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Researcher · Ivanovo State Power University · Russia

Vladimir Viktorovich Pekunov

Vladimir Viktorovich Pekunov publishes mostly in Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, on topics such as Advanced Data Processing Techniques, Parallel Computing and Optimization Techniques and Natural Language Processing Techniques.

ORCID 0000-0001-9684-861X OpenAlex
World rank
#6,745,536
of 7,710,434 ranked researchers
Rank in Russia
#96,652
of 179,717
Works
14
Citations
8
Citations per work
0.6
h-index
2
i10-index 0Top 99% in Computer Networks and Communications
Vladimir Viktorovich Pekunov

What does Vladimir Viktorovich Pekunov research?

Vladimir Viktorovich Pekunov's work is mostly in Computer Science (53%), Engineering (10%), Mathematics (8%).

Physical Sciences: 10 works · 71.0% of their workComputer Science: 7 works · 52.6% of their workArtificial Intelligence: 3 works · 18.4% of their workComputer Networks and Communications: 3 works · 18.4% of their workHardware and Architecture: 1 works · 10.5% of their workInformation Systems: 1 works · 5.3% of their workEngineering: 1 works · 10.5% of their workControl and Systems Engineering: 1 works · 10.5% of their workMathematics: 1 works · 7.9% of their workNumerical Analysis: 1 works · 7.9% of their workEverything else: 4 works · 29.0% of their workTHEIR WORKVladimirViktorovich…14works
Physical Sciences71%

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 Science752.6%
    2. Engineering110.5%
    3. Mathematics17.9%
  2. Everything else429.0%
  1. 1Computer Networks and Communications18% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Control and Systems Engineering10% of their works
  4. 4Hardware and Architecture10% of their works
  5. 5Numerical Analysis8% of their works
  6. 6Information Systems5% of their works

Research topics

Which keywords describe Vladimir Viktorovich Pekunov's research?

The keywords of their largest research topics: Fault Tolerance, High-Performance Computing, Fuzzy Controller, Redundant Transmission, Parallel Computing, Performance Optimization, Consistency and Distributed 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 18 words, with their numbers
  1. Fault Tolerance62 topics
  2. High-Performance Computing52 topics
  3. Fuzzy Controller41 topic
  4. Redundant Transmission41 topic
  5. Parallel Computing31 topic
  6. Performance Optimization31 topic
  7. Consistency21 topic
  8. Distributed Systems21 topic
  9. Domain-Specific Languages21 topic
  10. Hydrodynamic Processes21 topic
  11. Model-Driven Engineering21 topic
  12. Neural Machine Translation21 topic
  13. Neural Networks21 topic
  14. Numerical Modeling21 topic
  15. Statistical Machine Translation21 topic
  16. Word Representation21 topic
  17. Ontology11 topic
  18. Semantic Web11 topic

Where does Vladimir Viktorovich Pekunov work?

Vladimir Viktorovich Pekunov's main affiliation in the publication record is Ivanovo State Power University, Russia.

How many publications and citations does Vladimir Viktorovich Pekunov have?

OpenAlex counts 14 works and 8 citations for Vladimir Viktorovich Pekunov, an h-index of 2, ranking #6,745,536 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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