V. Valli Kumari

1.0k citations
97 papers · 524 indexed · h-index 12

V. Valli Kumari

83 papers receiving 472 citations

Peers

V. Valli Kumari
Comparison fields: 5 of 105
  • Computer Networks and Communications 198
  • Signal Processing 77
  • Information Systems 149
  • Artificial Intelligence 190
  • Software 19
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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

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202417
4 20241
5 20221
6 20204
7 20201
8
Perseverance of Uncertainty in Cloud Storage Services through Reputation Based Trust.
20181
9
A Deep Learning Approach to Recognize Handwritten Telugu Character Using Convolution Neural Networks
20188
10 20177
11 20171
12 20174
13 20171
14
Verification in Privacy Preserving Data Publishing
20161
15 20162
16 20167
17
A Study of Privacy Attacks on Social Network Data
20140
18
A Novel Approach for Privacy Preserving Publication of Data.
20081
19
Fault-prone module prediction of a web application using artificial neural networks
20070
20
Privacy Preserving in Clustering by Categorizing Attributes Using Privacy and Non Privacy Disclosure Sets.
20071

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), Privacy, Security, and Data Protection (13 papers), Data Mining Algorithms and Applications (11 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Network Security and Intrusion Detection (10 papers), Cloud Computing and Resource Management (7 papers) and Anomaly Detection Techniques and Applications (7 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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