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Researcher · Volgograd State Technical University · Russia

Kingkar Prosad Ghosh

Kingkar Prosad Ghosh publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Smart Agriculture and AI, Natural Language Processing Techniques and Speech Recognition and Synthesis.

ORCID 0009-0001-6170-2829 OpenAlex
World rank
#5,391,054
of 7,710,434 ranked researchers
Rank in Russia
#43,630
of 179,717
Works
20
Citations
42
Citations per work
2.1
h-index
3
i10-index 1Top 95% in Artificial Intelligence
Kingkar Prosad Ghosh

What does Kingkar Prosad Ghosh research?

Kingkar Prosad Ghosh's work is mostly in Computer Science (46%), Engineering (4%), Health Professions (4%).

Physical Sciences: 10 works · 50.0% of their workComputer Science: 9 works · 46.3% of their workArtificial Intelligence: 4 works · 22.2% of their workComputer Vision and Pattern Recognition: 3 works · 14.8% of their workInformation Systems: 2 works · 9.3% of their workEngineering: 1 works · 3.7% of their workBiomedical Engineering: 1 works · 3.7% of their workEverything else: 9 works · 42.6% of their workHealth Sciences: 1 works · 3.7% of their workHealth Professions: 1 works · 3.7% of their workHealth Information Management: 1 works · 3.7% of their workSocial Sciences: 1 works · 3.7% of their workEconomics, Econometrics and Finance: 1 works · 3.7% of their workGeneral Economics, Econometrics and Finance: 1 works · 3.7% of their workTHEIR WORKKingkar ProsadGhosh20works
Physical Sciences50%Health Sciences4%Social Sciences4%

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 Science946.3%
    2. Engineering13.7%
  2. Everything else942.6%
    1. Health Professions13.7%
    1. Economics, Econometrics and Finance13.7%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Vision and Pattern Recognition15% of their works
  3. 3Information Systems9% of their works
  4. 4General Economics, Econometrics and Finance4% of their works
  5. 5Biomedical Engineering4% of their works
  6. 6Health Information Management4% of their works

Research topics

Which keywords describe Kingkar Prosad Ghosh's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Image Processing, Machine Learning, Feature Extraction, Medical Image Analysis, Acoustic Modeling and Banknote Recognition.

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 22 words, with their numbers
  1. Deep Learning84 topics
  2. Convolutional Neural Networks63 topics
  3. Image Processing63 topics
  4. Machine Learning63 topics
  5. Feature Extraction42 topics
  6. Medical Image Analysis42 topics
  7. Acoustic Modeling21 topic
  8. Banknote Recognition21 topic
  9. Blockchain21 topic
  10. Computer-Aided Detection21 topic
  11. Currency Recognition21 topic
  12. Deep Neural Networks21 topic
  13. Gesture Recognition21 topic
  14. Histopathology Images21 topic
  15. Human-Computer Interaction21 topic
  16. Internet of Things21 topic
  17. Leukemia Classification21 topic
  18. Malaria Parasite Detection21 topic
  19. Neural Machine Translation21 topic
  20. Plant Disease Detection21 topic
  21. Smart Farming21 topic
  22. Statistical Machine Translation21 topic

Where does Kingkar Prosad Ghosh work?

Kingkar Prosad Ghosh's main affiliation in the publication record is Volgograd State Technical University, Russia.

How many publications and citations does Kingkar Prosad Ghosh have?

OpenAlex counts 20 works and 42 citations for Kingkar Prosad Ghosh, an h-index of 3, ranking #5,391,054 of 7,710,434 researchers worldwide on the quality 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 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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