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Researcher · Indian Institute of Technology Patna · India

Agnesh Chandra Yadav

Agnesh Chandra Yadav publishes mostly in Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, on topics such as Brain Tumor Detection and Classification, Medical Image Segmentation Techniques and Image Enhancement Techniques.

ORCID 0009-0007-8707-5142 OpenAlex
World rank
#1,169,243
of 7,710,434 ranked researchers
Rank in India
#17,149
of 280,097
Works
16
Citations
257
Citations per work
16.1
h-index
8
i10-index 8Top 60% in Computer Vision and Pattern Recognition
Agnesh Chandra Yadav

What does Agnesh Chandra Yadav research?

Agnesh Chandra Yadav's work is mostly in Computer Science (57%), Neuroscience (19%), Medicine (16%).

Physical Sciences: 10 works · 62.1% of their workComputer Science: 9 works · 56.7% of their workComputer Vision and Pattern Recognition: 8 works · 48.6% of their workArtificial Intelligence: 1 works · 8.1% of their workEngineering: 1 works · 5.4% of their workMedia Technology: 1 works · 5.4% of their workLife Sciences: 3 works · 18.9% of their workNeuroscience: 3 works · 18.9% of their workNeurology: 3 works · 18.9% of their workHealth Sciences: 3 works · 16.2% of their workMedicine: 3 works · 16.2% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 10.8% of their workCardiology and Cardiovascular Medicine: 1 works · 5.4% of their workTHEIR WORKAgnesh ChandraYadav16works
Life Sciences19%Physical Sciences62%Health Sciences16%

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 Science956.7%
    2. Engineering15.4%
    1. Neuroscience318.9%
    1. Medicine316.2%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Neurology19% of their works
  3. 3Radiology, Nuclear Medicine and Imaging11% of their works
  4. 4Artificial Intelligence8% of their works
  5. 5Media Technology5% of their works
  6. 6Cardiology and Cardiovascular Medicine5% of their works

Research topics

Which keywords describe Agnesh Chandra Yadav's research?

The keywords of their largest research topics: Deep Learning, Medical Imaging, Machine Learning, Image Segmentation, Feature Extraction, Convolutional Neural Network, Medical Image Analysis and Texture Analysis.

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 26 words, with their numbers
  1. Deep Learning256 topics
  2. Medical Imaging143 topics
  3. Machine Learning133 topics
  4. Image Segmentation122 topics
  5. Feature Extraction102 topics
  6. Convolutional Neural Network92 topics
  7. Medical Image Analysis82 topics
  8. Texture Analysis82 topics
  9. Brain Tumor71 topic
  10. MRI71 topic
  11. Sparse Representation62 topics
  12. Active Contours51 topic
  13. Convolutional Neural Networks52 topics
  14. Graph Cuts51 topic
  15. Contrast Enhancement41 topic
  16. Dehazing41 topic
  17. Image41 topic
  18. Super-Resolution41 topic
  19. Computer-Aided Detection31 topic
  20. Histopathology Images31 topic
  21. Quantitative Analysis31 topic
  22. Radiomics31 topic
  23. Image Fusion21 topic
  24. Image Recognition21 topic
  25. Multispectral21 topic
  26. Object Detection21 topic

Where does Agnesh Chandra Yadav work?

Agnesh Chandra Yadav's main affiliation in the publication record is Indian Institute of Technology Patna, India.

How many publications and citations does Agnesh Chandra Yadav have?

OpenAlex counts 16 works and 257 citations for Agnesh Chandra Yadav, an h-index of 8, ranking #1,169,243 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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