Nagendra Kumar Goel
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Co-authors
- Daniel PoveyKai FengMartin KarafiátSamuel ThomasArnab GhoshalPetr SchwarzPinar AkyaziAriya Rastrow
- Topics
- Speech Recognition and Synthesis (11 papers)Speech and Audio Processing (8 papers)Music and Audio Processing (4 papers)
- Journals
- Computer Speech & LanguageInternational Journal of Speech TechnologyInfoscience (Ecole Polytechnique Fédérale de Lausanne)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Nagendra Kumar Goel
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 585
- Signal Processing 496
- Experimental and Cognitive Psychology 99
- Computer Vision and Pattern Recognition 43
- Control and Systems Engineering 10
Countries citing papers authored by Nagendra Kumar Goel
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | CaptionAI: A Real-Time Multilingual Captioning Application. | 0 |
| 4 | 5 | |
| 5 | Extracting Speaker's Gender, Accent, Age and Emotional State from Speech. | 3 |
| 6 | 57 | |
| 7 | 87 | |
| 8 | 124 | |
| 9 | 210 | |
| 10 | 19 | |
| 11 | 123 | |
| 12 | 20 | |
| 13 | 4 |
About Nagendra Kumar Goel
Nagendra Kumar Goel is a scholar working on Signal Processing, Artificial Intelligence and Analytical Chemistry, having authored 13 papers that have together received 663 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Signal Processing (496 citations), Artificial Intelligence (585 citations) and Experimental and Cognitive Psychology (99 citations). Nagendra Kumar Goel has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Daniel Povey, Kai Feng, Martin Karafiát, Samuel Thomas, Arnab Ghoshal, Petr Schwarz, Pinar Akyazi, Ariya Rastrow, Ondřej Glembek and Richard C. Rose. Their work appears in journals such as Computer Speech & Language, International Journal of Speech Technology and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.