S. Prabakaran

39 papers receiving 916 citations

Peers

S. Prabakaran
Comparison fields: 5 of 98
  • Ophthalmology 322
  • Health Information Management 41
  • Radiology, Nuclear Medicine and Imaging 182
  • Signal Processing 90
  • Computer Networks and Communications 154
Replace Chengzhang Zhu with:
Chengzhang Zhu China
Fiaz Gul Khan Pakistan
S. Navaneethan India
Rohit Agarwal India
Renato R. Maaliw Philippines
Saturnino Vicente-Díaz Spain
Nauman Ali Khan Pakistan
Sukhwinder Singh India
S. Prabakaran relative to Chengzhang Zhu China Chengzhang Zhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Prabakaran

Since Specialization
Citations

This map shows the geographic impact of S. Prabakaran'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 S. Prabakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prabakaran more than expected).

Fields of papers citing papers by S. Prabakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Prabakaran. 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 S. Prabakaran. The network helps show where S. Prabakaran may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Prabakaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Prabakaran Line = papers co-authored together S. Prabakaran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007244
2 2021110
3 200789
4 201954
5 202053
6 201852
7 200747
8 200946
9 202139
10 202138
11 201931
12 201925
13 202019
14 202014
15 202313
16 201813
17 201813
18 20077
19 20156
20 20195

About S. Prabakaran

S. Prabakaran is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Materials Chemistry, having authored 45 papers that have together received 964 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), ZnO doping and properties (5 papers), Quantum Dots Synthesis And Properties (5 papers), Glaucoma and retinal disorders (5 papers), Retinal Imaging and Analysis (4 papers), Gene expression and cancer classification (4 papers), Recommender Systems and Techniques (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Ophthalmology (322 citations), Health Information Management (41 citations), Radiology, Nuclear Medicine and Imaging (182 citations), Signal Processing (90 citations) and Computer Networks and Communications (154 citations). S. Prabakaran has collaborated with scholars based in India, Japan and Singapore. Frequent co-authors include Rajul Parikh, Shefali Parikh, Ravi Thomas, G. Chandra Sekhar, S. Krishnaveni, P. Saranya, S. Harish, K.D. Nisha, M. Navaneethan and Rajesh S. Kumar. Their work appears in journals such as Ophthalmology, Applied Surface Science, Indian Journal of Science and Technology, Journal of Alloys and Compounds and Materials Letters.

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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