Science Explorer Interactive view Map

Nicholas Sharp

Nicholas Sharp publishes mostly in Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as 3D Shape Modeling and Analysis, Stochastic Gradient Optimization Techniques and Advanced Multi-Objective Optimization Algorithms.

World rank
#882,928
of 1,633,909 ranked researchers
Rank in United States
#243,909
of 358,040
Works
21
Citations
61
Citations per work
2.9

What does Nicholas Sharp research?

Computational Mechanics: 20.7%Artificial Intelligence: 10.3%Computer Vision and Pattern Recognition: 6.9%Computer Graphics and Computer-Aided Design: 6.9%other fields: 55.2%21%top field
Computational Mechanics20.7%Artificial Intelligence10.3%Computer Vision and Pattern Recognition6.9%Computer Graphics and Computer-Aided Design6.9%other fields55.2%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computational Mechanics21% of their works
  2. 2Artificial Intelligence10% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Computer Graphics and Computer-Aided Design7% of their works
  5. 5Pulmonary and Respiratory Medicine7% of their works
  6. 6Computational Theory and Mathematics7% of their works

Research topics

Which keywords describe Nicholas Sharp's research?

The keywords of their largest research topics: Deep Learning, 3D Reconstruction, Point Clouds, Genomic Analysis, Neural Networks, Canine Cancer, Comparative Oncology and Evolutionary Algorithms.

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 19 words, with their numbers
  1. Deep Learning73 topics
  2. 3D Reconstruction41 topic
  3. Point Clouds41 topic
  4. Genomic Analysis32 topics
  5. Neural Networks32 topics
  6. Canine Cancer21 topic
  7. Comparative Oncology21 topic
  8. Evolutionary Algorithms21 topic
  9. Finite Elements21 topic
  10. Multiobjective Optimization21 topic
  11. NURBS21 topic
  12. Random Projections21 topic
  13. Stochastic Gradient Descent21 topic
  14. Animal-Assisted Therapy11 topic
  15. Backpropagation Learning11 topic
  16. Computer Graphics11 topic
  17. Dog Domestication11 topic
  18. Self-Organizing Maps11 topic
  19. Visualization11 topic

Where does Nicholas Sharp work?

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

How many publications and citations does Nicholas Sharp have?

Science Explorer counts 21 works and 61 citations for Nicholas Sharp, ranking #882,928 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.