Arnab Ghoshal
- Artificial Intelligence top 0.5%
- Signal Processing top 0.2%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Steve RenalsLiang LuDaniel PoveyPaweł ŚwiętojańskiLukáš BurgetKarel VeselýKorbinian RiedhammerTobias Bocklet
- Topics
- Speech Recognition and Synthesis (31 papers)Speech and Audio Processing (22 papers)Music and Audio Processing (17 papers)
- 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
- Artificial Intelligence 2.2k
- Signal Processing 1.7k
- Computer Vision and Pattern Recognition 348
- Experimental and Cognitive Psychology 311
- Cognitive Neuroscience 144
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 of co-authors of Arnab Ghoshal
This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Ghoshal. A scholar is included among the top collaborators of Arnab Ghoshal 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 Arnab Ghoshal. Arnab Ghoshal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 191 | |
| 6 | Proceedings of Interspeech 2013breakdown → | 714 |
| 7 | 138 | |
| 8 | Sequence-discriminative training of deep neural networksbreakdown → | 458 |
| 9 | 21 | |
| 10 | Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on | 237 |
| 11 | The UEDIN Systems for the IWSLT 2012 Evaluation | 11 |
| 12 | Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models | 1 |
| 13 | 14 | |
| 14 | 82 | |
| 15 | 5 | |
| 16 | An empirical study in indian share market using neural network and genetic algorithm | 1 |
| 17 | Performance evaluation of Neural Network approach in financial prediction: Evidence from Indian Market | 13 |
| 18 | Maximum negentropy beamforming with superdirectivity | 5 |
| 19 | 14 | |
| 20 | Imperial College and Johns Hopkins University at TRECVID. | 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) and Music and Audio Processing (17 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. Their work appears in journals such as Information Sciences, Knowledge-Based Systems and IEEE Signal Processing Letters.
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.