V. Krishnaveni

1.2k citations
52 papers · 773 indexed · h-index 11
Topics
Image and Signal Denoising Methods (11 papers)Blind Source Separation Techniques (10 papers)Advanced Image Fusion Techniques (6 papers)

In The Last Decade

V. Krishnaveni

44 papers receiving 708 citations

Peers

V. Krishnaveni
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 289
  • Cognitive Neuroscience 284
  • Signal Processing 220
  • Media Technology 133
  • Radiology, Nuclear Medicine and Imaging 106
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Countries citing papers authored by V. Krishnaveni

Since Specialization
Citations

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

Fields of papers citing papers by V. Krishnaveni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Krishnaveni

This figure shows the co-authorship network connecting the top 25 collaborators of V. Krishnaveni. A scholar is included among the top collaborators of V. Krishnaveni 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. Krishnaveni. V. Krishnaveni 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 1
3 1
4 0
5
An Optimal Solution to Minimize the Energy Consumption in Wireless Sensor Networks
3
6
Synthesis, Characterization and CMC Determination of Surfactant-Cobalt(III) Complexes
0
7
Isolation and Purification of Lactobacillus Acidophilus and Analyzing its Influence on Effluent Treatment
2
8 1
9 5
10 12
11 4
12
Microencapsulation of copper enriched Aloe gel curative garment for atopic dermatitis
4
13 23
14 31
15 3
16 7
17
Survey of Routing Protocols in Vehicular Ad-Hoc Network
2
18 5
19 8
20 125

About V. Krishnaveni

V. Krishnaveni is a scholar working on Media Technology, Signal Processing and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 773 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Blind Source Separation Techniques (10 papers) and Advanced Image Fusion Techniques (6 papers). The work is most often cited by research in Signal Processing (220 citations), Media Technology (133 citations) and Cognitive Neuroscience (284 citations). V. Krishnaveni has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jitendra Mohan, Yanhui Guo, Sundaresan Jayaraman, Koushik Ramadoss, T. Ramachandran, M. Senthilkumar, E. Udayakumar, N. Malmurugan, K. Palanivelu and A. Kandaswamy. Their work appears in journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and Pattern Recognition Letters.

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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