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Researcher · Sandip Foundation · India

Amit Gadekar

Amit Gadekar publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Blockchain Technology Applications and Security, COVID-19 diagnosis using AI and Advanced Neural Network Applications.

OpenAlex
World rank
#5,778,771
of 7,710,434 ranked researchers
Rank in India
#174,864
of 280,097
Works
25
Citations
82
Citations per work
3.3
h-index
4
i10-index 1Top 90% in Artificial Intelligence
Amit Gadekar

What does Amit Gadekar research?

Amit Gadekar's work is mostly in Computer Science (48%), Medicine (6%), Engineering (4%).

Physical Sciences: 14 works · 56.4% of their workComputer Science: 12 works · 47.8% of their workArtificial Intelligence: 5 works · 20.3% of their workInformation Systems: 5 works · 20.3% of their workComputer Vision and Pattern Recognition: 2 works · 7.2% of their workEngineering: 1 works · 4.3% of their workMedia Technology: 1 works · 4.3% of their workEnvironmental Science: 1 works · 4.3% of their workEnvironmental Engineering: 1 works · 4.3% of their workEverything else: 9 works · 37.8% of their workHealth Sciences: 1 works · 5.8% of their workMedicine: 1 works · 5.8% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 5.8% of their workTHEIR WORKAmit Gadekar25works
Physical Sciences56%Health Sciences6%

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 Science1247.8%
    2. Engineering14.3%
    3. Environmental Science14.3%
  2. Everything else937.8%
    1. Medicine15.8%
  1. 1Artificial Intelligence20% of their works
  2. 2Information Systems20% of their works
  3. 3Computer Vision and Pattern Recognition7% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Media Technology4% of their works
  6. 6Environmental Engineering4% of their works

Research topics

Which keywords describe Amit Gadekar's research?

The keywords of their largest research topics: Deep Learning, Privacy, Security, Convolutional Neural Networks, Healthcare, Internet of Things, Medical Imaging and Transfer Learning.

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 25 words, with their numbers
  1. Deep Learning114 topics
  2. Privacy82 topics
  3. Security82 topics
  4. Convolutional Neural Networks72 topics
  5. Healthcare72 topics
  6. Internet of Things72 topics
  7. Medical Imaging62 topics
  8. Transfer Learning62 topics
  9. Blockchain51 topic
  10. Smart Contracts51 topic
  11. COVID-1941 topic
  12. Chest X-Ray41 topic
  13. Machine Learning42 topics
  14. Cloud Computing31 topic
  15. Data Storage31 topic
  16. Image Recognition31 topic
  17. Object Detection31 topic
  18. Brain Tumor21 topic
  19. Differential Privacy21 topic
  20. Edge Computing21 topic
  21. Federated Learning21 topic
  22. Fog Computing21 topic
  23. MRI21 topic
  24. Quantum Computation21 topic
  25. Quantum Information21 topic

Where does Amit Gadekar work?

Amit Gadekar's main affiliation in the publication record is Sandip Foundation, India.

How many publications and citations does Amit Gadekar have?

OpenAlex counts 25 works and 82 citations for Amit Gadekar, an h-index of 4, ranking #5,778,771 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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