S. Chandrakala

867 citations
42 papers · 565 · h-index 14

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 11
    • Speech Recognition and Synthesis 11
    • Speech and Audio Processing 14
    • Music and Audio Processing 13
    • Time Series Analysis and Forecasting 7

S. Chandrakala

38 papers receiving 532 citations

Peers

S. Chandrakala
Comparison fields: 5 of 85
  • Signal Processing 187
  • Developmental Biology 23
  • Artificial Intelligence 323
  • Computer Vision and Pattern Recognition 164
  • Computer Networks and Communications 162
Replace Mustafa Sert with:
Mustafa Sert Türkiye
Noureddine Doghmane Algeria
Leonardo Gabrielli Italy
Hiromitsu Nishizaki Japan
M. Elif Karslıgil Türkiye
Philémon Brakel Belgium
Lorena Qendro United Kingdom
Valentin Radu United Kingdom
Maria E. Niessen Netherlands
Sidra Abbas Pakistan
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Citations per year

Countries citing papers authored by S. Chandrakala

Since Specialization
Citations

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

Fields of papers citing papers by S. Chandrakala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201953
3 201236
4 202033
5 202231
6 202027
7 201626
8 201523
9 200823
10 201923
11 201621
12 201717
13 201816
14 201615
15 202112
16 202111
17 200910
18 202110
19 20079
20 20209

About S. Chandrakala

S. Chandrakala is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition and Physiology, having authored 42 papers that have together received 565 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Music and Audio Processing (13 papers), Anomaly Detection Techniques and Applications (11 papers), Speech Recognition and Synthesis (11 papers), Network Security and Intrusion Detection (8 papers), Time Series Analysis and Forecasting (7 papers), Human Pose and Action Recognition (6 papers) and Voice and Speech Disorders (5 papers). The work is most often cited by research in Signal Processing (187 citations), Developmental Biology (23 citations), Artificial Intelligence (323 citations), Computer Vision and Pattern Recognition (164 citations) and Computer Networks and Communications (162 citations). S. Chandrakala has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include K. Deepak, S. Jayalakshmi, C. Krishna Mohan, C. Chandra Sekhar, N. Rajeswari, N. Rajeswari and Mohamed Yacin Sikkandar. Their work appears in journals such as Neural Processing Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Pattern Analysis and Applications, IEEE Transactions on Emerging Topics in Computing and ICT Express.

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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