S. Jayachitra

547 citations
26 papers · 367 · h-index 6

Impact in

Papers in

S. Jayachitra

20 papers receiving 353 citations

Peers

S. Jayachitra
Comparison fields: 5 of 74
  • Neurology 45
  • Computer Networks and Communications 124
  • Health Information Management 18
  • Computer Vision and Pattern Recognition 83
  • Health Informatics 4
Replace S. Ramesh with:
S. Ramesh India
Anuradha Thakare India
Velmurugan Subbiah Parvathy India
Nouf Abdullah Almujally Saudi Arabia
M. Saeed Darweesh Egypt
Sarita Singh Bhadauria India
K. Suganya Devi India
Yüksel Çelik Türkiye
Zhenyu Yan Hong Kong
A. Sampath Dakshina Murthy India
S. Jayachitra relative to S. Ramesh India S. Ramesh's profile →
Citations per field
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S. Ramesh · 1×
Citations per year

Countries citing papers authored by S. Jayachitra

Since Specialization
Citations

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

Fields of papers citing papers by S. Jayachitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside S. Jayachitra, 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. Jayachitra Line = papers co-authored together S. Jayachitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020104
2 202195
3 202084
4 202026
5 202114
6 202313
7 20245
8 20114
9 20234
10 20243
11 20242
12 20212
13 20242
14 20202
15 20182
16 20201
17 20191
18 20111
19 20201
20 20181

About S. Jayachitra

S. Jayachitra is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 367 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Smart Agriculture and AI (3 papers), Retinal Imaging and Analysis (2 papers), Digital Imaging for Blood Diseases (2 papers), Brain Tumor Detection and Classification (2 papers), Blockchain Technology Applications and Security (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Neurology (45 citations), Computer Networks and Communications (124 citations), Health Information Management (18 citations), Computer Vision and Pattern Recognition (83 citations) and Health Informatics (4 citations). S. Jayachitra has collaborated with scholars based in India and United States. Frequent co-authors include M. Bhuvaneswari, A. Mohanarathinam, Syed S. Ali, G. Baskar, K.K. Ray, Manimalha Balasubramani, C. Nelson Kennedy Babu, M. Arunkumar, Rakesh Kumar and Priti Sharma. Their work appears in journals such as Measurement, Peer-to-Peer Networking and Applications, International Journal of Reasoning-based Intelligent Systems, Journal of Circuits Systems and Computers and Measurement Sensors.

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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