Vipul Arora

610 total citations
44 papers, 363 citations indexed

About

Vipul Arora is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vipul Arora has authored 44 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 13 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vipul Arora's work include Music and Audio Processing (18 papers), Speech and Audio Processing (17 papers) and EEG and Brain-Computer Interfaces (9 papers). Vipul Arora is often cited by papers focused on Music and Audio Processing (18 papers), Speech and Audio Processing (17 papers) and EEG and Brain-Computer Interfaces (9 papers). Vipul Arora collaborates with scholars based in India, United Kingdom and Australia. Vipul Arora's co-authors include Laxmidhar Behera, Tharun Kumar Reddy, Chin‐Teng Lin, Yu–Kai Wang, Aditi Lahiri, Dipankar Chakrabarti, Henning Reetz, Vinay K. Gupta, S. N. Tripathi and Mohit Kumar and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Vipul Arora

38 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vipul Arora India	14	149	131	84	59	43	44	363
Salem Said France	8	243 1.6×	89 0.7×	83 1.0×	76 1.3×	16 0.4×	21	433
Xiaomu Song United States	10	170 1.1×	50 0.4×	39 0.5×	58 1.0×	10 0.2×	33	294
Cédric Gouy‐Pailler France	10	216 1.4×	152 1.2×	104 1.2×	17 0.3×	10 0.2×	29	387
Jun-ichiro Hirayama Japan	9	137 0.9×	47 0.4×	105 1.3×	48 0.8×	31 0.7×	24	318
Atsunori Kanemura Japan	12	212 1.4×	61 0.5×	42 0.5×	133 2.3×	37 0.9×	43	473
Patricia Wollstadt Germany	12	270 1.8×	17 0.1×	89 1.1×	28 0.5×	25 0.6×	31	494
Ting Hu China	8	313 2.1×	139 1.1×	109 1.3×	65 1.1×	8 0.2×	19	452
Montri Phothisonothai Thailand	9	176 1.2×	52 0.4×	46 0.5×	29 0.5×	12 0.3×	42	294
Ana Rita Teixeira Portugal	9	128 0.9×	112 0.9×	38 0.5×	57 1.0×	11 0.3×	46	299

Countries citing papers authored by Vipul Arora

Since Specialization

Citations

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

Fields of papers citing papers by Vipul Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipul Arora

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

All Works

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20 of 20 papers shown

Arora, Vipul, et al.. (2025). Explainable Deep Learning Analysis for Raga Identification in Indian Art Music. IEEE Transactions on Audio Speech and Language Processing. 33. 2302–2311.

Ravi, Nagarathna, et al.. (2024). TeLeS: Temporal Lexeme Similarity Score to Estimate Confidence in End-to-End ASR. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4399–4408.

Singh, Akanksha, Vipul Arora, & Yi‐Ping Phoebe Chen. (2024). An efficient TF-IDF based Query by Example Spoken Term Detection. 170–175. 1 indexed citations

Arora, Vipul, et al.. (2024). AudioNet: Supervised Deep Hashing for Retrieval of Similar Audio Events. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4526–4536.

Singh, Anup, Kris Demuynck, & Vipul Arora. (2024). FlowHash: Accelerating Audio Search With Balanced Hashing via Normalizing Flow. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4961–4970. 1 indexed citations

Arora, Vipul, et al.. (2024). Learning Ontology Informed Representations with Constraints for Acoustic Event Detection. 65. 1086–1090. 1 indexed citations

Arora, Vipul, et al.. (2024). Leveraging Unsupervised Data and Domain Adaptation for Deep Regression in Low-Cost Sensor Calibration. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7277–7286. 1 indexed citations

Gupta, Neha, et al.. (2024). A review on monitoring activities through human activity recognition. Journal of Information and Optimization Sciences. 45(2). 533–543.

Chakrabarti, Dipankar, et al.. (2023). Sampling U(1) gauge theory using a retrainable conditional flow-based model. Physical review. D. 108(7). 5 indexed citations

10.

Hahnloser, Richard H. R., et al.. (2023). Balanced Deep CCA for Bird Vocalization Detection. 1–5.

11.

Ravi, Nagarathna, et al.. (2023). Parturition Hindi Speech Dataset for Automatic Speech Recognition. 2. 1–6. 3 indexed citations

12.

Chakrabarti, Dipankar, et al.. (2023). Conditional normalizing flow for Markov chain Monte Carlo sampling in the critical region of lattice field theory. Physical review. D. 107(1). 17 indexed citations

13.

Arora, Vipul, et al.. (2023). Enc-Dec RNN Acoustic Word Embeddings learned via Pairwise Prediction. 1478–1482.

14.

Singh, Anup, Kris Demuynck, & Vipul Arora. (2023). Simultaneously Learning Robust Audio Embeddings and Balanced Hash Codes for Query-by-Example. Ghent University Academic Bibliography (Ghent University). 1–5. 3 indexed citations

15.

Scheurer, Mathias S., et al.. (2021). Conditional generative models for sampling and phase transition indication in spin systems. SciPost Physics. 11(2). 13 indexed citations

16.

Arora, Vipul, Ming Sun, & Chao Wang. (2019). Deep Embeddings for Rare Audio Event Detection with Imbalanced Data. 3297–3301. 10 indexed citations

17.

Arora, Vipul, et al.. (2016). Attribute based shared hidden layers for cross-language knowledge transfer. 617–623. 3 indexed citations

18.

Arora, Vipul & Laxmidhar Behera. (2014). Instrument identification using PLCA over stretched manifolds. 19. 1–5. 3 indexed citations

19.

Gandhi, Vaibhav, Vipul Arora, Laxmidhar Behera, et al.. (2011). EEG denoising with a recurrent quantum neural network for a brain-computer interface. Ulster University Research Portal (Ulster University). 1583–1590. 10 indexed citations

20.

Gandhi, Vaibhav, Vipul Arora, Laxmidhar Behera, et al.. (2011). A recurrent quantum neural network model enhances the EEG signal for an improved brain-computer interface. 12–12. 6 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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