T. Jayasankar

1.1k citations
56 papers · 525 · h-index 13

Impact in

Papers in

T. Jayasankar

49 papers receiving 476 citations

Peers

T. Jayasankar
Comparison fields: 5 of 89
  • Computer Networks and Communications 176
  • Health Information Management 30
  • Signal Processing 47
  • Information Systems 90
  • Neurology 32
Replace Suman Avdhesh Yadav with:
Suman Avdhesh Yadav India
Mejdl Safran Saudi Arabia
Anupam Baliyan India
K. Muthamil Sudar India
Sultan Alfarhood Saudi Arabia
J. Samuel Manoharan India
Mohammad Khalid Imam Rahmani Saudi Arabia
Gunjan Chhabra India
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Citations per field
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Citations per year

Countries citing papers authored by T. Jayasankar

Since Specialization
Citations

This map shows the geographic impact of T. Jayasankar'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 T. Jayasankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Jayasankar more than expected).

Fields of papers citing papers by T. Jayasankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Jayasankar, 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 T. Jayasankar Line = papers co-authored together T. Jayasankar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202044
3 202141
4 202040
5 202138
6 202133
7 202129
8 202119
9 202015
10 202215
11 201715
12 201814
13 202112
14 20239
15
Securing Medical Data using Extended Role Based Access Control Model and Twofish Algorithms on Cloud Platform
20219
16 20217
17 20217
18 20217
19 20216
20 20206

About T. Jayasankar

T. Jayasankar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 56 papers that have together received 525 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Advanced Data Compression Techniques (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Internet of Things and AI (5 papers), Speech Recognition and Synthesis (5 papers), Brain Tumor Detection and Classification (4 papers), Security in Wireless Sensor Networks (4 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (176 citations), Health Information Management (30 citations), Signal Processing (47 citations), Information Systems (90 citations) and Neurology (32 citations). T. Jayasankar has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include A. Sagai Francis Britto, N. B. Prakash, C. Bharatiraja, Mohamed Yacin Sikkandar, M. Anuradha, K. Shankar, G. R. Hemalakshmi, Denis A. Pustokhin, K Vinothkumar and Irina V. Pustokhina. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Tehnicki vjesnik - Technical Gazette, Journal of Ambient Intelligence and Humanized Computing, Brazilian Archives of Biology and Technology and Journal of Forecasting.

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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