M. Vanitha

562 citations
60 papers · 270 · h-index 10

Impact in

Papers in

M. Vanitha

48 papers receiving 246 citations

Peers

M. Vanitha
Comparison fields: 5 of 74
  • Computer Networks and Communications 90
  • Information Systems 55
  • Hardware and Architecture 12
  • Artificial Intelligence 55
  • Signal Processing 18
Replace Zaid Bassfar with:
Zaid Bassfar Saudi Arabia
R. Sakthivel India
Jianxin Wang China
Mustapha Djeddou Algeria
Mahito Sugiyama Japan
Anand Kumar India
F.M.A. Salam United Arab Emirates
Luping Liu China
Ke-Wen Huang China
M. Vanitha relative to Zaid Bassfar Saudi Arabia Zaid Bassfar's profile →
Citations per field
00.5×5.5×
Zaid Bassfar · 1×
Citations per year

Countries citing papers authored by M. Vanitha

Since Specialization
Citations

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

Fields of papers citing papers by M. Vanitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201637
2 202325
3 201122
4 201619
5 202018
6 202112
7 202212
8 201210
9 20199
10 20199
11 20108
12 20127
13 20137
14 20097
15 20175
16 20234
17 20114
18 20214
19 20194
20 20233

About M. Vanitha

M. Vanitha 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 60 papers that have together received 270 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (6 papers), Cryptographic Implementations and Security (6 papers), Network Security and Intrusion Detection (5 papers), Cryptography and Data Security (4 papers), Low-power high-performance VLSI design (4 papers), Cloud Data Security Solutions (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Computer Networks and Communications (90 citations), Information Systems (55 citations), Hardware and Architecture (12 citations), Artificial Intelligence (55 citations) and Signal Processing (18 citations). M. Vanitha has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include R. Sakthivel, M. Daniel, I. Sumaiya Thaseen, S. Ramesh, Mangayarkarasi Ramaiah, Sang-Soo Yeo, C. R. Kavitha, Pushpita Chatterjee, Waleed S. Alnumay and Rajendiran Mangaiyarkarasi. Their work appears in journals such as Biomedical Signal Processing and Control, Indian Journal of Science and Technology, Multimedia Tools and Applications, Applied Sciences and PLoS ONE.

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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