A. Prasanth

1.5k citations
36 papers · 840 · h-index 15

Impact in

Papers in

A. Prasanth

34 papers receiving 796 citations

Peers

A. Prasanth
Comparison fields: 5 of 93
  • Computer Networks and Communications 370
  • Health Information Management 63
  • Artificial Intelligence 209
  • Signal Processing 67
  • Computer Vision and Pattern Recognition 122
Replace Shakila Basheer with:
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Ghaida Muttashar Abdulsahib Iraq
Usha Devi Gandhi India
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Khalid Mahmood Awan Pakistan
Kadiyala Ramana India
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V. Muneeswaran India
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Citations per field
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Citations per year

Countries citing papers authored by A. Prasanth

Since Specialization
Citations

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

Fields of papers citing papers by A. Prasanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 202193
3 202184
4 202081
5 202064
6 202354
7 202342
8 202340
9 201834
10 202330
11 201927
12 202227
13 201925
14 202224
15 202218
16 202213
17 202313
18 202210
19 20259
20
Particle Swarm Optimization Algorithm Based Zone Head Selection In Wireless Sensor Networks
20198

About A. Prasanth

A. Prasanth is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 840 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), IoT and Edge/Fog Computing (6 papers), IoT-based Smart Home Systems (5 papers), Security in Wireless Sensor Networks (5 papers), COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare (4 papers), Energy Harvesting in Wireless Networks (4 papers) and Internet of Things and AI (4 papers). The work is most often cited by research in Computer Networks and Communications (370 citations), Health Information Management (63 citations), Artificial Intelligence (209 citations), Signal Processing (67 citations) and Computer Vision and Pattern Recognition (122 citations). A. Prasanth has collaborated with scholars based in India, Vietnam and Maldives. Frequent co-authors include S. Jayachitra, Amin Salih Mohammed, Sulaima Lebbe Abdul Haleem, S. Balasubramaniam, Safeeullah Soomro, Mahdi H. Miraz, Mardina Abdullah, Rajesh Kumar Dhanaraj, K. Satheesh Kumar and Radhika Subramanian. Their work appears in journals such as Network Computation in Neural Systems, Measurement, Computational Intelligence and Neuroscience, Transactions on Emerging Telecommunications Technologies and Archives of Osteoporosis.

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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