N. P. Narendra

715 total citations
32 papers, 465 citations indexed

About

N. P. Narendra is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, N. P. Narendra has authored 32 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Signal Processing and 11 papers in Physiology. Recurrent topics in N. P. Narendra's work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (15 papers) and Voice and Speech Disorders (11 papers). N. P. Narendra is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (15 papers) and Voice and Speech Disorders (11 papers). N. P. Narendra collaborates with scholars based in India, Finland and United States. N. P. Narendra's co-authors include Paavo Alku, K. Sreenivasa Rao, Björn W. Schuller, T. S. Srivatsan, Sudhamay Maity, Kanishka Rao, Manu Airaksinen, Brad H. Story, Jainath Yadav and Anil Kumar Vuppala and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Speech Communication.

In The Last Decade

N. P. Narendra

30 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. P. Narendra India	11	296	227	220	104	61	32	465
Rubén Fraile Spain	12	205 0.7×	269 1.2×	154 0.7×	101 1.0×	7 0.1×	47	532
Ki-Seung Lee South Korea	10	172 0.6×	25 0.1×	175 0.8×	37 0.4×	64 1.0×	36	393
Ichiro Fujimoto Japan	8	132 0.4×	135 0.6×	91 0.4×	164 1.6×	11 0.2×	18	298
Beiming Cao United States	10	161 0.5×	104 0.5×	120 0.5×	53 0.5×	3 0.0×	17	286
Jon Gunderson United States	6	283 1.0×	238 1.0×	172 0.8×	127 1.2×	15 0.2×	14	414
David J. Broad United States	9	162 0.5×	90 0.4×	102 0.5×	169 1.6×	28 0.5×	24	271
Agustín Álvarez-Marquina Spain	11	190 0.6×	202 0.9×	175 0.8×	81 0.8×	7 0.1×	73	420
Jinxi Guo China	11	264 0.9×	41 0.2×	187 0.8×	68 0.7×	14 0.2×	43	425
Shigeki Ogawa Japan	7	167 0.6×	210 0.9×	122 0.6×	96 0.9×	4 0.1×	16	332
Tokihiko Kaburagi Japan	11	171 0.6×	86 0.4×	191 0.9×	186 1.8×	6 0.1×	49	320

Countries citing papers authored by N. P. Narendra

Since Specialization

Citations

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

Fields of papers citing papers by N. P. Narendra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. P. Narendra. 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 N. P. Narendra. The network helps show where N. P. Narendra may publish in the future.

Co-authorship network of co-authors of N. P. Narendra

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Narendra, N. P., et al.. (2025). Dynamic Workload Balancing Strategies for IoT Based Fog Network. 1–13.

Narendra, N. P., Björn W. Schuller, & Paavo Alku. (2021). The Detection of Parkinson's Disease From Speech Using Voice Source Information. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1925–1936. 70 indexed citations

Narendra, N. P. & Paavo Alku. (2020). Glottal Source Information for Pathological Voice Detection. IEEE Access. 8. 67745–67755. 57 indexed citations

Narendra, N. P. & Paavo Alku. (2020). Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features. Computer Speech & Language. 65. 101117–101117. 29 indexed citations

Narendra, N. P., et al.. (2019). Influence of Granite Cutting Waste and Recycled Concrete on Properties of Self Compacting Concrete. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 205–208. 2 indexed citations

Rao, K. Sreenivasa & N. P. Narendra. (2018). Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis. 1 indexed citations

Narendra, N. P., et al.. (2018). Efficient Ambiguity Resolution in Polarimetric Multi-View Stereo. 395–399.

Narendra, N. P. & Paavo Alku. (2018). Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences. Aaltodoc (Aalto University). 3403–3407. 39 indexed citations

Narendra, N. P. & K. Sreenivasa Rao. (2017). Parameterization of Excitation Signal for Improving the Quality of HMM-Based Speech Synthesis System. Circuits Systems and Signal Processing. 36(9). 3650–3673. 5 indexed citations

10.

Narendra, N. P., et al.. (2016). Excitation modeling for HMM-based speech synthesis based on principal component analysis. 1–6. 1 indexed citations

11.

Narendra, N. P. & K. Sreenivasa Rao. (2016). Generation of creaky voice for improving the quality of HMM-based speech synthesis. Computer Speech & Language. 42. 38–58. 5 indexed citations

12.

Narendra, N. P. & Kanishka Rao. (2015). Robust Voicing Detection and $$F_{0}$$ F 0 Estimation for HMM-Based Speech Synthesis. Circuits Systems and Signal Processing. 34(8). 2597–2619. 9 indexed citations

13.

Narendra, N. P. & K. Sreenivasa Rao. (2015). Time-domain deterministic plus noise model based hybrid source modeling for statistical parametric speech synthesis. Speech Communication. 77. 65–83. 4 indexed citations

14.

Narendra, N. P. & Kanishka Rao. (2015). Optimal residual frame based source modeling for HMM-based speech synthesis. 1–5. 1 indexed citations

15.

Narendra, N. P., et al.. (2013). An approach to complement electronics courses using virtual environment. 3514. 708–715. 1 indexed citations

16.

Narendra, N. P. & K. Sreenivasa Rao. (2012). Optimal weight tuning method for unit selection cost functions in syllable based text-to-speech synthesis. Applied Soft Computing. 13(2). 773–781. 13 indexed citations

17.

Narendra, N. P. & K. Sreenivasa Rao. (2012). Syllable Specific Unit Selection Cost Functions for Text-to-Speech Synthesis. 9(3). 1–24. 6 indexed citations

18.

Narendra, N. P. & Kanishka Rao. (2011). Syllable specific target cost formulation for syllable based text-to-speech synthesis in Bengali. 2. 180–184. 1 indexed citations

19.

Narendra, N. P., et al.. (2011). Development of Bengali screen reader using Festival speech synthesizer. 1–4. 2 indexed citations

20.

Srivatsan, T. S., et al.. (2000). Tensile deformation and fracture behavior of an oxide dispersion strengthened copper alloy. Materials & Design (1980-2015). 21(3). 191–198. 64 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.

Explore authors with similar magnitude of impact