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Researcher · Insilicos (United States) · United States

Daniil A. Polykovskiy

Daniil A. Polykovskiy publishes mostly in Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Topic Modeling.

ORCID 0000-0002-0899-8368 OpenAlex
World rank
#364,713
of 7,710,434 ranked researchers
Rank in United States
#130,377
of 1,627,098
Works
35
Citations
4k
Citations per work
112.9
h-index
20
i10-index 22Top 33% in Molecular Biology
Daniil A. Polykovskiy

What does Daniil A. Polykovskiy research?

Daniil A. Polykovskiy's work is mostly in Computer Science (44%), Biochemistry, Genetics and Molecular Biology (19%), Materials Science (17%).

Physical Sciences: 21 works · 61.2% of their workComputer Science: 15 works · 43.9% of their workComputational Theory and Mathematics: 7 works · 19.4% of their workArtificial Intelligence: 6 works · 18.4% of their workComputer Vision and Pattern Recognition: 2 works · 6.1% of their workMaterials Science: 6 works · 17.3% of their workMaterials Chemistry: 6 works · 17.3% of their workLife Sciences: 7 works · 19.4% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 19.4% of their workMolecular Biology: 7 works · 19.4% of their workEverything else: 6 works · 16.3% of their workHealth Sciences: 1 works · 3.1% of their workMedicine: 1 works · 3.1% of their workInfectious Diseases: 1 works · 3.1% of their workTHEIR WORKDaniil A.Polykovskiy35works
Life Sciences19%Physical Sciences61%Health Sciences3%

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. Computer Science1543.9%
    2. Materials Science617.3%
    1. Biochemistry, Genetics and Molecular Biology719.4%
  3. Everything else616.3%
    1. Medicine13.1%
  1. 1Molecular Biology19% of their works
  2. 2Computational Theory and Mathematics19% of their works
  3. 3Artificial Intelligence18% of their works
  4. 4Materials Chemistry17% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Infectious Diseases3% of their works

Research topics

Which keywords describe Daniil A. Polykovskiy's research?

The keywords of their largest research topics: Machine Learning, Molecular Dynamics, Molecular Docking, Virtual Screening, High-Throughput, Materials Informatics, Neural Networks and Machine Translation.

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
  1. Machine Learning362 topics
  2. Molecular Dynamics202 topics
  3. Molecular Docking191 topic
  4. Virtual Screening191 topic
  5. High-Throughput171 topic
  6. Materials Informatics171 topic
  7. Neural Networks82 topics
  8. Machine Translation51 topic
  9. Word Representation51 topic
  10. Bioinformatics41 topic
  11. Education41 topic
  12. Epitope Prediction31 topic
  13. Generative Adversarial Networks31 topic
  14. Image Synthesis31 topic
  15. Neural Machine Translation31 topic
  16. Peptide-MHC Binding31 topic
  17. Protein31 topic
  18. Statistical Machine Translation31 topic
  19. Structure31 topic

Where does Daniil A. Polykovskiy work?

Daniil A. Polykovskiy's main affiliation in the publication record is Insilicos (United States), United States.

How many publications and citations does Daniil A. Polykovskiy have?

OpenAlex counts 35 works and 3,952 citations for Daniil A. Polykovskiy, an h-index of 20, ranking #364,713 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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