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Researcher · Obuda University · Hungary

László Szeidl

László Szeidl publishes mostly in Management Information Systems, Computational Mathematics and Computer Vision and Pattern Recognition, on topics such as Advanced Queuing Theory Analysis, Tensor decomposition and applications and Probability and Risk Models.

OpenAlex
World rank
#2,599,935
of 7,710,434 ranked researchers
Rank in Hungary
#4,525
of 25,218
Works
79
Citations
1.6k
Citations per work
20.3
h-index
16
i10-index 19Top 22% in Management Information Systems
László Szeidl

What does László Szeidl research?

László Szeidl's work is mostly in Mathematics (12%), Business, Management and Accounting (10%), Computer Science (7%).

Everything else: 48 works · 60.8% of their workPhysical Sciences: 19 works · 23.7% of their workMathematics: 9 works · 11.9% of their workComputational Mathematics: 6 works · 7.3% of their workStatistics and Probability: 4 works · 4.6% of their workComputer Science: 5 works · 6.8% of their workComputer Vision and Pattern Recognition: 5 works · 6.8% of their workEngineering: 4 works · 5.0% of their workElectrical and Electronic Engineering: 4 works · 5.0% of their workSocial Sciences: 12 works · 15.5% of their workBusiness, Management and Accounting: 8 works · 10.5% of their workManagement Information Systems: 8 works · 10.5% of their workDecision Sciences: 4 works · 5.0% of their workManagement Science and Operations Research: 4 works · 5.0% of their workTHEIR WORKLászló Szeidl79works
Physical Sciences24%Social Sciences16%

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. Everything else4860.8%
    1. Mathematics911.9%
    2. Computer Science56.8%
    3. Engineering45.0%
    1. Business, Management and Accounting810.5%
    2. Decision Sciences45.0%
  1. 1Management Information Systems10% of their works
  2. 2Computational Mathematics7% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Management Science and Operations Research5% of their works
  5. 5Electrical and Electronic Engineering5% of their works
  6. 6Statistics and Probability5% of their works

Research topics

Which keywords describe László Szeidl's research?

The keywords of their largest research topics: Call Center, Queueing Systems, Multilinear Algebra, Tensor Decomposition, Insurance, Risk, Parameter Estimation and Resource Allocation.

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 16 words, with their numbers
  1. Call Center231 topic
  2. Queueing Systems231 topic
  3. Multilinear Algebra161 topic
  4. Tensor Decomposition161 topic
  5. Insurance101 topic
  6. Risk101 topic
  7. Parameter Estimation81 topic
  8. Resource Allocation81 topic
  9. System Identification81 topic
  10. Wireless Communication81 topic
  11. Biodiversity61 topic
  12. Conservation61 topic
  13. Image Denoising61 topic
  14. Interacting Particle Systems61 topic
  15. Scaling Limits61 topic
  16. Sparse Representations61 topic

Where does László Szeidl work?

László Szeidl's main affiliation in the publication record is Obuda University, Hungary.

How many publications and citations does László Szeidl have?

OpenAlex counts 79 works and 1,606 citations for László Szeidl, an h-index of 16, ranking #2,599,935 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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