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Researcher · Siddhartha Medical College · India

Vahiduddin Shariff

Vahiduddin Shariff publishes mostly in Artificial Intelligence, Computer Networks and Communications and Health Information Management, on topics such as Artificial Intelligence in Healthcare, AI in cancer detection and Radiomics and Machine Learning in Medical Imaging.

ORCID 0009-0001-7052-6687 OpenAlex
World rank
#184,410
of 7,710,434 ranked researchers
Rank in India
#1,950
of 280,097
Works
36
Citations
700
Citations per work
19.4
h-index
19
i10-index 27Top 14% in Artificial Intelligence
Vahiduddin Shariff

What does Vahiduddin Shariff research?

Vahiduddin Shariff's work is mostly in Computer Science (44%), Health Professions (11%), Medicine (8%).

Physical Sciences: 16 works · 43.9% of their workComputer Science: 16 works · 43.9% of their workArtificial Intelligence: 8 works · 22.0% of their workComputer Networks and Communications: 5 works · 14.6% of their workComputer Vision and Pattern Recognition: 3 works · 7.3% of their workEverything else: 11 works · 31.7% of their workHealth Sciences: 7 works · 19.5% of their workHealth Professions: 4 works · 11.0% of their workHealth Information Management: 4 works · 11.0% of their workMedicine: 3 works · 8.5% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 8.5% of their workLife Sciences: 2 works · 4.9% of their workNeuroscience: 2 works · 4.9% of their workNeurology: 2 works · 4.9% of their workTHEIR WORKVahiduddinShariff36works
Life Sciences5%Physical Sciences44%Health Sciences20%

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 Science1643.9%
  2. Everything else1131.7%
    1. Health Professions411.0%
    2. Medicine38.5%
    1. Neuroscience24.9%
  1. 1Artificial Intelligence22% of their works
  2. 2Computer Networks and Communications15% of their works
  3. 3Health Information Management11% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Neurology5% of their works

Research topics

Which keywords describe Vahiduddin Shariff's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Data Mining, Feature Extraction, Medical Imaging, Big Data Analytics, Healthcare and Histopathology Images.

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 Learning326 topics
  2. Deep Learning174 topics
  3. Data Mining122 topics
  4. Feature Extraction102 topics
  5. Medical Imaging102 topics
  6. Big Data Analytics91 topic
  7. Healthcare91 topic
  8. Histopathology Images81 topic
  9. Medical Image Analysis81 topic
  10. Quantitative Analysis61 topic
  11. Radiomics61 topic
  12. IoT Security52 topics
  13. Brain Tumor41 topic
  14. MRI41 topic
  15. CT Screening31 topic
  16. Intrusion Detection31 topic
  17. Lung Cancer31 topic
  18. Network Security31 topic
  19. Android Malware21 topic
  20. Detection21 topic
  21. Web Crawling21 topic
  22. Web Data Extraction21 topic

Where does Vahiduddin Shariff work?

Vahiduddin Shariff's main affiliation in the publication record is Siddhartha Medical College, India.

How many publications and citations does Vahiduddin Shariff have?

OpenAlex counts 36 works and 700 citations for Vahiduddin Shariff, an h-index of 19, ranking #184,410 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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