Saravanan Chandran

904 citations
59 papers · 578 indexed · h-index 12
Topics
Vehicle License Plate Recognition (11 papers)Advanced Data Compression Techniques (11 papers)Handwritten Text Recognition Techniques (11 papers)
Journals
SHILAP Revista de lepidopterologíaLangmuirElectrochimica Acta
Partner nations
IndiaOmanSweden

In The Last Decade

Saravanan Chandran

55 papers receiving 518 citations

Peers

Saravanan Chandran
Comparison fields: 5 of 105
  • Computer Vision and Pattern Recognition 291
  • Media Technology 120
  • Environmental Engineering 84
  • Artificial Intelligence 68
  • Electrical and Electronic Engineering 55
Replace Youssef El Merabet with:
Youssef El Merabet Morocco
Chang Huang China
Shivam Gupta India
Lifeng Zhang Japan
Yiwen Chen China
Shaopeng Guo China
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Saravanan Chandran relative to Youssef El Merabet Morocco Youssef El Merabet's profile →
Citations per field
00.5×4.3×
Youssef El Merabet · 1×
Citations per year

Countries citing papers authored by Saravanan Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Saravanan Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Chandran. A scholar is included among the top collaborators of Saravanan Chandran 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 Saravanan Chandran. Saravanan Chandran 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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6 25
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Contactless palmprint verification system using 2-D gabor filter and principal component analysis.
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8 0
9 5
10 5
11 5
12 26
13 7
14 5
15 10
16 6
17
A Survey of Image Compression Methods
14
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Wavelet and JPEG Based Image Compression: An Experimental Analysis
2
19 4
20 4

About Saravanan Chandran

Saravanan Chandran is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 59 papers that have together received 578 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (11 papers), Advanced Data Compression Techniques (11 papers) and Handwritten Text Recognition Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Media Technology (120 citations) and Environmental Engineering (84 citations). Saravanan Chandran has collaborated with scholars based in India, Oman and Sweden. Frequent co-authors include Rájabather Krishnaraj, Sheela Berchmans, Parimal Pal, Karthikeyan Rajan, G. K. Mahanti, Arijit Das, J. Brijitta, Ulf Olsson, Peter Holmqvist and Vijay Kumar Dwivedi. Their work appears in journals such as SHILAP Revista de lepidopterología, Langmuir and Electrochimica Acta.

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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