Anurag Chowdhury

421 total citations
13 papers, 271 citations indexed

About

Anurag Chowdhury is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Anurag Chowdhury has authored 13 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Anurag Chowdhury's work include Speech and Audio Processing (6 papers), Biometric Identification and Security (5 papers) and Speech Recognition and Synthesis (5 papers). Anurag Chowdhury is often cited by papers focused on Speech and Audio Processing (6 papers), Biometric Identification and Security (5 papers) and Speech Recognition and Synthesis (5 papers). Anurag Chowdhury collaborates with scholars based in United States, India and Austria. Anurag Chowdhury's co-authors include Arun Ross, Sudipta Banerjee, Mayank Vatsa, Richa Singh, Andreas Uhl, Yousef Atoum, Gaurav Goswami, Luan Tran, Xiaoming Liu and Saleh Almasabi and has published in prestigious journals such as Pattern Recognition Letters, Information Fusion and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Anurag Chowdhury

13 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag Chowdhury United States 8 154 109 97 33 15 13 271
A. Revathi India 9 181 1.2× 70 0.6× 133 1.4× 20 0.6× 12 0.8× 53 276
Aladdin Ariyaeeinia United Kingdom 10 208 1.4× 200 1.8× 144 1.5× 34 1.0× 5 0.3× 25 349
Daniel González-Jiménez Spain 9 166 1.1× 244 2.2× 55 0.6× 41 1.2× 18 1.2× 17 351
Ankan Bansal United States 5 99 0.6× 212 1.9× 38 0.4× 20 0.6× 13 0.9× 6 279
Yake Wei China 5 83 0.5× 140 1.3× 118 1.2× 15 0.5× 5 0.3× 8 271
Bartosz Ziółko Poland 10 118 0.8× 65 0.6× 128 1.3× 9 0.3× 7 0.5× 59 259
Jerneja Žganec Gros Slovenia 8 78 0.5× 67 0.6× 90 0.9× 23 0.7× 19 1.3× 43 209
Lars Maaløe Denmark 8 121 0.8× 103 0.9× 281 2.9× 8 0.2× 6 0.4× 18 389
Andrew Morris Switzerland 10 250 1.6× 54 0.5× 284 2.9× 27 0.8× 4 0.3× 25 384

Countries citing papers authored by Anurag Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Chowdhury. A scholar is included among the top collaborators of Anurag Chowdhury 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 Anurag Chowdhury. Anurag Chowdhury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Chowdhury, Anurag, et al.. (2023). Voice Morphing: Two Identities in One Voice. 1–6. 1 indexed citations
3.
Singh, Gagandeep, Suman Sharma, Namita Bansal, et al.. (2022). A cluster‐randomized trial comparing home‐based primary health care and usual clinic care for epilepsy in a resource‐limited country. Epilepsia Open. 7(4). 781–791. 5 indexed citations
4.
Ross, Arun, Sudipta Banerjee, & Anurag Chowdhury. (2022). Deducing health cues from biometric data. Computer Vision and Image Understanding. 221. 103438–103438. 12 indexed citations
5.
Chowdhury, Anurag, et al.. (2022). Domain Adaptation for Speaker Recognition in Singing and Spoken Voice. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7192–7196. 4 indexed citations
6.
Ross, Arun, Sudipta Banerjee, & Anurag Chowdhury. (2020). Security in smart cities: A brief review of digital forensic schemes for biometric data. Pattern Recognition Letters. 138. 346–354. 51 indexed citations
7.
Bera, Atri, Anurag Chowdhury, Joydeep Mitra, Saleh Almasabi, & Mohammed Benidris. (2020). Data-driven Assessment of Power System Reliability in Presence of Renewable Energy. 1–6. 7 indexed citations
8.
Chowdhury, Anurag, et al.. (2020). Can a CNN Automatically Learn the Significance of Minutiae Points for Fingerprint Matching?. 340–348. 22 indexed citations
9.
Chowdhury, Anurag & Arun Ross. (2019). Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals. IEEE Transactions on Information Forensics and Security. 15. 1616–1629. 112 indexed citations
10.
Chowdhury, Anurag, Yousef Atoum, Luan Tran, Xiaoming Liu, & Arun Ross. (2018). MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos. 3567–3573. 16 indexed citations
11.
12.
Chowdhury, Anurag, et al.. (2017). Unconstrained Kinect video face database. Information Fusion. 44. 113–125. 13 indexed citations
13.
Chowdhury, Anurag, et al.. (2016). RGB-D face recognition via learning-based reconstruction. 43. 1–7. 18 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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2026