R. Tomović

1.6k citations
53 papers · 1.2k · h-index 17

Impact in

Papers in

R. Tomović

49 papers receiving 1.1k citations

Peers

R. Tomović
Comparison fields: 5 of 115
  • Control and Systems Engineering 457
  • Biomedical Engineering 475
  • Mechanical Engineering 339
  • Statistics, Probability and Uncertainty 62
  • Cognitive Neuroscience 149
Replace Sunil L. Kukreja with:
Sunil L. Kukreja United States
Vincenzo Niola Italy
Marco P. Schoen United States
Alexander Leonessa United States
Giacomo Palmieri Italy
Pavel M. Trivailo Australia
Satoshi Ito Japan
Zongwu Xie China
Farbod Fahimi United States
Aiguo Ming Japan
R. Tomović relative to Sunil L. Kukreja United States Sunil L. Kukreja's profile →
Citations per field
00.5×2×3.2×
Sunil L. Kukreja · 1×
Citations per year

Countries citing papers authored by R. Tomović

Since Specialization
Citations

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

Fields of papers citing papers by R. Tomović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973214
2 1962114
3 1989101
4 196690
5 199389
6 201057
7 199552
8 198651
9 201249
10 196641
11 201137
12 200536
13 196632
14 197529
15 202225
16 202020
17 196918
18 202214
19 197812
20 199010

About R. Tomović

R. Tomović is a scholar working on Mechanical Engineering, Control and Systems Engineering, Biomedical Engineering, Mechanics of Materials and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (13 papers), Tribology and Lubrication Engineering (10 papers), Mechanical Engineering and Vibrations Research (8 papers), Muscle activation and electromyography studies (6 papers), Robot Manipulation and Learning (5 papers), Robotic Locomotion and Control (4 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Hydraulic and Pneumatic Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (457 citations), Biomedical Engineering (475 citations), Mechanical Engineering (339 citations), Statistics, Probability and Uncertainty (62 citations) and Cognitive Neuroscience (149 citations). R. Tomović has collaborated with scholars based in Serbia, Montenegro and United States. Frequent co-authors include George A. Bekey, Robert B. McGhee, Dejan B. Popović, Walter J. Karplus, Laszlo B. Schwirtlich, Huan Liu, Milan Banić, Aleksandar Miltenović, Blaža Ž. Stojanović and Sandra Gajević. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Biomedical Engineering, Applied Sciences, International Journal of Mechanical Sciences and Automatica.

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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