S. Chandrakala

853 total citations
41 papers, 545 citations indexed

About

S. Chandrakala is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, S. Chandrakala has authored 41 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 20 papers in Signal Processing and 12 papers in Computer Networks and Communications. Recurrent topics in S. Chandrakala's work include Speech and Audio Processing (14 papers), Music and Audio Processing (13 papers) and Speech Recognition and Synthesis (11 papers). S. Chandrakala is often cited by papers focused on Speech and Audio Processing (14 papers), Music and Audio Processing (13 papers) and Speech Recognition and Synthesis (11 papers). S. Chandrakala collaborates with scholars based in India, United States and Saudi Arabia. S. Chandrakala's co-authors include K. Deepak, S. Jayalakshmi, C. Krishna Mohan, C. Chandra Sekhar, S. Malini, N. Rajeswari, N. Rajeswari and Mohamed Yacin Sikkandar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

S. Chandrakala

38 papers receiving 512 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Chandrakala India 14 315 179 161 159 63 41 545
Noureddine Doghmane Algeria 13 48 0.2× 146 0.8× 190 1.2× 59 0.4× 28 0.4× 59 384
Hiromitsu Nishizaki Japan 10 312 1.0× 124 0.7× 72 0.4× 31 0.2× 39 0.6× 117 542
Joan Claudi Socoró Spain 13 176 0.6× 307 1.7× 82 0.5× 22 0.1× 119 1.9× 55 607
Leonardo Gabrielli Italy 11 88 0.3× 190 1.1× 156 1.0× 39 0.2× 33 0.5× 57 473
Mustafa Sert Türkiye 12 90 0.3× 123 0.7× 131 0.8× 24 0.2× 39 0.6× 53 314
Kyle Feuz United States 8 260 0.8× 50 0.3× 347 2.2× 89 0.6× 56 0.9× 13 556
Lorena Qendro United Kingdom 6 193 0.6× 83 0.5× 331 2.1× 207 1.3× 27 0.4× 12 588
Rajkumar Tekchandani India 14 186 0.6× 48 0.3× 115 0.7× 144 0.9× 25 0.4× 31 584
Anastasis Kounoudes Greece 10 265 0.8× 246 1.4× 79 0.5× 42 0.3× 32 0.5× 27 508
Carolina Parada United States 16 1.1k 3.6× 840 4.7× 217 1.3× 48 0.3× 17 0.3× 24 1.4k

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-authorship network of co-authors of S. Chandrakala

This figure shows the co-authorship network connecting the top 25 collaborators of S. Chandrakala. A scholar is included among the top collaborators of S. Chandrakala 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 S. Chandrakala. S. Chandrakala 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
1.
Chandrakala, S., et al.. (2024). IoT security using deep learning algorithm: intrusion detection model using LSTM. International Journal of Electronic Security and Digital Forensics. 17(1/2). 283–293. 1 indexed citations
2.
Chandrakala, S., et al.. (2024). Spectro Temporal Fusion with CLSTM-Autoencoder based approach for Anomalous Sound Detection. Neural Processing Letters. 56(1). 1 indexed citations
3.
Chandrakala, S.. (2023). Anomalous human activity detection in videos using Bag-of-Adapted-Models-based representation. Pattern Analysis and Applications. 26(3). 1101–1112. 3 indexed citations
4.
Chandrakala, S., et al.. (2023). Denoising Convolutional Autoencoder Based Approach for Disordered Speech Recognition. International Journal of Artificial Intelligence Tools. 33(1).
5.
Chandrakala, S., et al.. (2022). Anomaly detection in surveillance videos: a thematic taxonomy of deep models, review and performance analysis. Artificial Intelligence Review. 56(4). 3319–3368. 29 indexed citations
6.
Chandrakala, S., et al.. (2021). Bag-of-Event-Models based embeddings for detecting anomalies in surveillance videos. Expert Systems with Applications. 190. 116168–116168. 11 indexed citations
7.
Chandrakala, S., et al.. (2021). Investigation of DNN-HMM and Lattice Free Maximum Mutual Information Approaches for Impaired Speech Recognition. IEEE Access. 9. 168840–168849. 5 indexed citations
8.
Chandrakala, S., et al.. (2021). V2AnomalyVec: Deep Discriminative Embeddings for Detecting Anomalous Activities in Surveillance Videos. IEEE Transactions on Computational Social Systems. 9(5). 1307–1316. 5 indexed citations
9.
Deepak, K., et al.. (2020). Autocorrelation of gradients based violence detection in surveillance videos. ICT Express. 6(3). 155–159. 23 indexed citations
10.
Chandrakala, S. & S. Jayalakshmi. (2019). Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition. IEEE Transactions on Multimedia. 22(1). 3–14. 23 indexed citations
11.
Jayalakshmi, S., et al.. (2018). Global statistical features-based approach for Acoustic Event Detection. Applied Acoustics. 139. 113–118. 16 indexed citations
12.
Chandrakala, S., et al.. (2017). Convex-Hull-Based Boundary Detection in Unattended Wireless Sensor Networks. IEEE Sensors Letters. 1(4). 1–4. 17 indexed citations
13.
Chandrakala, S., et al.. (2016). Survey on state scheduling-based topology control in unattended wireless sensor networks. Computers & Electrical Engineering. 56. 334–349. 15 indexed citations
14.
Chandrakala, S., et al.. (2016). Representation Learning Based Speech Assistive System for Persons With Dysarthria. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 25(9). 1510–1517. 25 indexed citations
15.
Chandrakala, S., et al.. (2015). Android OpenCV based effective driver fatigue and distraction monitoring system. 262–266. 23 indexed citations
16.
17.
Chandrakala, S., et al.. (2014). Joint Sentiment/Topic extraction from text. 2. 611–615. 5 indexed citations
18.
Chandrakala, S., et al.. (2012). OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY. SHILAP Revista de lepidopterología. 3(1). 420–427. 34 indexed citations
19.
20.
Chandrakala, S. & C. Chandra Sekhar. (2008). A density based method for multivariate time series clustering in kernel feature space. 1885–1890. 23 indexed citations

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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