Miloš Žefran

2.6k citations
111 papers · 1.8k indexed · h-index 25

Miloš Žefran

107 papers receiving 1.7k citations

Peers

Miloš Žefran
Comparison fields: 5 of 99
  • General Dentistry 118
  • Control and Systems Engineering 940
  • Computer Vision and Pattern Recognition 392
  • Human-Computer Interaction 98
  • Biomedical Engineering 439
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Bingwei He China
Huihuan Qian China
Sven Parusel Germany
Richard M. Voyles United States
Qing Gao China
Ruediger Dillmann Germany
Charles Baur Switzerland
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Tadayoshi Aoyama Japan
Anas Tahir Qatar
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Citations per field
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Citations per year

Countries citing papers authored by Miloš Žefran

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Žefran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20242
4 20240
5 20242
6 20231
7 20229
8 201815
9 201662
10 20159
11
Comparison of Multi-Parametric Programming, Mixed-Integer Programming, Gradient Descent Based, Hybrid Minimum Principle, and the Embedding Approach on Six Published Hybrid Optimal Control Examples
20121
12
Towards Effective Communication with Robotic Assistants for the Elderly: Integrating Speech, Vision and Haptics
20107
13 200920
14 200817
15 200784
16 20073
17
Haptic Playback: Modeling, Controller Design, and Stability Analysis
20065
18 200436
19
Stable haptic interaction with switched virtual environment.
20031
20 20023

About Miloš Žefran

Miloš Žefran is a scholar working on Control and Systems Engineering, General Dentistry and Human-Computer Interaction, having authored 111 papers that have together received 1.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (24 papers), Robotic Mechanisms and Dynamics (15 papers), Control and Dynamics of Mobile Robots (15 papers), Motor Control and Adaptation (15 papers), Robotic Locomotion and Control (15 papers), Robotic Path Planning Algorithms (14 papers), Muscle activation and electromyography studies (13 papers) and Distributed Control Multi-Agent Systems (12 papers). The work is most often cited by research in General Dentistry (118 citations), Control and Systems Engineering (940 citations) and Computer Vision and Pattern Recognition (392 citations). Miloš Žefran has collaborated with scholars based in United States, Slovenia and Hungary. Frequent co-authors include Francesco Bullo, Christopher B. Croke, Vijay Kumar, V. Kumar, Vijay Kumar, Philip G. Bashook, Raymond A. DeCarlo, Arnold D. Steinberg, James L. Drummond and Joel W. Burdick. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Automatic Control, IEEE Transactions on Robotics, The International Journal of Robotics Research and Journal of Dental Education.

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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