Boyko Iliev

470 citations
36 papers · 353 · h-index 11

Impact in

Papers in

Boyko Iliev

35 papers receiving 318 citations

Peers

Boyko Iliev
Comparison fields: 5 of 52
  • Control and Systems Engineering 254
  • Human-Computer Interaction 52
  • Artificial Intelligence 111
  • Biomedical Engineering 137
  • Computer Vision and Pattern Recognition 64
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Andreas ten Pas United States
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Citations per field
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Citations per year

Countries citing papers authored by Boyko Iliev

Since Specialization
Citations

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

Fields of papers citing papers by Boyko Iliev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Boyko Iliev, 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 Boyko Iliev Line = papers co-authored together Boyko Iliev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200848
2 200731
3 201028
4 200628
5 200726
6 200826
7 200924
8 200622
9 201212
10 200711
11
Minimum-time sliding mode control of robot manipulators
200211
12 20089
13 20028
14
Demonstration based learning and control for automatic grasping
20078
15
Real life grasping using an under-actuated robot hand - Simulation and experiments
20097
16 20037
17
Recognition and Teaching of Robot Skills by Fuzzy Time-Modeling
20094
18 20034
19 20024
20
Extraction of grasp-related features by human dual-hand object exploration
20094

About Boyko Iliev

Boyko Iliev is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 353 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Robotic Mechanisms and Dynamics (12 papers), Fuzzy Logic and Control Systems (8 papers), Adaptive Control of Nonlinear Systems (6 papers), Hand Gesture Recognition Systems (6 papers), Robotic Path Planning Algorithms (4 papers), Soft Robotics and Applications (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Control and Systems Engineering (254 citations), Human-Computer Interaction (52 citations), Artificial Intelligence (111 citations), Biomedical Engineering (137 citations) and Computer Vision and Pattern Recognition (64 citations). Boyko Iliev has collaborated with scholars based in Sweden, Canada and France. Frequent co-authors include Rainer Palm, Peter Wide, Jan Wikander, Danica Kragić, Dimitar Dimitrov, Staffan Ekvall, Roland Krug, Robert Krug, P. Bergsten and Dimiter Driankov. Their work appears in journals such as Robotics and Autonomous Systems, International Journal of Human-Computer Studies, Fuzzy Sets and Systems, Intelligent Service Robotics and Electronics Letters.

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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