Aleksandr Farseev
Aleksandr Farseev publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Topic Modeling and Complex Network Analysis Techniques.
- World rank
- #1,485,671 of 7,710,434 ranked researchers
- Rank in Russia
- #3,967 of 179,717
- Works
- 34
- Citations
- 494
- Citations per work
- 14.5
What does Aleksandr Farseev research?
Aleksandr Farseev's work is mostly in Computer Science (48%), Social Sciences (8%), Physics and Astronomy (5%).
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 Sciences1853.0%
- Computer Science1647.9%
- Physics and Astronomy25.1%
- Everything else1133.7%
- Social Sciences513.3%
- Social Sciences38.2%
- Psychology25.1%
- 1Artificial Intelligence24% of their works
- 2Information Systems12% of their works
- 3Computer Vision and Pattern Recognition11% of their works
- 4Sociology and Political Science8% of their works
- 5Statistical and Nonlinear Physics5% of their works
- 6Clinical Psychology5% of their works
Research topics
Which keywords describe Aleksandr Farseev's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Social Media, Machine Translation, Word Representation and Community Structure.
- Opinion Mining
- Interpretable Models
- Knowledge Graph Embedding
- Electronic Word-of-Mouth
- Consumer Engagement
- Community Structure
- Machine Translation
- Matrix Factorization
- Neural Networks
- Deep Learning
- Collaborative Filtering
- Social Media
- Word Representation
- Network Dynamics
- Content-Based Retrieval
- Graph Neural Networks
- Video Summarization
- Machine Learning Interpretability
- Sentiment Analysis
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 19 words, with their numbers
- Deep Learning173 topics
- Neural Networks162 topics
- Collaborative Filtering101 topic
- Matrix Factorization101 topic
- Social Media72 topics
- Machine Translation61 topic
- Word Representation61 topic
- Community Structure51 topic
- Network Dynamics51 topic
- Consumer Engagement41 topic
- Content-Based Retrieval41 topic
- Electronic Word-of-Mouth41 topic
- Graph Neural Networks41 topic
- Knowledge Graph Embedding41 topic
- Video Summarization41 topic
- Interpretable Models31 topic
- Machine Learning Interpretability31 topic
- Opinion Mining31 topic
- Sentiment Analysis31 topic
Where does Aleksandr Farseev work?
Aleksandr Farseev's main affiliation in the publication record is ITMO University, Russia.
How many publications and citations does Aleksandr Farseev have?
OpenAlex counts 34 works and 494 citations for Aleksandr Farseev, an h-index of 14, ranking #1,485,671 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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