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Researcher · GIET University · India

Dillip Ranjan Nayak

Dillip Ranjan Nayak publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, on topics such as Brain Tumor Detection and Classification, Advanced Neural Network Applications and Machine Learning and ELM.

ORCID 0000-0002-9345-7813 OpenAlex
World rank
#3,250,199
of 7,710,434 ranked researchers
Rank in India
#69,373
of 280,097
Works
18
Citations
382
Citations per work
21.2
h-index
5
i10-index 4Top 87% in Computer Vision and Pattern Recognition
Dillip Ranjan Nayak

What does Dillip Ranjan Nayak research?

Dillip Ranjan Nayak's work is mostly in Computer Science (56%), Neuroscience (18%), Medicine (7%).

Physical Sciences: 11 works · 59.9% of their workComputer Science: 10 works · 55.5% of their workComputer Vision and Pattern Recognition: 6 works · 33.3% of their workArtificial Intelligence: 3 works · 17.8% of their workSignal Processing: 1 works · 4.4% of their workEngineering: 1 works · 4.4% of their workIndustrial and Manufacturing Engineering: 1 works · 4.4% of their workLife Sciences: 3 works · 17.8% of their workNeuroscience: 3 works · 17.8% of their workNeurology: 3 works · 17.8% of their workEverything else: 3 works · 15.6% of their workHealth Sciences: 1 works · 6.7% of their workMedicine: 1 works · 6.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 6.7% of their workTHEIR WORKDillip RanjanNayak18works
Life Sciences18%Physical Sciences60%Health Sciences7%

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 Science1055.5%
    2. Engineering14.4%
    1. Neuroscience317.8%
  3. Everything else315.6%
    1. Medicine16.7%
  1. 1Computer Vision and Pattern Recognition33% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Neurology18% of their works
  4. 4Radiology, Nuclear Medicine and Imaging7% of their works
  5. 5Industrial and Manufacturing Engineering4% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Dillip Ranjan Nayak's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Classification, Image Segmentation, Feature Extraction, Brain Tumor, MRI and Convolutional Neural Networks.

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 23 words, with their numbers
  1. Deep Learning184 topics
  2. Machine Learning133 topics
  3. Classification112 topics
  4. Image Segmentation112 topics
  5. Feature Extraction102 topics
  6. Brain Tumor81 topic
  7. MRI81 topic
  8. Convolutional Neural Networks72 topics
  9. Image Recognition51 topic
  10. Medical Image Analysis52 topics
  11. Object Detection51 topic
  12. Active Contours31 topic
  13. Content-Based Image Retrieval31 topic
  14. Extreme Learning Machine31 topic
  15. Feedforward Networks31 topic
  16. Graph Cuts31 topic
  17. Shape Matching31 topic
  18. Diabetic Retinopathy21 topic
  19. Leukemia Classification21 topic
  20. Malaria Parasite Detection21 topic
  21. Retinal Disease21 topic
  22. Neural Machine Translation11 topic
  23. Statistical Machine Translation11 topic

Where does Dillip Ranjan Nayak work?

Dillip Ranjan Nayak's main affiliation in the publication record is GIET University, India.

How many publications and citations does Dillip Ranjan Nayak have?

OpenAlex counts 18 works and 382 citations for Dillip Ranjan Nayak, an h-index of 5, ranking #3,250,199 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.

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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