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Researcher · Graphic Era University · India

Manoj Diwakar

Manoj Diwakar publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, on topics such as Advanced Image Fusion Techniques, Image and Signal Denoising Methods and Advanced Image Processing Techniques.

ORCID 0000-0002-4435-675X OpenAlex
World rank
#135,478
of 7,710,434 ranked researchers
Rank in India
#1,398
of 280,097
Works
372
Citations
5.5k
Citations per work
14.7
h-index
40
i10-index 125Top 2.3% in Computer Vision and Pattern Recognition
Manoj Diwakar

What does Manoj Diwakar research?

Manoj Diwakar's work is mostly in Computer Science (47%), Engineering (10%), Medicine (5%).

Physical Sciences: 212 works · 57.0% of their workComputer Science: 174 works · 46.7% of their workComputer Vision and Pattern Recognition: 99 works · 26.7% of their workArtificial Intelligence: 41 works · 11.0% of their workComputer Networks and Communications: 19 works · 5.2% of their workInformation Systems: 14 works · 3.8% of their workEngineering: 38 works · 10.3% of their workMedia Technology: 38 works · 10.3% of their workEverything else: 142 works · 38.1% of their workHealth Sciences: 18 works · 4.9% of their workMedicine: 18 works · 4.9% of their workRadiology, Nuclear Medicine and Imaging: 18 works · 4.9% of their workTHEIR WORKManoj Diwakar372works
Physical Sciences57%Health Sciences5%

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 Science17446.7%
    2. Engineering3810.3%
  2. Everything else14238.1%
    1. Medicine184.9%
  1. 1Computer Vision and Pattern Recognition27% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Media Technology10% of their works
  4. 4Computer Networks and Communications5% of their works
  5. 5Radiology, Nuclear Medicine and Imaging5% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Manoj Diwakar's research?

The keywords of their largest research topics: Deep Learning, Wavelet Transform, Convolutional Neural Networks, Sparse Representation, Convolutional Neural Network, Hyperspectral, Remote Sensing and Medical Imaging.

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.

All 27 words, with their numbers
  1. Deep Learning1986 topics
  2. Wavelet Transform1362 topics
  3. Convolutional Neural Networks1143 topics
  4. Sparse Representation1102 topics
  5. Convolutional Neural Network982 topics
  6. Hyperspectral952 topics
  7. Remote Sensing952 topics
  8. Medical Imaging863 topics
  9. Image Fusion731 topic
  10. Multispectral731 topic
  11. Image Denoising631 topic
  12. Sparse Representations631 topic
  13. Transfer Learning492 topics
  14. Classification472 topics
  15. Machine Learning472 topics
  16. Image371 topic
  17. Super-Resolution371 topic
  18. Object Tracking271 topic
  19. Visual Tracking271 topic
  20. Brain Tumor251 topic
  21. MRI251 topic
  22. COVID-19241 topic
  23. Chest X-Ray241 topic
  24. Big Data Analytics221 topic
  25. Change Detection221 topic
  26. Healthcare221 topic
  27. Image Analysis221 topic

Where does Manoj Diwakar work?

Manoj Diwakar's main affiliation in the publication record is Graphic Era University, India.

How many publications and citations does Manoj Diwakar have?

OpenAlex counts 372 works and 5,472 citations for Manoj Diwakar, an h-index of 40, ranking #135,478 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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.

Other researchers named Manoj Diwakar

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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