Priyadarsan Parida
Priyadarsan Parida publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Neural Network Applications, Brain Tumor Detection and Classification and Medical Image Segmentation Techniques.
- World rank
- #1,486,290 of 7,710,434 ranked researchers
- Rank in India
- #23,425 of 280,097
- Works
- 87
- Citations
- 760
- Citations per work
- 8.7
What does Priyadarsan Parida research?
Priyadarsan Parida's work is mostly in Computer Science (35%), Engineering (18%), Medicine (6%).
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
- Physical Sciences4652.4%
- Computer Science3034.6%
- Engineering1517.8%
- Everything else3641.2%
- Health Sciences66.4%
- Medicine66.4%
- 1Computer Vision and Pattern Recognition26% of their works
- 2Artificial Intelligence9% of their works
- 3Media Technology7% of their works
- 4Radiology, Nuclear Medicine and Imaging6% of their works
- 5Biomedical Engineering6% of their works
- 6Electrical and Electronic Engineering5% of their works
Research topics
Which keywords describe Priyadarsan Parida's research?
The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Machine Learning, Medical Image Analysis, Image Segmentation, Feature Extraction, Epidemiology and Image Recognition.
- Genetics
- Autism Spectrum Disorders
- Malaria Parasite Detection
- Dermoscopy
- MRI
- Diabetic Retinopathy
- Active Contours
- Image Recognition
- Feature Extraction
- Medical Image Analysis
- Convolutional Neural Networks
- Deep Learning
- Machine Learning
- Image Segmentation
- Epidemiology
- Object Detection
- Brain Tumor
- Graph Cuts
- Retinal Disease
- Leukemia Classification
- Melanoma
- Computer-Aided Detection
- 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 23 words, with their numbers
- Deep Learning556 topics
- Convolutional Neural Networks253 topics
- Machine Learning243 topics
- Medical Image Analysis243 topics
- Image Segmentation202 topics
- Feature Extraction182 topics
- Epidemiology142 topics
- Image Recognition111 topic
- Object Detection111 topic
- Active Contours101 topic
- Brain Tumor101 topic
- Diabetic Retinopathy101 topic
- Graph Cuts101 topic
- MRI101 topic
- Retinal Disease101 topic
- Dermoscopy81 topic
- Leukemia Classification81 topic
- Malaria Parasite Detection81 topic
- Melanoma81 topic
- Autism Spectrum Disorders61 topic
- Computer-Aided Detection61 topic
- Genetics61 topic
- Histopathology Images61 topic
Where does Priyadarsan Parida work?
Priyadarsan Parida's main affiliation in the publication record is GIET University, India.
How many publications and citations does Priyadarsan Parida have?
OpenAlex counts 87 works and 760 citations for Priyadarsan Parida, an h-index of 17, ranking #1,486,290 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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