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Researcher · Woxsen School of Business · India

Shahid Mohammad Ganie

Shahid Mohammad Ganie publishes mostly in Artificial Intelligence, Health Information Management and Neurology, on topics such as Artificial Intelligence in Healthcare, Machine Learning in Healthcare and AI in cancer detection.

ORCID 0000-0001-9925-0402 OpenAlex
World rank
#246,079
of 7,710,434 ranked researchers
Rank in India
#2,639
of 280,097
Works
42
Citations
1k
Citations per work
24.4
h-index
14
i10-index 21Top 25% in Artificial Intelligence
Shahid Mohammad Ganie

What does Shahid Mohammad Ganie research?

Shahid Mohammad Ganie's work is mostly in Computer Science (35%), Health Professions (20%), Neuroscience (6%).

Physical Sciences: 15 works · 35.2% of their workComputer Science: 15 works · 35.2% of their workArtificial Intelligence: 13 works · 30.6% of their workComputer Vision and Pattern Recognition: 2 works · 4.6% of their workEverything else: 12 works · 28.6% of their workHealth Sciences: 11 works · 26.0% of their workHealth Professions: 9 works · 20.4% of their workHealth Information Management: 9 works · 20.4% of their workMedicine: 2 works · 5.6% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.6% of their workLife Sciences: 4 works · 10.2% of their workNeuroscience: 3 works · 6.5% of their workNeurology: 3 works · 6.5% of their workAgricultural and Biological Sciences: 2 works · 3.7% of their workPlant Science: 2 works · 3.7% of their workTHEIR WORKShahid MohammadGanie42works
Life Sciences10%Physical Sciences35%Health Sciences26%

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 Science1535.2%
  2. Everything else1228.6%
    1. Health Professions920.4%
    2. Medicine25.6%
    1. Neuroscience36.5%
    2. Agricultural and Biological Sciences23.7%
  1. 1Artificial Intelligence31% of their works
  2. 2Health Information Management20% of their works
  3. 3Neurology6% of their works
  4. 4Radiology, Nuclear Medicine and Imaging6% of their works
  5. 5Computer Vision and Pattern Recognition5% of their works
  6. 6Plant Science4% of their works

Research topics

Which keywords describe Shahid Mohammad Ganie's research?

The keywords of their largest research topics: Machine Learning, Healthcare, Deep Learning, Big Data Analytics, Medical Diagnosis, Precision Medicine, Electronic Health Records and Predictive Modeling.

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 22 words, with their numbers
  1. Machine Learning383 topics
  2. Healthcare372 topics
  3. Deep Learning344 topics
  4. Big Data Analytics221 topic
  5. Medical Diagnosis221 topic
  6. Precision Medicine182 topics
  7. Electronic Health Records151 topic
  8. Predictive Modeling151 topic
  9. Classification122 topics
  10. Convolutional Neural Networks122 topics
  11. Histopathology Images91 topic
  12. Medical Image Analysis91 topic
  13. Brain Tumor71 topic
  14. MRI71 topic
  15. Imbalanced Data51 topic
  16. SMOTE51 topic
  17. Ayurveda31 topic
  18. CT Screening31 topic
  19. Image Recognition31 topic
  20. Lung Cancer31 topic
  21. Object Detection31 topic
  22. Traditional Chinese Medicine31 topic

Where does Shahid Mohammad Ganie work?

Shahid Mohammad Ganie's main affiliation in the publication record is Woxsen School of Business, India.

How many publications and citations does Shahid Mohammad Ganie have?

OpenAlex counts 42 works and 1,025 citations for Shahid Mohammad Ganie, an h-index of 14, ranking #246,079 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.

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