Krishnan Nallaperumal

905 citations
96 papers · 557 indexed · h-index 13
Topics
Image and Signal Denoising Methods (23 papers)Advanced Image Fusion Techniques (19 papers)Vehicle License Plate Recognition (13 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of the Acoustical Society of AmericaGenomics

In The Last Decade

Krishnan Nallaperumal

87 papers receiving 488 citations

Peers

Krishnan Nallaperumal
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 380
  • Media Technology 190
  • Artificial Intelligence 107
  • Neurology 63
  • Signal Processing 60
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Citations per field
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Citations per year

Countries citing papers authored by Krishnan Nallaperumal

Since Specialization
Citations

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

Fields of papers citing papers by Krishnan Nallaperumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnan Nallaperumal

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnan Nallaperumal. A scholar is included among the top collaborators of Krishnan Nallaperumal 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 Krishnan Nallaperumal. Krishnan Nallaperumal 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
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Analysis and Design of Various Key Pre- Distribution Schemes
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11 3
12 12
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Image Transformation using Modified K- means clustering algorithm for Parallel saliency map
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15 69
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Image Denoising And Enhancement Using Multiwavelet With Hard Threshold In Digital Mammographic Images
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A Novel Approach to Image Denoising by combining Neighshrink and Sureshrink in Wavelet Domain
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Adaptive Source pixel based Prediction for Lossless Intra Coding of H.264 MPEG-4 /AVC
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20
Recognition of Non-symmetric Faces Using Principal Component Analysis.
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About Krishnan Nallaperumal

Krishnan Nallaperumal is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 96 papers that have together received 557 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (23 papers), Advanced Image Fusion Techniques (19 papers) and Vehicle License Plate Recognition (13 papers). The work is most often cited by research in Media Technology (190 citations), Computer Vision and Pattern Recognition (380 citations) and Neurology (63 citations). Krishnan Nallaperumal has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Justin Varghese, Priyan Malarvizhi Kumar, C. Nelson Kennedy Babu, S. Ravi, S. Somasundaram, M. Mohamed Sathik, S. Sujatha, Gerard Deepak, A. Lenin Fred and A. Anitha. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Genomics.

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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