V. Kavitha

3.4k citations
69 papers · 2.1k indexed · 1 hit paper · h-index 14

V. Kavitha

61 papers receiving 1.9k citations

Hit Papers

A survey on security issues in service delivery models of...1.6k201020262015202050010001.5k

Peers

V. Kavitha
Comparison fields: 5 of 111
  • Information Systems 1.5k
  • Computer Networks and Communications 726
  • Artificial Intelligence 783
  • Information Systems and Management 119
  • Management Information Systems 146
Replace S. Subashini with:
S. Subashini India
Cheng Lü China
Matthew Horridge United Kingdom
Kevin Wilkinson United States
Yue Yu China
Adrian Paschke Germany
Fethi Rabhi Australia
Sebastian Schelter Netherlands
Zhenyu Chen China
V. Kavitha relative to S. Subashini India S. Subashini's profile →
Citations per field
00.5×1.5×
S. Subashini · 1×
Citations per year

Countries citing papers authored by V. Kavitha

Since Specialization
Citations

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

Fields of papers citing papers by V. Kavitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 202210
4 202113
5 20181
6 20181
7 20171
8 20173
9 20161
10 201646
11 201514
12 20147
13 20143
14 20113
15
Low power design of pre-computation based content-addressable memory
20102
16
Recognising the cloud type and estimation of rainfall
20101
17 20101
18 200715
19 200514
20 199915

About V. Kavitha

V. Kavitha is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cloud Data Security Solutions (7 papers), Cloud Computing and Resource Management (7 papers), Cryptography and Data Security (7 papers), IoT and Edge/Fog Computing (5 papers), Mobile Ad Hoc Networks (5 papers), Privacy-Preserving Technologies in Data (5 papers), Advanced Chemical Physics Studies (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Information Systems (1.5k citations), Computer Networks and Communications (726 citations), Artificial Intelligence (783 citations), Information Systems and Management (119 citations) and Management Information Systems (146 citations). V. Kavitha has collaborated with scholars based in India, United States and France. Frequent co-authors include S. Subashini, K. S. Viswanathan, K. Sundararajan, S. Balasubramaniam, K. Sankaran, Vinod Sharma, Taposh Banerjee, S. Kaliappan, M. Punithavalli and Luke Elizabeth Hanna. Their work appears in journals such as Indian Journal of Science and Technology, The Journal of Physical Chemistry A, Transactions on Emerging Telecommunications Technologies, Materials and Corrosion and American Journal of Tropical Medicine and Hygiene.

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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2026