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Researcher · National University of Food Technologies · Ukraine

Viktor Sidletskyi

Viktor Sidletskyi publishes mostly in Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Advanced Data Processing Techniques, Advanced Control Systems Optimization and Advanced Power Generation Technologies.

ORCID 0000-0003-2606-3651 OpenAlex
World rank
#6,794,013
of 7,710,434 ranked researchers
Rank in Ukraine
#29,898
of 46,931
Works
16
Citations
24
Citations per work
1.5
h-index
4
i10-index 0Top 87% in Control and Systems Engineering
Viktor Sidletskyi

What does Viktor Sidletskyi research?

Viktor Sidletskyi's work is mostly in Engineering (51%), Computer Science (13%), Environmental Science (8%).

Physical Sciences: 12 works · 71.9% of their workEngineering: 8 works · 51.4% of their workControl and Systems Engineering: 6 works · 38.5% of their workElectrical and Electronic Engineering: 2 works · 10.3% of their workIndustrial and Manufacturing Engineering: 0 works · 2.6% of their workComputer Science: 2 works · 12.8% of their workArtificial Intelligence: 2 works · 12.8% of their workEnvironmental Science: 1 works · 7.7% of their workWater Science and Technology: 1 works · 7.7% of their workEverything else: 4 works · 23.0% of their workLife Sciences: 1 works · 5.1% of their workAgricultural and Biological Sciences: 1 works · 5.1% of their workFood Science: 1 works · 5.1% of their workTHEIR WORKViktor Sidletskyi16works
Life Sciences5%Physical Sciences72%

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. Engineering851.4%
    2. Computer Science212.8%
    3. Environmental Science17.7%
  2. Everything else423.0%
    1. Agricultural and Biological Sciences15.1%
  1. 1Control and Systems Engineering38% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Electrical and Electronic Engineering10% of their works
  4. 4Water Science and Technology8% of their works
  5. 5Food Science5% of their works
  6. 6Industrial and Manufacturing Engineering3% of their works

Research topics

Which keywords describe Viktor Sidletskyi's research?

The keywords of their largest research topics: Energy Efficiency, Climate Change, Fuzzy Controller, Redundant Transmission, Environmental Monitoring, Machine Learning, Model Predictive Control and Optimization.

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 20 words, with their numbers
  1. Energy Efficiency92 topics
  2. Climate Change62 topics
  3. Fuzzy Controller61 topic
  4. Redundant Transmission61 topic
  5. Environmental Monitoring52 topics
  6. Machine Learning42 topics
  7. Model Predictive Control41 topic
  8. Optimization41 topic
  9. Steam Generation31 topic
  10. Sustainability31 topic
  11. Thermal Conductivity31 topic
  12. Water Treatment31 topic
  13. Fault Detection21 topic
  14. GMDH-type Neural Networks21 topic
  15. Inductive Modeling21 topic
  16. Process Monitoring21 topic
  17. Condition Monitoring11 topic
  18. Food Production11 topic
  19. Food Quality11 topic
  20. Mathematical Modeling11 topic

Where does Viktor Sidletskyi work?

Viktor Sidletskyi's main affiliation in the publication record is National University of Food Technologies, Ukraine.

How many publications and citations does Viktor Sidletskyi have?

OpenAlex counts 16 works and 24 citations for Viktor Sidletskyi, an h-index of 4, ranking #6,794,013 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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