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Researcher · Obuda University · Hungary

József K. Tar

József K. Tar publishes mostly in Control and Systems Engineering, Aerospace Engineering and Artificial Intelligence, on topics such as Aerospace Engineering and Control Systems, Aerospace Engineering and Applications and Inertial Sensor and Navigation.

ORCID 0000-0002-5476-401X OpenAlex
World rank
#780,741
of 7,710,434 ranked researchers
Rank in Hungary
#861
of 25,218
Works
334
Citations
2.7k
Citations per work
8.1
h-index
24
i10-index 59Top 8.3% in Control and Systems Engineering
József K. Tar

What does József K. Tar research?

József K. Tar's work is mostly in Engineering (72%), Computer Science (10%).

Physical Sciences: 274 works · 82.1% of their workEngineering: 240 works · 72.0% of their workControl and Systems Engineering: 138 works · 41.3% of their workAerospace Engineering: 80 works · 24.1% of their workMechanical Engineering: 15 works · 4.6% of their workBiomedical Engineering: 7 works · 2.0% of their workComputer Science: 34 works · 10.1% of their workArtificial Intelligence: 27 works · 8.1% of their workComputer Vision and Pattern Recognition: 7 works · 2.0% of their workEverything else: 60 works · 17.9% of their workTHEIR WORKJózsef K. Tar334works
Physical Sciences82%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering24072.0%
    2. Computer Science3410.1%
  2. Everything else6017.9%
  1. 1Control and Systems Engineering41% of their works
  2. 2Aerospace Engineering24% of their works
  3. 3Artificial Intelligence8% of their works
  4. 4Mechanical Engineering5% of their works
  5. 5Computer Vision and Pattern Recognition2% of their works
  6. 6Biomedical Engineering2% of their works

Research topics

Which keywords describe József K. Tar's research?

The keywords of their largest research topics: Adaptive Control, Deep Learning, Autonomous Aerial Refueling, Vision-Based Sensor, Model Reference, Robust Fixed Point Transformations, MEMS Sensors and Nonlinear Systems.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Adaptive Control1722 topics
  2. Deep Learning1662 topics
  3. Autonomous Aerial Refueling1371 topic
  4. Vision-Based Sensor1371 topic
  5. Model Reference1341 topic
  6. Robust Fixed Point Transformations1341 topic
  7. MEMS Sensors822 topics
  8. Nonlinear Systems762 topics
  9. Robust Control702 topics
  10. Control Systems652 topics
  11. Inertial Navigation Systems501 topic
  12. Sensor Fusion501 topic
  13. Disturbance Observer381 topic
  14. Model Predictive Control381 topic
  15. Optimization381 topic
  16. Sliding Mode Control381 topic
  17. Fuzzy Logic Systems331 topic
  18. Type-2 Fuzzy Sets331 topic
  19. Gimbal System321 topic
  20. Inertial Stabilization321 topic
  21. Neural Networks321 topic
  22. Self-Organizing Maps321 topic

Where does József K. Tar work?

József K. Tar's main affiliation in the publication record is Obuda University, Hungary.

How many publications and citations does József K. Tar have?

OpenAlex counts 334 works and 2,707 citations for József K. Tar, an h-index of 24, ranking #780,741 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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