Parikshit Sanyal
Parikshit Sanyal publishes mostly in Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, on topics such as AI in cancer detection, Digital Imaging for Blood Diseases and Radiomics and Machine Learning in Medical Imaging.
- World rank
- #4,945,814 of 7,710,434 ranked researchers
- Rank in India
- #134,565 of 280,097
- Works
- 30
- Citations
- 234
- Citations per work
- 7.8
What does Parikshit Sanyal research?
Parikshit Sanyal's work is mostly in Computer Science (27%), Medicine (21%), Health Professions (5%).
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
- Everything else1447.4%
- Physical Sciences826.9%
- Computer Science826.9%
- Health Sciences825.7%
- Medicine620.8%
- Health Professions14.9%
- 1Artificial Intelligence17% of their works
- 2Radiology, Nuclear Medicine and Imaging11% of their works
- 3Computer Vision and Pattern Recognition10% of their works
- 4Pathology and Forensic Medicine5% of their works
- 5Public Health, Environmental and Occupational Health5% of their works
- 6General Health Professions5% of their works
Research topics
Which keywords describe Parikshit Sanyal's research?
The keywords of their largest research topics: Machine Learning, Convolutional Neural Networks, Medical Image Analysis, Deep Learning, Histopathology Images, Feature Extraction, Leukemia Classification and Malaria Parasite Detection.
- Oxidation States
- NK Cell Recognition
- Infrared Thermography
- HPV Vaccination
- Breast Cancer Detection
- Radiomics
- Cervical Cancer
- Malaria Parasite Detection
- Feature Extraction
- Deep Learning
- Convolutional Neural Networks
- Machine Learning
- Medical Image Analysis
- Histopathology Images
- Leukemia Classification
- Medical Imaging
- Quantitative Analysis
- Brachytherapy
- Endometrial Carcinoma
- Human Papillomavirus
- Biochemistry
- Natural Killer Cells
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
- Machine Learning253 topics
- Convolutional Neural Networks212 topics
- Medical Image Analysis212 topics
- Deep Learning131 topic
- Histopathology Images131 topic
- Feature Extraction122 topics
- Leukemia Classification81 topic
- Malaria Parasite Detection81 topic
- Medical Imaging72 topics
- Cervical Cancer62 topics
- Quantitative Analysis41 topic
- Radiomics41 topic
- Brachytherapy31 topic
- Breast Cancer Detection31 topic
- Endometrial Carcinoma31 topic
- HPV Vaccination31 topic
- Human Papillomavirus31 topic
- Infrared Thermography31 topic
- Biochemistry21 topic
- NK Cell Recognition21 topic
- Natural Killer Cells21 topic
- Oxidation States21 topic
Where does Parikshit Sanyal work?
Parikshit Sanyal's main affiliation in the publication record is Command Hospital, India.
How many publications and citations does Parikshit Sanyal have?
OpenAlex counts 30 works and 234 citations for Parikshit Sanyal, an h-index of 7, ranking #4,945,814 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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