E. Chandra

528 citations
45 papers · 333 indexed · h-index 9

Impact in

Papers in

    • Speech and Audio Processing 18
    • Biometric Identification and Security 10
    • Music and Audio Processing 6
    • Blind Source Separation Techniques 5
    • Speech Recognition and Synthesis 21
    • Neural Networks and Applications 4

E. Chandra

40 papers receiving 286 citations

Peers

E. Chandra
Comparison fields: 5 of 74
  • Signal Processing 173
  • Computer Vision and Pattern Recognition 115
  • Artificial Intelligence 147
  • Information Systems 75
  • Software 11
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Citations per field
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Citations per year

Countries citing papers authored by E. Chandra

Since Specialization
Citations

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

Fields of papers citing papers by E. Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside E. Chandra, 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 E. Chandra Line = papers co-authored together E. Chandra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 201846
3 200724
4 201920
5
Class Break Point Determination Using CK Metrics Thresholds
201015
6 201115
7 201513
8 201113
9 20099
10 20168
11
Noise Elimination in Fingerprint Image Using Median Filter
20118
12 20197
13 20157
14
A Review Study on Fingerprint Classification Algorithm used for Fingerprint Identification and Recognition
20127
15 20155
16
Novel Complex Conjugate-Phase Transform technique for cancelable and irrevocable biometric template generation for fingerprints
20124
17 20214
18 20173
19 20053
20 20113

About E. Chandra

E. Chandra is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computational Mechanics, having authored 45 papers that have together received 333 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (18 papers), Biometric Identification and Security (10 papers), Advanced Steganography and Watermarking Techniques (8 papers), Music and Audio Processing (6 papers), Blind Source Separation Techniques (5 papers), Neural Networks and Applications (4 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Signal Processing (173 citations), Computer Vision and Pattern Recognition (115 citations), Artificial Intelligence (147 citations), Information Systems (75 citations) and Software (11 citations). E. Chandra has collaborated with scholars based in India, Singapore and Italy. Frequent co-authors include S. Karpagavalli, Kumar Ravi, Ramaswamy Palaniappan, C. Sunitha, K. Geetha, Santosh Vijaykumar and R Porkodi. Their work appears in journals such as Indian Journal of Science and Technology, Alexandria Engineering Journal, Journal of Intelligent & Fuzzy Systems, Journal of Ambient Intelligence and Humanized Computing and Optik.

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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