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Researcher · Vilnius University · Lithuania

Povilas Norvaišas

Povilas Norvaišas publishes mostly in Molecular Biology, Computational Theory and Mathematics and Materials Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Genetics, Aging, and Longevity in Model Organisms.

ORCID 0000-0003-4790-9820 OpenAlex
World rank
#1,604,160
of 7,710,434 ranked researchers
Rank in Lithuania
#425
of 9,273
Works
33
Citations
963
Citations per work
29.2
h-index
11
i10-index 11Top 71% in Molecular Biology
Povilas Norvaišas

What does Povilas Norvaišas research?

Povilas Norvaišas's work is mostly in Biochemistry, Genetics and Molecular Biology (34%), Computer Science (22%), Materials Science (14%).

Physical Sciences: 13 works · 39.9% of their workComputer Science: 7 works · 22.3% of their workComputational Theory and Mathematics: 6 works · 18.8% of their workArtificial Intelligence: 1 works · 3.5% of their workMaterials Science: 5 works · 14.1% of their workMaterials Chemistry: 5 works · 14.1% of their workChemistry: 1 works · 3.5% of their workOrganic Chemistry: 1 works · 3.5% of their workLife Sciences: 11 works · 34.1% of their workBiochemistry, Genetics and Molecular Biology: 11 works · 34.1% of their workMolecular Biology: 9 works · 28.2% of their workAging: 2 works · 5.9% of their workEverything else: 9 works · 26.0% of their workTHEIR WORKPovilas Norvaišas33works
Life Sciences34%Physical Sciences40%

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 Science722.3%
    2. Materials Science514.1%
    3. Chemistry13.5%
    1. Biochemistry, Genetics and Molecular Biology1134.1%
  3. Everything else926.0%
  1. 1Molecular Biology28% of their works
  2. 2Computational Theory and Mathematics19% of their works
  3. 3Materials Chemistry14% of their works
  4. 4Aging6% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Organic Chemistry4% of their works

Research topics

Which keywords describe Povilas Norvaišas's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Molecular Dynamics, Virtual Screening, High-Throughput, Materials Informatics, Oxidative Stress and Aging.

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 Learning282 topics
  2. Molecular Docking161 topic
  3. Molecular Dynamics162 topics
  4. Virtual Screening161 topic
  5. High-Throughput121 topic
  6. Materials Informatics121 topic
  7. Oxidative Stress82 topics
  8. Aging51 topic
  9. Gut Microbiota51 topic
  10. Longevity51 topic
  11. Microbial Communities51 topic
  12. Mass Spectrometry41 topic
  13. Metabolomics41 topic
  14. Protein41 topic
  15. Structure41 topic
  16. Carbonic Anhydrases31 topic
  17. Cytokines31 topic
  18. Inhibitors31 topic
  19. Neuroinflammation31 topic

Where does Povilas Norvaišas work?

Povilas Norvaišas's main affiliation in the publication record is Vilnius University, Lithuania.

How many publications and citations does Povilas Norvaišas have?

OpenAlex counts 33 works and 963 citations for Povilas Norvaišas, an h-index of 11, ranking #1,604,160 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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