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Researcher · Nvidia (United States) · United States

Jason Clemons

Jason Clemons publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, on topics such as Advanced Neural Network Applications, CCD and CMOS Imaging Sensors and Advanced Memory and Neural Computing.

ORCID 0000-0001-5533-417X OpenAlex
World rank
#1,010,574
of 7,710,434 ranked researchers
Rank in United States
#329,573
of 1,627,098
Works
39
Citations
1.5k
Citations per work
39.4
h-index
15
i10-index 17Top 23% in Computer Vision and Pattern Recognition
Jason Clemons

What does Jason Clemons research?

Jason Clemons's work is mostly in Computer Science (61%), Engineering (25%).

Physical Sciences: 34 works · 86.4% of their workComputer Science: 24 works · 61.0% of their workComputer Vision and Pattern Recognition: 11 works · 28.2% of their workArtificial Intelligence: 6 works · 16.4% of their workHardware and Architecture: 4 works · 10.9% of their workComputer Networks and Communications: 2 works · 5.5% of their workEngineering: 10 works · 25.4% of their workElectrical and Electronic Engineering: 9 works · 22.7% of their workControl and Systems Engineering: 1 works · 2.7% of their workEverything else: 5 works · 13.6% of their workTHEIR WORKJason Clemons39works
Physical Sciences86%

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 Science2461.0%
    2. Engineering1025.4%
  2. Everything else513.6%
  1. 1Computer Vision and Pattern Recognition28% of their works
  2. 2Electrical and Electronic Engineering23% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Hardware and Architecture11% of their works
  5. 5Computer Networks and Communications6% of their works
  6. 6Control and Systems Engineering3% of their works

Research topics

Which keywords describe Jason Clemons's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Recognition, Neuromorphic Computing, CMOS Image Sensors, High-Speed Imaging, Neural Networks and Memristor.

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. Deep Learning252 topics
  2. Convolutional Neural Networks191 topic
  3. Image Recognition191 topic
  4. Neuromorphic Computing122 topics
  5. CMOS Image Sensors111 topic
  6. High-Speed Imaging111 topic
  7. Neural Networks112 topics
  8. Memristor71 topic
  9. Resistive Switching71 topic
  10. Feature Matching61 topic
  11. Local Descriptors61 topic
  12. Ferroelectricity51 topic
  13. Hafnium Oxide51 topic
  14. Parallel Computing51 topic
  15. Performance Optimization51 topic
  16. Extreme Learning Machine41 topic
  17. Feedforward Networks41 topic
  18. High-Level Synthesis41 topic
  19. Reconfigurable Computing41 topic

Where does Jason Clemons work?

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

How many publications and citations does Jason Clemons have?

OpenAlex counts 39 works and 1,536 citations for Jason Clemons, an h-index of 15, ranking #1,010,574 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

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