V. Valli Kumari

1.0k citations
97 papers · 524 indexed · h-index 12
Topics
Privacy-Preserving Technologies in Data (23 papers)Cryptography and Data Security (17 papers)Privacy, Security, and Data Protection (13 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessJournal of Materials Chemistry B

In The Last Decade

V. Valli Kumari

83 papers receiving 472 citations

Peers

V. Valli Kumari
Comparison fields: 5 of 105
  • Computer Networks and Communications 198
  • Artificial Intelligence 190
  • Information Systems 149
  • Signal Processing 77
  • Computer Vision and Pattern Recognition 58
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Countries citing papers authored by V. Valli Kumari

Since Specialization
Citations

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

Fields of papers citing papers by V. Valli Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Valli Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of V. Valli Kumari. A scholar is included among the top collaborators of V. Valli Kumari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with V. Valli Kumari. V. Valli Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 17
4 1
5 1
6 4
7 1
8
Perseverance of Uncertainty in Cloud Storage Services through Reputation Based Trust.
1
9
A Deep Learning Approach to Recognize Handwritten Telugu Character Using Convolution Neural Networks
8
10 7
11 1
12 4
13 1
14
Verification in Privacy Preserving Data Publishing
1
15 2
16 7
17
A Study of Privacy Attacks on Social Network Data
0
18
A Novel Approach for Privacy Preserving Publication of Data.
1
19
Fault-prone module prediction of a web application using artificial neural networks
0
20
Privacy Preserving in Clustering by Categorizing Attributes Using Privacy and Non Privacy Disclosure Sets.
1

About V. Valli Kumari

V. Valli Kumari is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 97 papers that have together received 524 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Cryptography and Data Security (17 papers) and Privacy, Security, and Data Protection (13 papers). The work is most often cited by research in Computer Networks and Communications (198 citations), Signal Processing (77 citations) and Information Systems (149 citations). V. Valli Kumari has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include P. Ravi Kiran Varma, S. Srinivas Kumar, Hari Kishan Kondaveeti, Syed Hussain Basha, K. V. S. V. N. Raju, Nagaraju Devarakonda, A. Govardhan, V. V. R. Maheswara Rao, Alakananda Mitra and S. Viswanadha Raju. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Materials Chemistry B.

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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