M. Vanitha

562 citations
68 papers · 370 · h-index 10

Impact in

Papers in

M. Vanitha

55 papers receiving 343 citations

Peers

M. Vanitha
Comparison fields: 5 of 99
  • Computer Networks and Communications 101
  • Health Information Management 13
  • Information Systems 69
  • Artificial Intelligence 79
  • Signal Processing 25
Replace Muhammad Rafiq Mufti with:
Muhammad Rafiq Mufti Pakistan
Jamil Ahmad Pakistan
Anand Kumar India
Suthikshn Kumar India
Bo Hang China
Taner Tuncer Türkiye
Pramode K. Verma United States
Jianxin Wang China
Adnan Mohsin Abdulazeez Iraq
Ahmet Rızaner Cyprus
M. Vanitha relative to Muhammad Rafiq Mufti Pakistan Muhammad Rafiq Mufti's profile →
Citations per field
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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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201641
3 202327
4 201623
5 201122
6 202020
7 202214
8 202113
9 201210
10 201010
11 20199
12 20139
13 20199
14 20098
15 20127
16 20176
17 20235
18 20234
19 20114
20 20214

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 68 papers that have together received 370 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (7 papers), Artificial Intelligence in Healthcare (6 papers), Cryptographic Implementations and Security (6 papers), Cryptography and Data Security (5 papers), Low-power high-performance VLSI design (5 papers), Network Security and Intrusion Detection (5 papers), Cloud Data Security Solutions (5 papers) and Numerical Methods and Algorithms (4 papers). The work is most often cited by research in Computer Networks and Communications (101 citations), Health Information Management (13 citations), Information Systems (69 citations), Artificial Intelligence (79 citations) and Signal Processing (25 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, Sang-Soo Yeo, Mangayarkarasi Ramaiah, Anand Paul, Seungmin Rho, C. R. Kavitha and Pushpita Chatterjee. Their work appears in journals such as Biomedical Signal Processing and Control, Indian Journal of Science and Technology, Multimedia Tools and Applications, Electronics and Applied Sciences.

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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