Vera Ignatenko
Vera Ignatenko publishes mostly in Artificial Intelligence, Statistical and Nonlinear Physics and General Social Sciences, on topics such as Topic Modeling, Computational and Text Analysis Methods and Bayesian Methods and Mixture Models.
- World rank
- #3,411,684 of 7,710,434 ranked researchers
- Rank in Russia
- #15,325 of 179,717
- Works
- 23
- Citations
- 163
- Citations per work
- 7.1
What does Vera Ignatenko research?
Vera Ignatenko's work is mostly in Computer Science (30%), Physics and Astronomy (19%), Social Sciences (10%).
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
- Physical Sciences1357.3%
- Computer Science730.2%
- Physics and Astronomy419.1%
- Engineering28.0%
- Everything else833.2%
- Social Sciences29.5%
- Social Sciences29.5%
- 1Artificial Intelligence30% of their works
- 2Statistical and Nonlinear Physics16% of their works
- 3General Social Sciences10% of their works
- 4Industrial and Manufacturing Engineering5% of their works
- 5Nuclear and High Energy Physics3% of their works
- 6Automotive Engineering3% of their works
Research topics
Which keywords describe Vera Ignatenko's research?
The keywords of their largest research topics: Topic Modeling, Neural Networks, Machine Learning, Machine Translation, Word Representation, Computational Text Analysis, Network Dynamics and Social Influence.
- Self-Organizing Maps
- Scale-Free Networks
- Opinion Dynamics
- Extraction
- Bounded Confidence
- Mixture Models
- Deep Learning
- Social Influence
- Computational Text Analysis
- Machine Translation
- Neural Networks
- Topic Modeling
- Machine Learning
- Word Representation
- Network Dynamics
- Social Science Research
- Clustering
- Automatic
- Community Structure
- Model Reduction
- Partial Differential Equations
- Backpropagation Learning
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
- Topic Modeling132 topics
- Neural Networks123 topics
- Machine Learning92 topics
- Machine Translation71 topic
- Word Representation71 topic
- Computational Text Analysis61 topic
- Network Dynamics62 topics
- Social Influence62 topics
- Social Science Research61 topic
- Deep Learning52 topics
- Clustering41 topic
- Mixture Models41 topic
- Automatic31 topic
- Bounded Confidence31 topic
- Community Structure31 topic
- Extraction31 topic
- Model Reduction31 topic
- Opinion Dynamics31 topic
- Partial Differential Equations31 topic
- Scale-Free Networks31 topic
- Backpropagation Learning21 topic
- Self-Organizing Maps21 topic
Where does Vera Ignatenko work?
Vera Ignatenko's main affiliation in the publication record is National Research University Higher School of Economics, Russia.
How many publications and citations does Vera Ignatenko have?
OpenAlex counts 23 works and 163 citations for Vera Ignatenko, an h-index of 6, ranking #3,411,684 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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