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Researcher · Synergy University Dubai · United Arab Emirates

Jagadish Nayak

Jagadish Nayak publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Retinal Imaging and Analysis, Advanced Steganography and Watermarking Techniques and Chaos-based Image/Signal Encryption.

ORCID 0000-0003-0362-0507 OpenAlex
World rank
#2,236,837
of 7,710,434 ranked researchers
Rank in United Arab Emirates
#2,477
of 6,273
Works
47
Citations
1.1k
Citations per work
24.3
h-index
14
i10-index 15Top 27% in Computer Vision and Pattern Recognition
Jagadish Nayak

What does Jagadish Nayak research?

Jagadish Nayak's work is mostly in Computer Science (39%), Medicine (17%), Engineering (10%).

Physical Sciences: 23 works · 48.9% of their workComputer Science: 18 works · 39.1% of their workComputer Vision and Pattern Recognition: 12 works · 25.6% of their workArtificial Intelligence: 6 works · 13.5% of their workEngineering: 5 works · 9.8% of their workElectrical and Electronic Engineering: 5 works · 9.8% of their workEverything else: 16 works · 33.8% of their workHealth Sciences: 8 works · 17.3% of their workMedicine: 8 works · 17.3% of their workRadiology, Nuclear Medicine and Imaging: 4 works · 7.5% of their workOphthalmology: 3 works · 6.0% of their workCardiology and Cardiovascular Medicine: 2 works · 3.8% of their workTHEIR WORKJagadish Nayak47works
Physical Sciences49%Health Sciences17%

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 Science1839.1%
    2. Engineering59.8%
  2. Everything else1633.8%
    1. Medicine817.3%
  1. 1Computer Vision and Pattern Recognition26% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Electrical and Electronic Engineering10% of their works
  4. 4Radiology, Nuclear Medicine and Imaging8% of their works
  5. 5Ophthalmology6% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Jagadish Nayak's research?

The keywords of their largest research topics: Deep Learning, Glaucoma, Optic Nerve, Diabetic Retinopathy, Retinal Disease, Chaos, Image Encryption and Intraocular Pressure.

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 19 words, with their numbers
  1. Deep Learning163 topics
  2. Glaucoma122 topics
  3. Optic Nerve122 topics
  4. Diabetic Retinopathy71 topic
  5. Retinal Disease71 topic
  6. Chaos51 topic
  7. Image Encryption51 topic
  8. Intraocular Pressure51 topic
  9. Memristor51 topic
  10. Neuromorphic Computing51 topic
  11. Retinal Ganglion Cells51 topic
  12. Reversible Data Embedding51 topic
  13. Steganography51 topic
  14. Image Segmentation41 topic
  15. Medical Image Analysis41 topic
  16. Acoustic Modeling31 topic
  17. Content-Based Image Retrieval31 topic
  18. Deep Neural Networks31 topic
  19. Shape Matching31 topic

Where does Jagadish Nayak work?

Jagadish Nayak's main affiliation in the publication record is Synergy University Dubai, United Arab Emirates.

How many publications and citations does Jagadish Nayak have?

OpenAlex counts 47 works and 1,144 citations for Jagadish Nayak, an h-index of 14, ranking #2,236,837 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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