Jagadish Nayak

1.1k total citations
32 papers, 829 citations indexed

About

Jagadish Nayak is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Jagadish Nayak has authored 32 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Ophthalmology. Recurrent topics in Jagadish Nayak's work include Retinal Imaging and Analysis (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Glaucoma and retinal disorders (5 papers). Jagadish Nayak is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Glaucoma and retinal disorders (5 papers). Jagadish Nayak collaborates with scholars based in United Arab Emirates, India and Singapore. Jagadish Nayak's co-authors include U. Rajendra Acharya, P. Subbanna Bhat, Teik‐Cheng Lim, C.M. Lim, Xiang Chen, T. Tamura, Vilas H. Gaidhane, Kevin Noronha, M. Sathish Kumar and Wenwei Yu and has published in prestigious journals such as IEEE Access, Information Sciences and Journal of Medical Systems.

In The Last Decade

Jagadish Nayak

28 papers receiving 752 citations

Peers

Jagadish Nayak
Comparison fields: 5 of 81
  • Radiology, Nuclear Medicine and Imaging 535
  • Ophthalmology 435
  • Computer Vision and Pattern Recognition 407
  • Cardiology and Cardiovascular Medicine 86
  • Artificial Intelligence 66
Replace P. Subbanna Bhat with:
P. Subbanna Bhat India
Kwokleung Chan United States
C. Sathish Kumar India
Mouloud Adel France
S. R. Nirmala India
Érick Oliveira Rodrigues Brazil
Mohammad Eslami Iran
Roberto Rosas-Romero Mexico
Khuram Naveed Pakistan
Yingle Fan China
P. Subbanna Bhat India View profile →
Citations per field, relative to Jagadish Nayak
Jagadish Nayak · 1×
Citations per year, relative to Jagadish Nayak
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Countries citing papers authored by Jagadish Nayak

Since Specialization
Citations

This map shows the geographic impact of Jagadish Nayak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jagadish Nayak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagadish Nayak more than expected).

Fields of papers citing papers by Jagadish Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jagadish Nayak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jagadish Nayak. The network helps show where Jagadish Nayak may publish in the future.

Co-authorship network of co-authors of Jagadish Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Jagadish Nayak. A scholar is included among the top collaborators of Jagadish Nayak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jagadish Nayak. Jagadish Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 2
6 1
7 2
8 4
9 17
10 2
11 1
12
A new encryption technique for the secured transmission and storage of text information with medical images
2
13 38
14 23
15 3
16 249
17 30
18 208
19 18
20 43

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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