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Researcher · Palacký University Olomouc · Czechia

Martin Trnečka

Martin Trnečka publishes mostly in Computational Theory and Mathematics, Artificial Intelligence and Information Systems, on topics such as Rough Sets and Fuzzy Logic, Data Mining Algorithms and Applications and Bayesian Modeling and Causal Inference.

ORCID 0000-0001-7770-2033 OpenAlex
World rank
#4,905,696
of 7,710,434 ranked researchers
Rank in Czechia
#16,593
of 39,303
Works
57
Citations
350
Citations per work
6.1
h-index
9
i10-index 9Top 50% in Computational Theory and Mathematics
Martin Trnečka

What does Martin Trnečka research?

Martin Trnečka's work is mostly in Computer Science (68%), Biochemistry, Genetics and Molecular Biology (7%).

Physical Sciences: 39 works · 68.3% of their workComputer Science: 39 works · 68.3% of their workComputational Theory and Mathematics: 13 works · 23.2% of their workArtificial Intelligence: 11 works · 19.9% of their workInformation Systems: 6 works · 9.9% of their workComputer Vision and Pattern Recognition: 5 works · 9.3% of their workSignal Processing: 3 works · 6.0% of their workEverything else: 14 works · 24.4% of their workLife Sciences: 4 works · 7.3% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 7.3% of their workMolecular Biology: 4 works · 7.3% of their workTHEIR WORKMartin Trnečka57works
Life Sciences7%Physical Sciences68%

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. Computer Science3968.3%
  2. Everything else1424.4%
    1. Biochemistry, Genetics and Molecular Biology47.3%
  1. 1Computational Theory and Mathematics23% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Information Systems10% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Molecular Biology7% of their works
  6. 6Signal Processing6% of their works

Research topics

Which keywords describe Martin Trnečka's research?

The keywords of their largest research topics: Machine Learning, Granular Computing, Rough Sets, Data Mining, Frequent Patterns, Bayesian Networks, Causal Inference and GPS Trajectories.

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.

All 17 words, with their numbers
  1. Machine Learning334 topics
  2. Granular Computing261 topic
  3. Rough Sets261 topic
  4. Data Mining151 topic
  5. Frequent Patterns151 topic
  6. Bayesian Networks91 topic
  7. Causal Inference91 topic
  8. GPS Trajectories91 topic
  9. Multilinear Algebra91 topic
  10. Tensor Decomposition91 topic
  11. Trajectory Data Mining91 topic
  12. Compression61 topic
  13. Suffix Arrays61 topic
  14. Content-Based Image Retrieval51 topic
  15. Shape Matching51 topic
  16. Bioimage Analysis41 topic
  17. High-Content Screening41 topic

Where does Martin Trnečka work?

Martin Trnečka's main affiliation in the publication record is Palacký University Olomouc, Czechia.

How many publications and citations does Martin Trnečka have?

OpenAlex counts 57 works and 350 citations for Martin Trnečka, an h-index of 9, ranking #4,905,696 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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