | 26 | |
| 19 | 2004 | 25 | |
| 20 | 2019 | 22 |
About Milan Simić
Milan Simić is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace Engineering, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (17 papers), Vehicle Dynamics and Control Systems (11 papers), Control and Dynamics of Mobile Robots (9 papers), Robotics and Sensor-Based Localization (9 papers), EEG and Brain-Computer Interfaces (9 papers), Autonomous Vehicle Technology and Safety (8 papers), Electric Vehicles and Infrastructure (7 papers) and Transportation and Mobility Innovations (7 papers). The work is most often cited by research in Automotive Engineering (627 citations), Computer Vision and Pattern Recognition (903 citations), Control and Systems Engineering (742 citations), Aerospace Engineering (521 citations) and Human-Computer Interaction (110 citations). Milan Simić has collaborated with scholars based in Australia, Serbia and China. Frequent co-authors include Mohamed Elbanhawi, Reza Nakhaie Jazar, Pavel M. Trivailo, Madiha Tariq, Cees Bil, Vuk Vojisavljević, Dragan S. Povrenović, Vele Tešević, Sveto RAKIC and Radojka Maletić. Their work appears in journals such as Journal of Forensic Sciences, Journal of Chromatography A, Journal of Vibration and Control, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and American Journal of Forensic Medicine & Pathology.
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.