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Researcher · National Institute of Standards and Technology · United States

Debra J. Audus

Debra J. Audus publishes mostly in Materials Chemistry, Organic Chemistry and Computational Theory and Mathematics, on topics such as Machine Learning in Materials Science, Computational Drug Discovery Methods and Electrostatics and Colloid Interactions.

ORCID 0000-0002-5937-7721 OpenAlex
World rank
#1,876,915
of 7,710,434 ranked researchers
Rank in United States
#574,178
of 1,627,098
Works
79
Citations
1.9k
Citations per work
24.3
h-index
21
i10-index 31Top 27% in Materials Chemistry
Debra J. Audus

What does Debra J. Audus research?

Debra J. Audus's work is mostly in Materials Science (29%), Computer Science (14%), Chemistry (10%).

Physical Sciences: 41 works · 52.5% of their workMaterials Science: 23 works · 29.1% of their workMaterials Chemistry: 18 works · 23.0% of their workPolymers and Plastics: 5 works · 6.1% of their workComputer Science: 11 works · 13.7% of their workComputational Theory and Mathematics: 6 works · 7.1% of their workArtificial Intelligence: 5 works · 6.6% of their workChemistry: 8 works · 9.7% of their workOrganic Chemistry: 8 works · 9.7% of their workEverything else: 33 works · 41.4% of their workLife Sciences: 5 works · 6.1% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 6.1% of their workMolecular Biology: 5 works · 6.1% of their workTHEIR WORKDebra J. Audus79works
Life Sciences6%Physical Sciences52%

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. Materials Science2329.1%
    2. Computer Science1113.7%
    3. Chemistry89.7%
  2. Everything else3341.4%
    1. Biochemistry, Genetics and Molecular Biology56.1%
  1. 1Materials Chemistry23% of their works
  2. 2Organic Chemistry10% of their works
  3. 3Computational Theory and Mathematics7% of their works
  4. 4Artificial Intelligence7% of their works
  5. 5Polymers and Plastics6% of their works
  6. 6Molecular Biology6% of their works

Research topics

Which keywords describe Debra J. Audus's research?

The keywords of their largest research topics: Self-Assembly, Machine Learning, Colloidal Particles, Surfactants, High-Throughput, Materials Informatics, Micelles and Block Copolymers.

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 23 words, with their numbers
  1. Self-Assembly364 topics
  2. Machine Learning322 topics
  3. Colloidal Particles212 topics
  4. Surfactants202 topics
  5. High-Throughput191 topic
  6. Materials Informatics191 topic
  7. Micelles182 topics
  8. Block Copolymers162 topics
  9. Nanoparticles162 topics
  10. Molecular Docking131 topic
  11. Virtual Screening131 topic
  12. Electrostatics111 topic
  13. Polyelectrolytes111 topic
  14. Emulsions101 topic
  15. Ionic Liquids101 topic
  16. Janus Particles101 topic
  17. Wormlike micelles101 topic
  18. Click Chemistry81 topic
  19. Lithography81 topic
  20. Living Radical Polymerization81 topic
  21. Nanotechnology81 topic
  22. Polymer Blends61 topic
  23. Polymer Crystallization61 topic

Where does Debra J. Audus work?

Debra J. Audus's main affiliation in the publication record is National Institute of Standards and Technology, United States.

How many publications and citations does Debra J. Audus have?

OpenAlex counts 79 works and 1,922 citations for Debra J. Audus, an h-index of 21, ranking #1,876,915 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.

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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