Arnab Ghoshal
- Signal Processing top 0.2%
- Speech and Audio Processing 22
- Music and Audio Processing 17
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis 31
- Natural Language Processing Techniques 11
- Speech and dialogue systems 6
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- Image Retrieval and Classification Techniques 4
- Linguistics and Language top 10%
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- Complex Network Analysis Techniques 8
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- Spam and Phishing Detection 3
- Co-authors
- Steve RenalsLiang LuDaniel PoveyPaweł ŚwiętojańskiLukáš BurgetKarel VeselýKorbinian RiedhammerTobias Bocklet
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arnab Ghoshal
51 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Signal Processing 1.7k
- Artificial Intelligence 2.2k
- Experimental and Cognitive Psychology 311
- Computer Vision and Pattern Recognition 348
- Linguistics and Language 44
Countries citing papers authored by Arnab Ghoshal
This map shows the geographic impact of Arnab Ghoshal'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 Arnab Ghoshal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Ghoshal more than expected).
Fields of papers citing papers by Arnab Ghoshal
This network shows the impact of papers produced by Arnab Ghoshal. 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 Arnab Ghoshal. The network helps show where Arnab Ghoshal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arnab Ghoshal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 8 | |
| 3 | 2020 | 23 | |
| 4 | 2014 | 1 | |
| 5 | 2014 | 191 | |
| 6 | Proceedings of Interspeech 2013breakdown → | 2013 | 714 |
| 7 | 2013 | 138 | |
| 8 | Sequence-discriminative training of deep neural networksbreakdown → | 2013 | 458 |
| 9 | 2013 | 21 | |
| 10 | Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on | 2012 | 237 |
| 11 | The UEDIN Systems for the IWSLT 2012 Evaluation | 2012 | 11 |
| 12 | Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models | 2012 | 1 |
| 13 | 2012 | 14 | |
| 14 | 2012 | 82 | |
| 15 | 2012 | 5 | |
| 16 | An empirical study in indian share market using neural network and genetic algorithm | 2011 | 1 |
| 17 | Performance evaluation of Neural Network approach in financial prediction: Evidence from Indian Market | 2010 | 13 |
| 18 | Maximum negentropy beamforming with superdirectivity | 2010 | 5 |
| 19 | 2009 | 14 | |
| 20 | Imperial College and Johns Hopkins University at TRECVID. | 2006 | 1 |
About Arnab Ghoshal
Arnab Ghoshal is a scholar working on Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (22 papers), Music and Audio Processing (17 papers), Natural Language Processing Techniques (11 papers), Complex Network Analysis Techniques (8 papers), Speech and dialogue systems (6 papers), Image Retrieval and Classification Techniques (4 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Signal Processing (1.7k citations), Artificial Intelligence (2.2k citations) and Experimental and Cognitive Psychology (311 citations). Arnab Ghoshal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Steve Renals, Liang Lu, Daniel Povey, Paweł Świętojański, Lukáš Burget, Karel Veselý, Korbinian Riedhammer, Tobias Bocklet, Martin Karafiát and Petr Schwarz.
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.