T. Ananth Kumar

1.3k citations
67 papers · 285 indexed · h-index 8

Impact in

Papers in

T. Ananth Kumar

51 papers receiving 236 citations

Peers

T. Ananth Kumar
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 62
  • Health Information Management 12
  • Health Informatics 3
  • Computer Networks and Communications 48
  • Artificial Intelligence 56
Replace R.G. Vidhya with:
R.G. Vidhya India
Saleh Ali Alomari Jordan
Eunmok Yang South Korea
Ali Akbar Movassagh Iran
Nagat Drawel Canada
Y. C. A. Padmanabha Reddy India
Tariq Alsboui United Kingdom
Amanpreet Singh India
Majed Alwateer Saudi Arabia
Yousef Alhwaiti Saudi Arabia
T. Ananth Kumar relative to R.G. Vidhya India R.G. Vidhya's profile →
Citations per field
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R.G. Vidhya · 1×
Citations per year

Countries citing papers authored by T. Ananth Kumar

Since Specialization
Citations

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

Fields of papers citing papers by T. Ananth Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20242
5 20240
6 202311
7 20231
8 20231
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12 20233
13 20237
14 20222
15
A Brief Survey on AI Based Face Mask Detection System for Public Places
202114
16 20213
17 20209
18 20204
19
A New PAPR reduction Technique based on Precoding and Gamma Companding Technique for OFDM system
20161
20 20143

About T. Ananth Kumar

T. Ananth Kumar is a scholar working on Human-Computer Interaction, Computer Networks and Communications, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 67 papers that have together received 285 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Blockchain Technology Applications and Security (6 papers), IoT and Edge/Fog Computing (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), IoT-based Smart Home Systems (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (62 citations), Health Information Management (12 citations), Health Informatics (3 citations), Computer Networks and Communications (48 citations) and Artificial Intelligence (56 citations). T. Ananth Kumar has collaborated with scholars based in India, Uzbekistan and United States. Frequent co-authors include Anupam Baliyan, Abhishek Kumar, Sunday Adeola Ajagbe, Tarek Gaber, Rania Hodhod, K. Suresh Kumar, T. S. Arun Samuel, Christo Ananth, R.S. Rajesh and Balamurugan Balusamy. Their work appears in journals such as Multimedia Tools and Applications, Scientific Reports, Electronics, International Journal of Web and Grid Services and Microsystem Technologies.

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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