Juraj Kabzan

1.0k citations
2 papers · 616 indexed · 2 hit papers · h-index 2
Topics
Advanced Control Systems Optimization (2 papers)Control Systems and Identification (2 papers)Real-time simulation and control systems (1 paper)
Journals
IEEE Robotics and Automation LettersRepository for Publications and Research Data (ETH Zurich)
Partner nations
Switzerland

In The Last Decade

Juraj Kabzan

2 papers receiving 600 citations

Hit Papers

Cautious Model Predictive Control Using Gaussian Process ...201920262021202320202019100200300

Peers

Juraj Kabzan
Comparison fields: 5 of 64
  • Control and Systems Engineering 461
  • Automotive Engineering 176
  • Artificial Intelligence 114
  • Computer Vision and Pattern Recognition 73
  • Mechanical Engineering 58
Replace Dalil Ichalal with:
Dalil Ichalal France
Hyun Duck Choi South Korea
Carlos E.T. Dórea Brazil
Alireza Yazdizadeh Iran
Shuyou Yu China
Kangkang Xu China
Xunhua Dai China
Swaminathan Gopalswamy United States
D. Regruto Italy
Henglai Wei China
Juraj Kabzan relative to Dalil Ichalal France Dalil Ichalal's profile →
Citations per field
00.5×1.5×
Dalil Ichalal · 1×
Citations per year

Countries citing papers authored by Juraj Kabzan

Since Specialization
Citations

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

Fields of papers citing papers by Juraj Kabzan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juraj Kabzan

This figure shows the co-authorship network connecting the top 25 collaborators of Juraj Kabzan. A scholar is included among the top collaborators of Juraj Kabzan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juraj Kabzan. Juraj Kabzan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
#WorkIndexed citations
1
Cautious Model Predictive Control Using Gaussian Process Regressionbreakdown →
333
2
Learning-Based Model Predictive Control for Autonomous Racingbreakdown →
283

About Juraj Kabzan

Juraj Kabzan is a scholar working on Control and Systems Engineering, Artificial Intelligence and Infectious Diseases, having authored 2 papers that have together received 616 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (2 papers), Control Systems and Identification (2 papers) and Real-time simulation and control systems (1 paper). The work is most often cited by research in Control and Systems Engineering (461 citations), Automotive Engineering (176 citations) and Computer Vision and Pattern Recognition (73 citations). Juraj Kabzan has collaborated with scholars based in Switzerland. Frequent co-authors include Melanie N. Zeilinger, Lukas Hewing and Alexander Liniger. Their work appears in journals such as IEEE Robotics and Automation Letters and Repository for Publications and Research Data (ETH Zurich).

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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