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Researcher · Plekhanov Russian University of Economics · Russia

Irina Valerievna Pustokhina

Irina Valerievna Pustokhina publishes mostly in Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, on topics such as IoT and Edge/Fog Computing, Blockchain Technology Applications and Security and Stock Market Forecasting Methods.

ORCID 0000-0001-5480-8871 OpenAlex
World rank
#444,263
of 7,710,434 ranked researchers
Rank in Russia
#924
of 179,717
Works
86
Citations
2.3k
Citations per work
26.2
h-index
26
i10-index 43Top 7.1% in Artificial Intelligence
Irina Valerievna Pustokhina

What does Irina Valerievna Pustokhina research?

Irina Valerievna Pustokhina's work is mostly in Computer Science (37%), Engineering (10%).

Everything else: 46 works · 53.0% of their workPhysical Sciences: 40 works · 47.0% of their workComputer Science: 32 works · 36.8% of their workArtificial Intelligence: 11 works · 12.4% of their workComputer Networks and Communications: 9 works · 10.6% of their workComputer Vision and Pattern Recognition: 7 works · 8.0% of their workInformation Systems: 5 works · 5.8% of their workEngineering: 9 works · 10.2% of their workElectrical and Electronic Engineering: 5 works · 6.2% of their workBuilding and Construction: 3 works · 4.0% of their workTHEIR WORKIrina ValerievnaPustokhina86works
Physical Sciences47%

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 else4653.0%
    1. Computer Science3236.8%
    2. Engineering910.2%
  1. 1Artificial Intelligence12% of their works
  2. 2Computer Networks and Communications11% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Information Systems6% of their works
  6. 6Building and Construction4% of their works

Research topics

Which keywords describe Irina Valerievna Pustokhina's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Healthcare, Internet of Things, IoT Security, Anomaly Detection, Edge Computing and Fog Computing.

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 22 words, with their numbers
  1. Deep Learning376 topics
  2. Neural Networks173 topics
  3. Healthcare162 topics
  4. Internet of Things162 topics
  5. IoT Security142 topics
  6. Anomaly Detection102 topics
  7. Edge Computing91 topic
  8. Fog Computing91 topic
  9. Blockchain71 topic
  10. Smart Contracts71 topic
  11. Stock Market Prediction71 topic
  12. Time Series Forecasting71 topic
  13. COVID-1961 topic
  14. Medical Imaging61 topic
  15. Energy-Efficient Protocols51 topic
  16. Intrusion Detection51 topic
  17. Network Security51 topic
  18. Outlier Detection51 topic
  19. Short-Term Forecasting51 topic
  20. Traffic Flow51 topic
  21. Unsupervised51 topic
  22. Wireless Sensor Networks51 topic

Where does Irina Valerievna Pustokhina work?

Irina Valerievna Pustokhina's main affiliation in the publication record is Plekhanov Russian University of Economics, Russia.

How many publications and citations does Irina Valerievna Pustokhina have?

OpenAlex counts 86 works and 2,255 citations for Irina Valerievna Pustokhina, an h-index of 26, ranking #444,263 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.

Discussion

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