Milan Simić

97 papers receiving 2.3k citations

Milan Simić's Hit Papers

Sampling-Based Robot Motion Planning: A Review 2014 · 534 citations
5340+4+8Years since publication100200300400500

Peers

Milan Simić
Comparison fields: 5 of 166
  • Automotive Engineering 494
  • Computer Vision and Pattern Recognition 801
  • Control and Systems Engineering 616
  • Aerospace Engineering 492
  • Human-Computer Interaction 98
Replace Kai Huang with:
Kai Huang China
Jamshed Iqbal Pakistan
Mohammad Hamiruce Marhaban Malaysia
Bo Tao China
Yanan Li China
Donghan Kim South Korea
Atsushi Shimada Japan
M. O. Tokhi United Kingdom
Rong Xiong China
Masayuki Fujita Japan
Milan Simić relative to Kai Huang China Kai Huang's profile →
Citations per field
00.5×3.2×
Kai Huang · 1×
Citations per year

Countries citing papers authored by Milan Simić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Milan Simić Line = papers co-authored together Milan Simić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sampling-Based Robot Motion Planning: A Review
Hit paper breakdown →
2014534
2 2015228
3 2018166
4 2015143
5 2005143
6 2015109
7 201688
8 201564
9 200363
10 201748
11 202040
12 200239
13 201136
14 201728
15 201526
16 199825
17 200424
18 201722
19 201421
20 201519

About Milan Simić

Milan Simić is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering and Mechanical Engineering, having authored 107 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), EEG and Brain-Computer Interfaces (9 papers), Robotics and Sensor-Based Localization (8 papers), Neuroscience and Neural Engineering (7 papers), Control and Dynamics of Mobile Robots (7 papers), Vehicle Dynamics and Control Systems (5 papers), Muscle activation and electromyography studies (5 papers) and Electric Vehicles and Infrastructure (5 papers). The work is most often cited by research in Automotive Engineering (494 citations), Computer Vision and Pattern Recognition (801 citations), Control and Systems Engineering (616 citations), Aerospace Engineering (492 citations) and Human-Computer Interaction (98 citations). Milan Simić has collaborated with scholars based in Australia, Serbia and Croatia. Frequent co-authors include Mohamed Elbanhawi, Reza N. Jazar, Pavel M. Trivailo, Madiha Tariq, Cees Bil, Vuk Vojisavljević, Vele Tešević, S. Rakić, Radojka Maletić and Dragan Povrenović. Their work appears in journals such as Journal of Forensic Sciences, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, American Journal of Forensic Medicine & Pathology, Forensic Science International and Journal of Vibration and Control.

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.

Explore authors with similar magnitude of impact