O. V. Sarmanov
O. V. Sarmanov publishes mostly in Statistics and Probability, Artificial Intelligence and Mathematical Physics, on topics such as Bayesian Methods and Mixture Models, Stochastic processes and statistical mechanics and Advanced Scientific Research Methods.
- World rank
- #2,911,102 of 7,710,434 ranked researchers
- Rank in Russia
- #11,348 of 179,717
- Works
- 15
- Citations
- 264
- Citations per work
- 17.6
What does O. V. Sarmanov research?
O. V. Sarmanov's work is mostly in Mathematics (36%), Computer Science (17%), Agricultural and Biological Sciences (6%).
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 Sciences961.2%
- Mathematics536.1%
- Computer Science316.7%
- Physics and Astronomy15.6%
- Earth and Planetary Sciences02.8%
- Everything else533.2%
- Life Sciences15.6%
- 1Statistics and Probability22% of their works
- 2Artificial Intelligence17% of their works
- 3Mathematical Physics14% of their works
- 4Food Science6% of their works
- 5Atomic and Molecular Physics, and Optics6% of their works
- 6Geology3% of their works
Research topics
- Bayesian Methods and Mixture Models
- Stochastic processes and statistical mechanics
- Advanced Scientific Research Methods
- Statistical and Computational Modeling
- Probability and Statistical Research
- Statistical Distribution Estimation and Applications
- History and advancements in chemistry
- Mathematical Control Systems and Analysis
Which keywords describe O. V. Sarmanov's research?
The keywords of their largest research topics: Bayesian Inference, Data Mining, Clustering, Interacting Particle Systems, Machine Learning, Mixture Models, Scaling Limits and Food Production.
- Partially Ordered Sets
- Fuzzy Computing
- Skew Distributions
- Mathematical Modeling
- Generalized Exponential
- Food Production
- Mixture Models
- Interacting Particle Systems
- Data Mining
- Bayesian Inference
- Clustering
- Machine Learning
- Scaling Limits
- GMDH-type Neural Networks
- Inductive Modeling
- Probability Theory
- Statistical Modeling
- Intelligent Systems
- Periodic Table
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 19 words, with their numbers
- Bayesian Inference52 topics
- Data Mining42 topics
- Clustering31 topic
- Interacting Particle Systems31 topic
- Machine Learning32 topics
- Mixture Models31 topic
- Scaling Limits31 topic
- Food Production21 topic
- GMDH-type Neural Networks21 topic
- Generalized Exponential21 topic
- Inductive Modeling21 topic
- Mathematical Modeling21 topic
- Probability Theory21 topic
- Skew Distributions21 topic
- Statistical Modeling21 topic
- Fuzzy Computing11 topic
- Intelligent Systems11 topic
- Partially Ordered Sets11 topic
- Periodic Table11 topic
Where does O. V. Sarmanov work?
O. V. Sarmanov's main affiliation in the publication record is Steklov Mathematical Institute, Russia.
How many publications and citations does O. V. Sarmanov have?
OpenAlex counts 15 works and 264 citations for O. V. Sarmanov, an h-index of 6, ranking #2,911,102 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.
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