Arnab Ghoshal

4.0k total citations · 2 hit papers
54 papers, 2.9k citations indexed

About

Arnab Ghoshal is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Arnab Ghoshal has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 24 papers in Signal Processing and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Arnab Ghoshal's work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (17 papers). Arnab Ghoshal is often cited by papers focused on Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (22 papers) and Music and Audio Processing (17 papers). Arnab Ghoshal collaborates with scholars based in United States, United Kingdom and India. Arnab Ghoshal's co-authors include Steve Renals, Liang Lu, Daniel Povey, Paweł Świętojański, Lukáš Burget, Karel Veselý, Korbinian Riedhammer, Tobias Bocklet, Martin Karafiát and Petr Schwarz and has published in prestigious journals such as Information Sciences, Knowledge-Based Systems and IEEE Signal Processing Letters.

In The Last Decade

Arnab Ghoshal

51 papers receiving 2.7k citations

Hit Papers

Proceedings of Interspeech 2013 2013 2026 2017 2021 2013 2013 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Proceedings of Interspeech 2013
    2013 714 citations Liang Lu, Arnab Ghoshal et al. profile →
  2. Sequence-discriminative training of deep neural networks
    2013 458 citations Karel Veselý, Arnab Ghoshal et al. Edinburgh Research Explorer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnab Ghoshal United States 20 2.2k 1.7k 348 311 144 54 2.9k
Hsiao-Wuen Hon United States 23 2.9k 1.3× 2.0k 1.2× 635 1.8× 242 0.8× 120 0.8× 65 3.8k
Dawen Liang United States 11 1.4k 0.6× 1.5k 0.9× 965 2.8× 297 1.0× 275 1.9× 27 3.3k
Xuedong Huang United States 31 3.3k 1.5× 2.3k 1.4× 712 2.0× 242 0.8× 168 1.2× 94 4.2k
Sabato Marco Siniscalchi Italy 25 1.4k 0.6× 1.2k 0.7× 187 0.5× 194 0.6× 78 0.5× 128 2.0k
Zhen-Hua Ling China 32 2.9k 1.3× 2.0k 1.2× 452 1.3× 343 1.1× 154 1.1× 247 3.5k
Joe Frankel United Kingdom 18 1.3k 0.6× 1.1k 0.7× 571 1.6× 348 1.1× 142 1.0× 38 2.5k
N. Morgan United States 31 3.3k 1.5× 2.8k 1.7× 407 1.2× 310 1.0× 390 2.7× 63 4.2k
Lei Xie China 33 3.2k 1.5× 2.7k 1.6× 845 2.4× 266 0.9× 157 1.1× 334 4.4k
Alexander Waibel United States 21 2.2k 1.0× 1.4k 0.8× 852 2.4× 137 0.4× 159 1.1× 95 3.3k

Countries citing papers authored by Arnab Ghoshal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ghoshal, Arnab, et al.. (2025). Minimizing spread of misinformation in social networks: a network topology based approach. Social Network Analysis and Mining. 15(1).
2.
Kumar, B. Rushi, et al.. (2023). Outlier detection in social networks leveraging community structure. Information Sciences. 634. 578–586. 8 indexed citations
3.
Ghoshal, Arnab, et al.. (2020). Influence of community structure on misinformation containment in online social networks. Knowledge-Based Systems. 213. 106693–106693. 23 indexed citations
4.
Aylett, Matthew P., et al.. (2014). A flexible front-end for HTS. 1283–1287. 1 indexed citations
5.
Świętojański, Paweł, Arnab Ghoshal, & Steve Renals. (2014). Convolutional Neural Networks for Distant Speech Recognition. IEEE Signal Processing Letters. 21(9). 1120–1124. 191 indexed citations
6.
Lu, Liang, Arnab Ghoshal, & Steve Renals. (2013). Proceedings of Interspeech 2013. 714 indexed citations breakdown →
7.
Ghoshal, Arnab, Paweł Świętojański, & Steve Renals. (2013). Multilingual training of deep neural networks. Edinburgh Research Explorer. 7319–7323. 138 indexed citations
8.
Veselý, Karel, Arnab Ghoshal, Lukáš Burget, & Daniel Povey. (2013). Sequence-discriminative training of deep neural networks. Edinburgh Research Explorer. 2345–2349. 458 indexed citations breakdown →
9.
Lu, Liang, Arnab Ghoshal, & Steve Renals. (2013). Cross-Lingual Subspace Gaussian Mixture Models for Low-Resource Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(1). 17–27. 21 indexed citations
10.
Riedhammer, Korbinian, Tobias Bocklet, Arnab Ghoshal, & Daniel Povey. (2012). Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on. International Conference on Acoustics, Speech, and Signal Processing. 237 indexed citations
11.
Hasler, Eva, Peter Bell, Arnab Ghoshal, et al.. (2012). The UEDIN Systems for the IWSLT 2012 Evaluation. IWSLT. 46–53. 11 indexed citations
12.
Lu, Liang, Arnab Ghoshal, & Steve Renals. (2012). Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models. Edinburgh Research Explorer. 40–45. 1 indexed citations
13.
Lu, Liang, Arnab Ghoshal, & Steve Renals. (2012). Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. Edinburgh Research Explorer (University of Edinburgh). 4877–4880. 14 indexed citations
14.
Świętojański, Paweł, Arnab Ghoshal, & Steve Renals. (2012). Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR. Edinburgh Research Explorer. 246–251. 82 indexed citations
15.
Lu, Liang, K. K. Chin, Arnab Ghoshal, & Steve Renals. (2012). Noise compensation for subspace Gaussian mixture models. Edinburgh Research Explorer (University of Edinburgh). 306–309. 5 indexed citations
16.
Ghoshal, Arnab, et al.. (2011). An empirical study in indian share market using neural network and genetic algorithm. Asian Journal of Research in Banking and Finance. 1(1). 1–19. 1 indexed citations
17.
Mukherjee, Tuhin, et al.. (2010). Performance evaluation of Neural Network approach in financial prediction: Evidence from Indian Market. 597–602. 13 indexed citations
18.
Kumatani, Kenichi, Liang Lu, John McDonough, Arnab Ghoshal, & Dietrich Klakow. (2010). Maximum negentropy beamforming with superdirectivity. European Signal Processing Conference. 2067–2071. 5 indexed citations
19.
Ghoshal, Arnab, et al.. (2009). WEB-derived pronunciations. wss 3. 4289–4292. 14 indexed citations
20.
Ghoshal, Arnab, et al.. (2006). Imperial College and Johns Hopkins University at TRECVID.. TRECVID. 1 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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