V. Ramasubramanian

902 total citations
70 papers, 550 citations indexed

About

V. Ramasubramanian is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, V. Ramasubramanian has authored 70 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 36 papers in Signal Processing and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in V. Ramasubramanian's work include Speech Recognition and Synthesis (34 papers), Speech and Audio Processing (33 papers) and Advanced Data Compression Techniques (22 papers). V. Ramasubramanian is often cited by papers focused on Speech Recognition and Synthesis (34 papers), Speech and Audio Processing (33 papers) and Advanced Data Compression Techniques (22 papers). V. Ramasubramanian collaborates with scholars based in India, United States and Germany. V. Ramasubramanian's co-authors include K.K. Paliwal, Adrian Glasser, T.V. Sreenivas, Amit Kale, Dawn Meyer, Arthur Bradley, Pete Kollbaum, Amitava Das, Kaustubh Kulkarni and Martin E. Rickert and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

V. Ramasubramanian

61 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Ramasubramanian India 13 245 241 216 103 97 70 550
Joshua L. Moore United States 8 94 0.4× 102 0.4× 37 0.2× 56 0.5× 19 0.2× 16 258
Youbao Tang China 17 271 1.1× 448 1.9× 54 0.3× 318 3.1× 13 0.1× 30 826
Imtiaz Ahmad Taj Pakistan 13 66 0.3× 299 1.2× 150 0.7× 46 0.4× 10 0.1× 64 520
Jarmila Pavlovičová Slovakia 11 47 0.2× 217 0.9× 90 0.4× 106 1.0× 2 0.0× 53 364
Maria João M. Vasconcelos Portugal 11 118 0.5× 119 0.5× 36 0.2× 31 0.3× 50 0.5× 41 335
Yao-Hung Hubert Tsai United States 11 495 2.0× 322 1.3× 79 0.4× 46 0.4× 11 0.1× 24 622
Giorgos Sfikas Greece 11 295 1.2× 320 1.3× 22 0.1× 72 0.7× 87 0.9× 42 560
Byung Jun Kang South Korea 13 59 0.2× 298 1.2× 475 2.2× 14 0.1× 3 0.0× 23 601
Seyed Mehdi Lajevardi Australia 12 53 0.2× 428 1.8× 135 0.6× 46 0.4× 2 0.0× 22 534
Dattatray V. Jadhav India 10 69 0.3× 220 0.9× 128 0.6× 85 0.8× 2 0.0× 24 349

Countries citing papers authored by V. Ramasubramanian

Since Specialization
Citations

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

Fields of papers citing papers by V. Ramasubramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Ramasubramanian

This figure shows the co-authorship network connecting the top 25 collaborators of V. Ramasubramanian. A scholar is included among the top collaborators of V. Ramasubramanian 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 V. Ramasubramanian. V. Ramasubramanian 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.
Ramasubramanian, V., et al.. (2025). A review of angle kappa and multifocal intraocular lenses and their effect on visual outcomes. Acta Ophthalmologica. 104(2). e122–e138.
2.
Bharadwaj, Anshu, et al.. (2025). Deep learning model BiFPN-YOLOv8m for tree counting in mango orchards using satellite remote sensing data. Scientific Reports. 15(1). 33791–33791.
3.
Rao, Madhav, et al.. (2023). Trainable windows for SincNet architecture. EURASIP Journal on Audio Speech and Music Processing. 2023(1). 2 indexed citations
4.
Ramasubramanian, V., Nicola S. Logan, Susie Jones, et al.. (2023). Myopia Control Dose Delivered to Treated Eyes by a Dual‐focus Myopia‐control Contact Lens. Optometry and Vision Science. 100(6). 376–387. 8 indexed citations
5.
Rao, K. Sreenivasa, et al.. (2021). Approaches for Multilingual Phone Recognition in Code-switched and Non-code-switched Scenarios Using Indian Languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 20(4). 1–19. 1 indexed citations
6.
Ramasubramanian, V., et al.. (2021). Few-Shot learning for frame-Wise phoneme recognition: Adaptation of matching networks. 2021 29th European Signal Processing Conference (EUSIPCO). 516–520. 6 indexed citations
7.
Ramasubramanian, V., et al.. (2020). Accommodative Behavior, Hyperopic Defocus, and Retinal Image Quality in Children Viewing Electronic Displays. Optometry and Vision Science. 97(8). 628–640. 13 indexed citations
8.
Singh, Neeraj Kumar, V. Ramasubramanian, Dawn Meyer, et al.. (2019). Validation of a Clinical Aberrometer Using Pyramidal Wavefront Sensing. Optometry and Vision Science. 96(10). 733–744. 16 indexed citations
9.
Anupama, Krishnamurthy, et al.. (2017). Implications of phytolith records from an Early Historic megalithic burial site at Porunthal in Southern India. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Ramasubramanian, V. & Adrian Glasser. (2015). Objective measurement of accommodative biometric changes using ultrasound biomicroscopy. Journal of Cataract & Refractive Surgery. 41(3). 511–526. 35 indexed citations
11.
Ramasubramanian, V. & Adrian Glasser. (2015). Distortion Correction of Visante Optical Coherence Tomography Cornea Images. Optometry and Vision Science. 92(12). 1170–1181. 12 indexed citations
12.
Ramasubramanian, V., et al.. (2010). Audio analytics by template modeling and 1-pass DP based decoding. 2230–2233. 5 indexed citations
13.
Ramasubramanian, V., et al.. (2008). Low complexity near-optimal unit-selection algorithm for ultra low bit-rate speech coding based on n-best lattice and Viterbi search.. Conference of the International Speech Communication Association. 44. 1 indexed citations
14.
Kale, Amit, et al.. (2008). A Framework for Indexing Human Actions in Video. INRIA a CCSD electronic archive server. 4 indexed citations
15.
Kale, Amit, et al.. (2008). Towards fast, view-invariant human action recognition. 1–8. 34 indexed citations
16.
Ramasubramanian, V., et al.. (2006). Automatic Language Identification Using Ergodic HMM. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 1. 609–612. 13 indexed citations
17.
Ramasubramanian, V., et al.. (2006). Text-dependent speaker-recognition systems based on one-pass dynamic programming algorithm. 1–8. 1 indexed citations
18.
Ramasubramanian, V., et al.. (2003). Language identification using parallel sub-word recognition. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–32. 13 indexed citations
19.
Ramasubramanian, V. & K.K. Paliwal. (1992). An efficient approximation-elimination algorithm for fast-nearest-neighbour search. International Conference on Acoustics, Speech, and Signal Processing. 89–92. 5 indexed citations
20.
Paliwal, K.K. & V. Ramasubramanian. (1989). Effect of ordering the codebook on the efficiency of the partial distance search algorithm for vector quantization. IEEE Transactions on Communications. 37(5). 538–540. 42 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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