Nagendra Kumar Goel

928 total citations
13 papers, 663 citations indexed

About

Nagendra Kumar Goel is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nagendra Kumar Goel has authored 13 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nagendra Kumar Goel's work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (4 papers). Nagendra Kumar Goel is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (4 papers). Nagendra Kumar Goel collaborates with scholars based in India, United States and Germany. Nagendra Kumar Goel's co-authors include Daniel Povey, Samuel Thomas, Lukáš Burget, Richard C. Rose, Mohit Agarwal, Ariya Rastrow, Arnab Ghoshal, Pinar Akyazi, Kai Feng and Petr Schwarz and has published in prestigious journals such as Computer Speech & Language, International Journal of Speech Technology and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Nagendra Kumar Goel

12 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nagendra Kumar Goel India	8	585	496	99	43	10	13	663
Ariya Rastrow United States	16	905 1.5×	562 1.1×	50 0.5×	59 1.4×	10 1.0×	54	955
Cheng-I Lai United States	10	718 1.2×	567 1.1×	80 0.8×	104 2.4×	8 0.8×	14	875
Kai Feng Czechia	6	472 0.8×	396 0.8×	28 0.3×	35 0.8×	9 0.9×	9	518
Herman Kamper South Africa	14	573 1.0×	349 0.7×	63 0.6×	101 2.3×	6 0.6×	51	667
Petr Schwarz Czechia	16	1.3k 2.3×	1.1k 2.2×	72 0.7×	112 2.6×	12 1.2×	27	1.4k
Kyu J. Han United States	12	371 0.6×	311 0.6×	50 0.5×	44 1.0×	7 0.7×	38	456
Jenthe Thienpondt Belgium	6	792 1.4×	704 1.4×	42 0.4×	75 1.7×	4 0.4×	13	894
Hannah Muckenhirn Switzerland	8	405 0.7×	416 0.8×	26 0.3×	36 0.8×	4 0.4×	11	487
P. Kohn United States	7	331 0.6×	316 0.6×	33 0.3×	56 1.3×	5 0.5×	12	403
Pinar Akyazi Switzerland	9	474 0.8×	427 0.9×	28 0.3×	131 3.0×	6 0.6×	17	606

Countries citing papers authored by Nagendra Kumar Goel

Since Specialization

Citations

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

Fields of papers citing papers by Nagendra Kumar Goel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nagendra Kumar Goel. 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 Nagendra Kumar Goel. The network helps show where Nagendra Kumar Goel may publish in the future.

Co-authorship network of co-authors of Nagendra Kumar Goel

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

All Works

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13 of 13 papers shown

Wiesner, Matthew, Mousmita Sarma, Ashish Arora, et al.. (2021). Training Hybrid Models on Noisy Transliterated Transcripts for Code-Switched Speech Recognition. 2906–2910. 3 indexed citations

Sarma, Mousmita, Kandarpa Kumar Sarma, & Nagendra Kumar Goel. (2020). Multi-task learning DNN to improve gender identification from speech leveraging age information of the speaker. International Journal of Speech Technology. 23(1). 223–240. 8 indexed citations

Goel, Nagendra Kumar, et al.. (2019). CaptionAI: A Real-Time Multilingual Captioning Application.. Conference of the International Speech Communication Association. 4632–4633.

Sarma, Mousmita, Pegah Ghahremani, Daniel Povey, et al.. (2019). Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN. 3925–3929. 5 indexed citations

Goel, Nagendra Kumar, et al.. (2018). Extracting Speaker's Gender, Accent, Age and Emotional State from Speech.. Conference of the International Speech Communication Association. 2384–2385. 3 indexed citations

Xu, Hainan, Tongfei Chen, Yiming Wang, et al.. (2018). A Pruned Rnnlm Lattice-Rescoring Algorithm for Automatic Speech Recognition. 5929–5933. 57 indexed citations

Sarma, Mousmita, Pegah Ghahremani, Daniel Povey, et al.. (2018). Emotion Identification from Raw Speech Signals Using DNNs. 3097–3101. 87 indexed citations

Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). Subspace Gaussian Mixture Models for speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 124 indexed citations

Ghoshal, Arnab, Daniel Povey, Mohit Agarwal, et al.. (2010). A novel estimation of feature-space MLLR for full-covariance models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). i. 4310–4313. 19 indexed citations

10.

Burget, Lukáš, Petr Schwarz, Mohit Agarwal, et al.. (2010). Multilingual acoustic modeling for speech recognition based on subspace Gaussian Mixture Models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 123 indexed citations

11.

Povey, Daniel, Lukáš Burget, Mohit Agarwal, et al.. (2010). The subspace Gaussian mixture model—A structured model for speech recognition. Computer Speech & Language. 25(2). 404–439. 210 indexed citations

12.

Goel, Nagendra Kumar, Samuel Thomas, Mohit Agarwal, et al.. (2010). Approaches to automatic lexicon learning with limited training examples. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 20 indexed citations

13.

Goel, Nagendra Kumar & R. Gopinath. (2002). Multiple linear transforms. 1. 481–484. 4 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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