József K. Tar
- Control and Systems Engineering top 0.5%
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Radu‐Emil PrecupȘtefan PreitlImre J. RudasJ.F. BitóJ. A. Tenreiro MachadoMarius L. TomescuClaudiu PoznaMárta Takács
- Topics
- Aerospace Engineering and Control Systems (94 papers)Aerospace Engineering and Applications (92 papers)Inertial Sensor and Navigation (33 papers)
- Journals
- IEEE Transactions on Industrial ElectronicsJournal of the Franklin InstituteKnowledge-Based Systems
- Partner nations
- HungaryRomaniaUnited States
In The Last Decade
József K. Tar
198 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Control and Systems Engineering 1.4k
- Aerospace Engineering 640
- Artificial Intelligence 315
- Mechanical Engineering 251
- Computer Vision and Pattern Recognition 173
Countries citing papers authored by József K. Tar
This map shows the geographic impact of József K. Tar'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 József K. Tar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József K. Tar more than expected).
Fields of papers citing papers by József K. Tar
This network shows the impact of papers produced by József K. Tar. 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 József K. Tar. The network helps show where József K. Tar may publish in the future.
Co-authorship network of co-authors of József K. Tar
This figure shows the co-authorship network connecting the top 25 collaborators of József K. Tar. A scholar is included among the top collaborators of József K. Tar 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 József K. Tar. József K. Tar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 29 | |
| 15 | 21 | |
| 16 | Robotics Applications Based on Merged Physical and Virtual Reality | 2 |
| 17 | Robust fixed point transformations in adaptive control using local basin of attraction | 102 |
| 18 | 52 | |
| 19 | 6 | |
| 20 | Use of Multi-parametric Quadratic Programming in Fuzzy Control Systems | 79 |
About József K. Tar
József K. Tar is a scholar working on Control and Systems Engineering, Aerospace Engineering and Computational Mathematics, having authored 222 papers that have together received 1.9k indexed citations. Recurring topics across this work include Aerospace Engineering and Control Systems (94 papers), Aerospace Engineering and Applications (92 papers) and Inertial Sensor and Navigation (33 papers). The work is most often cited by research in Computational Mathematics (44 citations), Control and Systems Engineering (1.4k citations) and Aerospace Engineering (640 citations). József K. Tar has collaborated with scholars based in Hungary, Romania and United States. Frequent co-authors include Radu‐Emil Precup, Ștefan Preitl, Imre J. Rudas, J.F. Bitó, J. A. Tenreiro Machado, Marius L. Tomescu, Claudiu Pozna, Márta Takács, Emil M. Petriu and Annamária R. Várkonyi-Kóczy. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Journal of the Franklin Institute and Knowledge-Based Systems.
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.