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Researcher · Obuda University · Hungary

József Kuti

József Kuti publishes mostly in Computational Mathematics, Aerospace Engineering and Artificial Intelligence, on topics such as Tensor decomposition and applications, Inertial Sensor and Navigation and Target Tracking and Data Fusion in Sensor Networks.

ORCID 0000-0003-2795-9783 OpenAlex
World rank
#3,681,904
of 7,710,434 ranked researchers
Rank in Hungary
#7,473
of 25,218
Works
37
Citations
408
Citations per work
11.0
h-index
10
i10-index 10Top 44% in Computational Mathematics
József Kuti

What does József Kuti research?

József Kuti's work is mostly in Engineering (25%), Computer Science (18%), Mathematics (15%).

Physical Sciences: 23 works · 63.0% of their workEngineering: 9 works · 25.0% of their workAerospace Engineering: 6 works · 15.0% of their workControl and Systems Engineering: 4 works · 10.0% of their workComputer Science: 7 works · 18.0% of their workArtificial Intelligence: 4 works · 12.0% of their workComputational Theory and Mathematics: 2 works · 6.0% of their workMathematics: 6 works · 15.0% of their workComputational Mathematics: 6 works · 15.0% of their workPhysics and Astronomy: 2 works · 5.0% of their workStatistical and Nonlinear Physics: 2 works · 5.0% of their workEverything else: 14 works · 37.0% of their workTHEIR WORKJózsef Kuti37works
Physical Sciences63%

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. Engineering925.0%
    2. Computer Science718.0%
    3. Mathematics615.0%
    4. Physics and Astronomy25.0%
  2. Everything else1437.0%
  1. 1Computational Mathematics15% of their works
  2. 2Aerospace Engineering15% of their works
  3. 3Artificial Intelligence12% of their works
  4. 4Control and Systems Engineering10% of their works
  5. 5Computational Theory and Mathematics6% of their works
  6. 6Statistical and Nonlinear Physics5% of their works

Research topics

Which keywords describe József Kuti's research?

The keywords of their largest research topics: Machine Learning, Multilinear Algebra, Tensor Decomposition, Sensor Fusion, Inertial Navigation Systems, Kalman Filtering, Matrix Computations and Nonlinear Estimation.

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 18 words, with their numbers
  1. Machine Learning192 topics
  2. Multilinear Algebra151 topic
  3. Tensor Decomposition151 topic
  4. Sensor Fusion142 topics
  5. Inertial Navigation Systems81 topic
  6. Kalman Filtering81 topic
  7. Matrix Computations61 topic
  8. Nonlinear Estimation61 topic
  9. Numerical Linear Algebra61 topic
  10. Particle Filters61 topic
  11. 3D Mapping51 topic
  12. SLAM51 topic
  13. Deep Learning41 topic
  14. Partial Differential Equations41 topic
  15. Control Systems31 topic
  16. Indoor Localization31 topic
  17. Vehicle Dynamics31 topic
  18. Wireless Sensor Networks31 topic

Where does József Kuti work?

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

How many publications and citations does József Kuti have?

OpenAlex counts 37 works and 408 citations for József Kuti, an h-index of 10, ranking #3,681,904 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.

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