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Researcher · Chandigarh University · India

Prince Kumar

Prince Kumar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, on topics such as Advanced Neural Network Applications, Smart Agriculture and AI and Sugarcane Cultivation and Processing.

ORCID 0000-0002-5632-4421 OpenAlex
World rank
#3,638,430
of 7,710,434 ranked researchers
Rank in India
#82,473
of 280,097
Works
24
Citations
387
Citations per work
16.1
h-index
8
i10-index 4Top 60% in Computer Vision and Pattern Recognition
Prince Kumar

What does Prince Kumar research?

Prince Kumar's work is mostly in Computer Science (22%), Engineering (22%), Agricultural and Biological Sciences (6%).

Everything else: 12 works · 50.6% of their workPhysical Sciences: 10 works · 43.2% of their workComputer Science: 5 works · 21.6% of their workArtificial Intelligence: 3 works · 10.8% of their workComputer Vision and Pattern Recognition: 3 works · 10.8% of their workEngineering: 5 works · 21.6% of their workBiomedical Engineering: 2 works · 9.2% of their workControl and Systems Engineering: 1 works · 6.2% of their workElectrical and Electronic Engineering: 1 works · 6.2% of their workLife Sciences: 1 works · 6.2% of their workAgricultural and Biological Sciences: 1 works · 6.2% of their workPlant Science: 1 works · 6.2% of their workTHEIR WORKPrince Kumar24works
Life Sciences6%Physical Sciences43%

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. Everything else1250.6%
    1. Computer Science521.6%
    2. Engineering521.6%
    1. Agricultural and Biological Sciences16.2%
  1. 1Computer Vision and Pattern Recognition11% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Biomedical Engineering9% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Plant Science6% of their works
  6. 6Control and Systems Engineering6% of their works

Research topics

Which keywords describe Prince Kumar's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Image Recognition, Object Detection, Android Malware, Autonomous Vehicles and Detection.

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 Learning125 topics
  2. Convolutional Neural Networks62 topics
  3. Machine Learning63 topics
  4. Image Recognition41 topic
  5. Object Detection41 topic
  6. Android Malware21 topic
  7. Autonomous Vehicles21 topic
  8. Detection21 topic
  9. Genomics21 topic
  10. Hardware Trojans21 topic
  11. Multivariate Calibration21 topic
  12. Near-Infrared Spectroscopy21 topic
  13. Object Tracking21 topic
  14. Physical Unclonable Functions21 topic
  15. Plant Disease Detection21 topic
  16. Smart Farming21 topic
  17. Sugarcane21 topic
  18. Trajectory Prediction21 topic
  19. Visual Tracking21 topic

Where does Prince Kumar work?

Prince Kumar's main affiliation in the publication record is Chandigarh University, India.

How many publications and citations does Prince Kumar have?

OpenAlex counts 24 works and 387 citations for Prince Kumar, an h-index of 8, ranking #3,638,430 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.

Other researchers named Prince Kumar

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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