M. Padmanabhan

1.4k total citations
61 papers, 947 citations indexed

About

M. Padmanabhan is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Padmanabhan has authored 61 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Signal Processing, 39 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Padmanabhan's work include Speech and Audio Processing (37 papers), Speech Recognition and Synthesis (34 papers) and Music and Audio Processing (16 papers). M. Padmanabhan is often cited by papers focused on Speech and Audio Processing (37 papers), Speech Recognition and Synthesis (34 papers) and Music and Audio Processing (16 papers). M. Padmanabhan collaborates with scholars based in United States, Canada and Hungary. M. Padmanabhan's co-authors include George Saon, Geoffrey Zweig, Michael Picheny, S. Dharanipragada, L.R. Bahl, K. Martin, R. Gopinath, D. Nahamoo, Lidia Mangu and Jing Huang and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE Journal of Solid-State Circuits.

In The Last Decade

M. Padmanabhan

59 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Padmanabhan United States 18 749 589 155 75 75 61 947
K.-F. Lee United States 9 1.1k 1.4× 895 1.5× 201 1.3× 32 0.4× 25 0.3× 11 1.2k
C.-H. Lee United States 15 1.1k 1.4× 889 1.5× 223 1.4× 53 0.7× 17 0.2× 34 1.3k
Ehsan Variani United States 11 939 1.3× 884 1.5× 83 0.5× 63 0.8× 32 0.4× 22 1.1k
Aaron E. Cohen United States 9 203 0.3× 285 0.5× 124 0.8× 82 1.1× 79 1.1× 26 521
Nikko Ström Sweden 12 588 0.8× 261 0.4× 156 1.0× 47 0.6× 75 1.0× 22 679
G. Kopec United States 14 328 0.4× 237 0.4× 376 2.4× 43 0.6× 19 0.3× 46 694
B. Raj United States 16 683 0.9× 843 1.4× 125 0.8× 181 2.4× 36 0.5× 29 953
Ebru Arısoy Türkiye 15 888 1.2× 242 0.4× 211 1.4× 27 0.4× 37 0.5× 40 1.0k
Jan Skoglund United States 15 272 0.4× 643 1.1× 423 2.7× 200 2.7× 69 0.9× 61 831
Wangyou Zhang China 14 830 1.1× 693 1.2× 54 0.3× 61 0.8× 30 0.4× 43 1.0k

Countries citing papers authored by M. Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by M. Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Padmanabhan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Padmanabhan. A scholar is included among the top collaborators of M. Padmanabhan 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 M. Padmanabhan. M. Padmanabhan 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.
Padmanabhan, M. & S. Dharanipragada. (2005). Maximizing information content in feature extraction. IEEE Transactions on Speech and Audio Processing. 13(4). 512–519. 18 indexed citations
2.
Kingsbury, Brian, George Saon, Lidia Mangu, M. Padmanabhan, & Ruhi Sarikaya. (2002). Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system. IEEE International Conference on Acoustics Speech and Signal Processing. I–53. 37 indexed citations
3.
Padmanabhan, M. & Ken Martin. (2002). Comparison of correlator configurations for FSK demodulation. 1. 1203–1206. 2 indexed citations
4.
Padmanabhan, M., L.R. Bahl, D. Nahamoo, & Michael Picheny. (2002). Speaker clustering and transformation for speaker adaptation in large-vocabulary speech recognition systems. 2. 701–704. 13 indexed citations
5.
Bahl, L.R., Martin Franz, P.S. Gopalakrishnan, et al.. (2002). Performance of the IBM large vocabulary continuous speech recognition system on the ARPA Wall Street Journal task. 1. 41–44. 44 indexed citations
6.
Bahl, L.R. & M. Padmanabhan. (2002). A discriminant measure for model complexity adaptation. 1. 453–456. 4 indexed citations
7.
Gopalakrishnan, P.S., D. Nahamoo, M. Padmanabhan, & Michael Picheny. (2002). A channel-bank-based phone detection strategy. ii. II/161–II/164. 3 indexed citations
8.
Padmanabhan, M., Ellen Eide, Bhuvana Ramabhadran, Ganesh N. Ramaswamy, & L.R. Bahl. (2002). Speech recognition performance on a voicemail transcription task. 2. 913–916. 9 indexed citations
9.
Padmanabhan, M. & Michael Picheny. (2002). Large-vocabulary speech recognition algorithms. Computer. 35(4). 42–50. 19 indexed citations
10.
Padmanabhan, M., George Saon, Geoffrey Zweig, et al.. (2002). Evolution of the performance of automatic speech recognition algorithms in transcribing conversational telephone speech. 3. 1926–1931. 1 indexed citations
11.
Saon, George, Geoffrey Zweig, & M. Padmanabhan. (2001). Linear Feature Space Transformations for Speaker Adaptation. International Conference on Acoustics, Speech, and Signal Processing. 3 indexed citations
12.
Saon, George & M. Padmanabhan. (2001). Data-driven approach to designing compound words for continuous speech recognition. IEEE Transactions on Speech and Audio Processing. 9(4). 327–332. 52 indexed citations
13.
Saon, George & M. Padmanabhan. (2000). Minimum Bayes Error Feature Selection for Continuous Speech Recognition. Neural Information Processing Systems. 13. 800–806. 38 indexed citations
14.
Dharanipragada, S. & M. Padmanabhan. (2000). A nonlinear unsupervised adaptation technique for speech recognition. vol. 4, 556–559. 51 indexed citations
15.
Huang, Jing & M. Padmanabhan. (1999). A study of adaptation techniques on a voicemail transcription task. 13–16. 2 indexed citations
16.
Zweig, Geoffrey & M. Padmanabhan. (1999). Dependency modeling with bayesian networks in a voicemail transcription system. 1135–1138. 6 indexed citations
17.
Padmanabhan, M., Bhuvana Ramabhadran, & Sankar Basu. (1998). Speech recognition performance on a new voicemail transcription task. paper 0210–0. 2 indexed citations
18.
Gao, Yuqing, M. Padmanabhan, & Michael Picheny. (1997). Speaker adaptation based on pre-clustering training speakers. 2091–2094. 24 indexed citations
19.
Padmanabhan, M., Ken Martin, & G. Péceli. (1995). Feedback-Based Orthogonal Digital Filters: Theory, Applications, and Implementation. Kluwer Academic Publishers eBooks. 4 indexed citations
20.
Padmanabhan, M. & K. Martin. (1994). A CMOS analog multi-sinusoidal phase-locked-loop. IEEE Journal of Solid-State Circuits. 29(9). 1046–1057. 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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