Science Explorer Back to mapMap
Discussion
Researcher · Sony Computer Science Laboratories · Japan

Richard Nock

Richard Nock publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability, on topics such as Machine Learning and Algorithms, Machine Learning and Data Classification and Statistical Mechanics and Entropy.

ORCID 0000-0001-8384-9621 OpenAlex
World rank
#1,424,317
of 7,710,434 ranked researchers
Rank in Japan
#22,231
of 383,136
Works
276
Citations
12k
Citations per work
44.1
h-index
35
i10-index 80Top 3.1% in Artificial Intelligence
Richard Nock

What does Richard Nock research?

Richard Nock's work is mostly in Computer Science (62%), Mathematics (6%), Physics and Astronomy (5%).

Physical Sciences: 200 works · 72.3% of their workComputer Science: 170 works · 61.7% of their workArtificial Intelligence: 120 works · 43.3% of their workComputer Vision and Pattern Recognition: 36 works · 13.1% of their workComputational Theory and Mathematics: 9 works · 3.2% of their workInformation Systems: 6 works · 2.1% of their workMathematics: 16 works · 5.7% of their workStatistics and Probability: 16 works · 5.7% of their workPhysics and Astronomy: 14 works · 4.9% of their workStatistical and Nonlinear Physics: 14 works · 4.9% of their workEverything else: 76 works · 27.7% of their workTHEIR WORKRichard Nock276works
Physical Sciences72%

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 Science17061.7%
    2. Mathematics165.7%
    3. Physics and Astronomy144.9%
  2. Everything else7627.7%
  1. 1Artificial Intelligence43% of their works
  2. 2Computer Vision and Pattern Recognition13% of their works
  3. 3Statistics and Probability6% of their works
  4. 4Statistical and Nonlinear Physics5% of their works
  5. 5Computational Theory and Mathematics3% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Richard Nock's research?

The keywords of their largest research topics: Classification, Deep Learning, Machine Learning, Active Learning, Semi-Supervised Learning, Hyperparameter Optimization, Noisy Labels and Long-Range Interactions.

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. Classification812 topics
  2. Deep Learning792 topics
  3. Machine Learning792 topics
  4. Active Learning611 topic
  5. Semi-Supervised Learning611 topic
  6. Hyperparameter Optimization581 topic
  7. Noisy Labels581 topic
  8. Long-Range Interactions321 topic
  9. Nonextensive Statistical Mechanics321 topic
  10. Imbalanced Data231 topic
  11. SMOTE231 topic
  12. Multicollinearity201 topic
  13. Regression Analysis201 topic
  14. Adversarial Examples181 topic
  15. Bayesian Networks181 topic
  16. Causal Inference181 topic
  17. Clustering181 topic
  18. Mixture Models181 topic
  19. Robustness181 topic

Where does Richard Nock work?

Richard Nock's main affiliation in the publication record is Sony Computer Science Laboratories, Japan.

How many publications and citations does Richard Nock have?

OpenAlex counts 276 works and 12,166 citations for Richard Nock, an h-index of 35, ranking #1,424,317 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 Richard Nock. 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.