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Researcher · Nvidia (United States) · United States

Corey Nolet

Corey Nolet publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence, on topics such as Single-cell and spatial transcriptomics, Data Management and Algorithms and Cancer Genomics and Diagnostics.

ORCID 0000-0002-2117-7636 OpenAlex
World rank
#3,654,548
of 7,710,434 ranked researchers
Rank in United States
#1,014,251
of 1,627,098
Works
19
Citations
286
Citations per work
15.1
h-index
6
i10-index 6Top 78% in Computer Vision and Pattern Recognition
Corey Nolet

What does Corey Nolet research?

Corey Nolet's work is mostly in Computer Science (49%), Biochemistry, Genetics and Molecular Biology (36%).

Physical Sciences: 9 works · 49.0% of their workComputer Science: 9 works · 49.0% of their workComputer Vision and Pattern Recognition: 4 works · 22.6% of their workArtificial Intelligence: 3 works · 17.0% of their workSignal Processing: 2 works · 9.4% of their workLife Sciences: 7 works · 35.8% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 35.8% of their workMolecular Biology: 4 works · 20.8% of their workBiophysics: 1 works · 7.5% of their workCancer Research: 1 works · 7.5% of their workEverything else: 3 works · 15.2% of their workTHEIR WORKCorey Nolet19works
Life Sciences36%Physical Sciences49%

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 Science949.0%
    1. Biochemistry, Genetics and Molecular Biology735.8%
  3. Everything else315.2%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Molecular Biology21% of their works
  3. 3Artificial Intelligence17% of their works
  4. 4Signal Processing9% of their works
  5. 5Biophysics8% of their works
  6. 6Cancer Research8% of their works

Research topics

Which keywords describe Corey Nolet's research?

The keywords of their largest research topics: Deep Learning, Clustering Algorithms, GPS Trajectories, Single-Cell, Trajectory Data Mining, Transcriptomics, Cancer Genomics and Feature Matching.

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 18 words, with their numbers
  1. Deep Learning93 topics
  2. Clustering Algorithms72 topics
  3. GPS Trajectories51 topic
  4. Single-Cell51 topic
  5. Trajectory Data Mining51 topic
  6. Transcriptomics51 topic
  7. Cancer Genomics41 topic
  8. Feature Matching41 topic
  9. Graph Matching41 topic
  10. Graph Processing41 topic
  11. Local Descriptors41 topic
  12. Mutational Signatures41 topic
  13. Bioimage Analysis31 topic
  14. High-Content Screening31 topic
  15. Cluster Validation21 topic
  16. K-means21 topic
  17. Random Projections21 topic
  18. Stochastic Gradient Descent21 topic

Where does Corey Nolet work?

Corey Nolet's main affiliation in the publication record is Nvidia (United States), United States.

How many publications and citations does Corey Nolet have?

OpenAlex counts 19 works and 286 citations for Corey Nolet, an h-index of 6, ranking #3,654,548 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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