Igor I. Baskin
Igor I. Baskin publishes mostly in Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Metabolomics and Mass Spectrometry Studies.
- World rank
- #1,923,739 of 7,710,434 ranked researchers
- Rank in Russia
- #5,784 of 179,717
- Works
- 226
- Citations
- 8.1k
- Citations per work
- 35.6
What does Igor I. Baskin research?
Igor I. Baskin's work is mostly in Computer Science (19%), Biochemistry, Genetics and Molecular Biology (16%), Chemistry (15%).
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 Sciences10144.7%
- Computer Science4218.8%
- Chemistry3515.3%
- Materials Science2410.6%
- Everything else8236.1%
- Life Sciences4319.2%
- 1Computational Theory and Mathematics19% of their works
- 2Molecular Biology16% of their works
- 3Materials Chemistry11% of their works
- 4Organic Chemistry8% of their works
- 5Spectroscopy7% of their works
- 6Cellular and Molecular Neuroscience3% of their works
Research topics
- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Metabolomics and Mass Spectrometry Studies
- Analytical Chemistry and Chromatography
- Chemical Thermodynamics and Molecular Structure
- Neuroscience and Neuropharmacology Research
- Spectroscopy and Chemometric Analyses
- Free Radicals and Antioxidants
Which keywords describe Igor I. Baskin's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, High-Throughput, Materials Informatics, Mass Spectrometry, Metabolomics and Chiral Separation.
- Near-Infrared Spectroscopy
- Antioxidant
- Neurotransmission
- Enthalpies
- Chiral Separation
- Mass Spectrometry
- High-Throughput
- Molecular Docking
- Machine Learning
- Virtual Screening
- Materials Informatics
- Metabolomics
- Liquid Chromatography
- Vaporization
- Synaptic Plasticity
- Multivariate Calibration
- Phenolic Compounds
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 17 words, with their numbers
- Machine Learning1482 topics
- Molecular Docking1051 topic
- Virtual Screening1051 topic
- High-Throughput431 topic
- Materials Informatics431 topic
- Mass Spectrometry261 topic
- Metabolomics261 topic
- Chiral Separation241 topic
- Liquid Chromatography241 topic
- Enthalpies151 topic
- Vaporization151 topic
- Neurotransmission131 topic
- Synaptic Plasticity131 topic
- Antioxidant121 topic
- Multivariate Calibration121 topic
- Near-Infrared Spectroscopy121 topic
- Phenolic Compounds121 topic
Where does Igor I. Baskin work?
Igor I. Baskin's main affiliation in the publication record is Lomonosov Moscow State University, Russia.
How many publications and citations does Igor I. Baskin have?
OpenAlex counts 226 works and 8,055 citations for Igor I. Baskin, an h-index of 35, ranking #1,923,739 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
Ask a question or share a note about Igor I. Baskin. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.