Gregor Klančar

1.7k citations
68 papers · 1.2k · h-index 17

Impact in

Papers in

Gregor Klančar

64 papers receiving 1.2k citations

Peers

Gregor Klančar
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 759
  • Control and Systems Engineering 812
  • Automotive Engineering 159
  • Aerospace Engineering 274
  • Computer Networks and Communications 131
Replace Sergei Lupashin with:
Sergei Lupashin Switzerland
Elia Kaufmann Switzerland
Markus Hehn Switzerland
Mark W. Mueller United States
Florent Lamiraux France
Jie Pan China
Andrej Babinec Slovakia
Anthony Stentz United States
Christoph Sprunk Germany
Isabelle Fantoni France
Gregor Klančar relative to Sergei Lupashin Switzerland Sergei Lupashin's profile →
Citations per field
00.5×1.5×2.3×
Sergei Lupashin · 1×
Citations per year

Countries citing papers authored by Gregor Klančar

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Klančar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007309
2 2003120
3 200968
4 200861
5 201060
6 201060
7 200946
8 201041
9 200541
10 200431
11 201525
12 201925
13 201024
14 201620
15 201919
16 200719
17 201816
18 201315
19 202314
20 200714

About Gregor Klančar

Gregor Klančar is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (41 papers), Control and Dynamics of Mobile Robots (35 papers), Robotics and Sensor-Based Localization (17 papers), Robotic Mechanisms and Dynamics (11 papers), Robotic Locomotion and Control (8 papers), Advanced Vision and Imaging (7 papers), Space Satellite Systems and Control (6 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (759 citations), Control and Systems Engineering (812 citations), Automotive Engineering (159 citations), Aerospace Engineering (274 citations) and Computer Networks and Communications (131 citations). Gregor Klančar has collaborated with scholars based in Slovenia, Croatia and France. Frequent co-authors include Igor Škrjanc, Sašo Blažič, Drago Matko, Marija Seder, Matej Kristan, Michel Dambrine, Jimmy Lauber, Gašper Mušič, R. Karba and Borut Zupančič. Their work appears in journals such as Robotics and Autonomous Systems, Journal of Intelligent & Robotic Systems, Sensors, ISA Transactions and International Journal of Systems Science.

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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