M. Vadivel

451 citations
38 papers · 247 · h-index 9

Impact in

Papers in

M. Vadivel

32 papers receiving 229 citations

Peers

M. Vadivel
Comparison fields: 5 of 70
  • Computer Networks and Communications 66
  • Health Information Management 9
  • Artificial Intelligence 46
  • Computer Vision and Pattern Recognition 24
  • Electrical and Electronic Engineering 62
Replace Arvind Chakrapani with:
Arvind Chakrapani India
Shamim Ahmed Bangladesh
Fahad Alqurashi Saudi Arabia
D.C. Joy Winnie Wise India
A. Velmurugan India
Finney Daniel Shadrach India
Ahmad Karim Türkiye
Raju Anitha India
Y. C. A. Padmanabha Reddy India
Sanjay Kumar Suman India
M. Vadivel relative to Arvind Chakrapani India Arvind Chakrapani's profile →
Citations per field
00.5×1.5×2.5×
Arvind Chakrapani · 1×
Citations per year

Countries citing papers authored by M. Vadivel

Since Specialization
Citations

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

Fields of papers citing papers by M. Vadivel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside M. Vadivel, 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 M. Vadivel Line = papers co-authored together M. Vadivel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202435
2 202431
3 202330
4 202329
5 202326
6 201617
7 201313
8 20199
9 20209
10 20156
11 20145
12 20215
13 20233
14 20233
15 20232
16 20212
17 20192
18 20192
19 20242
20 20152

About M. Vadivel

M. Vadivel is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering, having authored 38 papers that have together received 247 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Advanced Wireless Network Optimization (3 papers), Advanced MIMO Systems Optimization (3 papers), AI in cancer detection (3 papers), Cutaneous Melanoma Detection and Management (2 papers), IoT and Edge/Fog Computing (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Computer Networks and Communications (66 citations), Health Information Management (9 citations), Artificial Intelligence (46 citations), Computer Vision and Pattern Recognition (24 citations) and Electrical and Electronic Engineering (62 citations). M. Vadivel has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include C. Srinivasan, V. Vijayabaskar, N. Anusha, S. Vimal, S. Vimal, S. Murugan, S. Sakthivel Murugan, S. Velmurugan, P. Ganesan and K. Vasanth. Their work appears in journals such as Wireless Personal Communications, Indian Journal of Science and Technology, Journal of South American Earth Sciences, Journal of Nanoelectronics and Optoelectronics and Materials Today Proceedings.

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.

Explore authors with similar magnitude of impact