Debadatta Pati

417 total citations
39 papers, 269 citations indexed

About

Debadatta Pati is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Debadatta Pati has authored 39 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 31 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Debadatta Pati's work include Speech and Audio Processing (33 papers), Speech Recognition and Synthesis (31 papers) and Music and Audio Processing (23 papers). Debadatta Pati is often cited by papers focused on Speech and Audio Processing (33 papers), Speech Recognition and Synthesis (31 papers) and Music and Audio Processing (23 papers). Debadatta Pati collaborates with scholars based in India. Debadatta Pati's co-authors include Madhusudan Singh, S. R. Mahadeva Prasanna, K. Sreenivasa Rao, Dipanjan Nandi, Kanishka Rao, Rohan Kumar Das and D. Govind and has published in prestigious journals such as Semiconductor Science and Technology, Computer Speech & Language and Sadhana.

In The Last Decade

Debadatta Pati

33 papers receiving 256 citations

Peers

Debadatta Pati
Zhendong Peng China
Tom Bagby United States
Mahsa Yarmohammadi United States
Vitaly Lavrukhin United States
Franco Mana Italy
Venkata Ramana Rao Gadde United States
Vineel Pratap United States
Matt Shannon United Kingdom
D.B. Paul United States
Jay Mahadeokar United States
Zhendong Peng China
Debadatta Pati
Citations per year, relative to Debadatta Pati Debadatta Pati (= 1×) peers Zhendong Peng

Countries citing papers authored by Debadatta Pati

Since Specialization
Citations

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

Fields of papers citing papers by Debadatta Pati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debadatta Pati

This figure shows the co-authorship network connecting the top 25 collaborators of Debadatta Pati. A scholar is included among the top collaborators of Debadatta Pati 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 Debadatta Pati. Debadatta Pati 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.
Pati, Debadatta, et al.. (2023). Usefulness of glottal excitation source information for audio-visual speech recognition system. International Journal of Speech Technology. 26(4). 933–945.
2.
Pati, Debadatta, et al.. (2022). Design and Area Performance Energy Consumption Comparison of Secured Network-on-Chip with PTP and Bus Interconnections. Journal of The Institution of Engineers (India) Series B. 103(5). 1479–1491. 5 indexed citations
3.
Pati, Debadatta, et al.. (2021). Energy consumption and performance comparison of DE optimization and PSO-based IP-core mapping technique for 2D and 3D network-on-chip. Semiconductor Science and Technology. 36(8). 85015–85015. 4 indexed citations
4.
Singh, Madhusudan, et al.. (2021). Detection of replay signals using excitation source and shifted CQCC features. International Journal of Speech Technology. 24(2). 497–507. 6 indexed citations
5.
6.
Singh, Madhusudan & Debadatta Pati. (2019). Countermeasures to Replay Attacks: A Review. IETE Technical Review. 37(6). 599–614. 16 indexed citations
7.
Singh, Madhusudan, et al.. (2018). LP residual features to counter replay attacks. 261–266. 3 indexed citations
8.
9.
Singh, Madhusudan & Debadatta Pati. (2018). Linear Prediction Residual based Short-term Cepstral Features for Replay Attacks Detection. 9 indexed citations
10.
11.
Singh, Madhusudan, et al.. (2017). Development of playback attacks detection system. 1415–1420. 1 indexed citations
12.
Nandi, Dipanjan, Debadatta Pati, & Kanishka Rao. (2016). Implicit processing of LP residual for language identification. Computer Speech & Language. 41. 68–87. 12 indexed citations
13.
Nandi, Dipanjan, Debadatta Pati, & K. Sreenivasa Rao. (2016). Parametric representation of excitation source information for language identification. Computer Speech & Language. 41. 88–115. 14 indexed citations
14.
Nandi, Dipanjan, Debadatta Pati, & Kanishka Rao. (2014). Sub-segmental, segmental and supra-segmental analysis of linear prediction residual signal for language identification. 16. 1–6. 4 indexed citations
15.
Pati, Debadatta & S. R. Mahadeva Prasanna. (2013). Speaker Recognition using Supra-segmental Level Excitation Information. 25–35.
16.
Pati, Debadatta, et al.. (2013). Development of Consonant-Vowel Recognition Systems for Indian languages: Bengali and Odia. 1–6. 8 indexed citations
17.
Pati, Debadatta, et al.. (2010). Speaker Recognition from Excitation Source Perspective. IETE Technical Review. 27(2). 138–138. 6 indexed citations
18.
Pati, Debadatta & S. R. Mahadeva Prasanna. (2010). Speaker information from subband energies of Linear Prediction residual. 10. 1–4. 15 indexed citations
19.
Pati, Debadatta, et al.. (2010). Subsegmental, segmental and suprasegmental processing of linear prediction residual for speaker information. International Journal of Speech Technology. 14(1). 49–64. 20 indexed citations
20.
Pati, Debadatta, et al.. (2008). Non-parametric vector quantization of excitation source information for speaker recognition. 48. 1–4. 7 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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