Shajith Ikbal

840 total citations
33 papers, 476 citations indexed

About

Shajith Ikbal is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications. According to data from OpenAlex, Shajith Ikbal has authored 33 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Signal Processing and 4 papers in Computer Science Applications. Recurrent topics in Shajith Ikbal's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (9 papers). Shajith Ikbal is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (9 papers). Shajith Ikbal collaborates with scholars based in India, Switzerland and United States. Shajith Ikbal's co-authors include Hemant Misra, H. Bourlard, Hynek Heřmanský, Bikram Sengupta, Hervé Bourlard, James J. Appleton, Sunil Sivadas, Christian Fügen, Matthias Wölfel and John McDonough and has published in prestigious journals such as IBM Journal of Research and Development, Speech Communication and Computer Speech & Language.

In The Last Decade

Shajith Ikbal

32 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shajith Ikbal India 14 323 274 62 45 38 33 476
Ibon Ruiz Spain 8 248 0.8× 108 0.4× 51 0.8× 31 0.7× 71 1.9× 40 411
Ben Yuhas United States 9 205 0.6× 135 0.5× 25 0.4× 99 2.2× 10 0.3× 11 446
Chai Wutiwiwatchai Thailand 11 360 1.1× 246 0.9× 15 0.2× 113 2.5× 23 0.6× 110 544
Hayato Kobayashi Japan 12 257 0.8× 166 0.6× 11 0.2× 105 2.3× 47 1.2× 31 445
J. Fiscus United States 7 770 2.4× 473 1.7× 22 0.4× 148 3.3× 21 0.6× 11 901
Ashish Verma India 13 338 1.0× 239 0.9× 8 0.1× 151 3.4× 62 1.6× 69 563
D. S. Bormane India 12 74 0.2× 91 0.3× 34 0.5× 180 4.0× 24 0.6× 62 407
Chang Hu China 11 185 0.6× 98 0.4× 215 3.5× 60 1.3× 97 2.6× 41 564
Nikko Ström Sweden 12 588 1.8× 261 1.0× 14 0.2× 156 3.5× 21 0.6× 22 679
Trausti Kristjansson United States 16 626 1.9× 731 2.7× 21 0.3× 207 4.6× 63 1.7× 33 1.0k

Countries citing papers authored by Shajith Ikbal

Since Specialization
Citations

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

Fields of papers citing papers by Shajith Ikbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shajith Ikbal. 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 Shajith Ikbal. The network helps show where Shajith Ikbal may publish in the future.

Co-authorship network of co-authors of Shajith Ikbal

This figure shows the co-authorship network connecting the top 25 collaborators of Shajith Ikbal. A scholar is included among the top collaborators of Shajith Ikbal 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 Shajith Ikbal. Shajith Ikbal 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.
Fokoue, Achille, Ibrahim Abdelaziz, Shajith Ikbal, et al.. (2023). An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations. 3221–3229. 1 indexed citations
2.
Garg, Dinesh, et al.. (2019). Quantum Embedding of Knowledge for Reasoning. Neural Information Processing Systems. 32. 5594–5604. 8 indexed citations
3.
Contractor, Danish, et al.. (2015). Smarter learning content management using the Learning Content Hub. IBM Journal of Research and Development. 59(6). 3:1–3:9. 5 indexed citations
4.
Contractor, Danish, Kashyap Popat, Shajith Ikbal, et al.. (2015). Labeling Educational Content with Academic Learning Standards. 136–144. 8 indexed citations
5.
Ikbal, Shajith, et al.. (2014). Predicting student risks through longitudinal analysis. 1544–1552. 36 indexed citations
6.
Majumdar, Debapriyo, et al.. (2011). Privacy protected knowledge management in services with emphasis on quality data. 1889–1894. 4 indexed citations
7.
Raghavan, Preethi, et al.. (2010). Extracting Problem and Resolution Information from Online Discussion Forums. 77. 14 indexed citations
8.
Ikbal, Shajith, Om Deshmukh, Karthik Visweswariah, & Ashish Verma. (2010). Utilizing relationships between named entities to improve speech recognition in dialog systems. 55–60. 1 indexed citations
9.
Subramaniam, L. Venkata, Tanveer A. Faruquie, Shajith Ikbal, Shantanu Godbole, & Mukesh Mohania. (2009). Business Intelligence from Voice of Customer. Proceedings - International Conference on Data Engineering. 1391–1402. 22 indexed citations
10.
Ikbal, Shajith & Karthik Visweswariah. (2008). Learning essential speaker sub-space using hetero-associative neural networks for speaker clustering. 28–31. 1 indexed citations
11.
Parate, Abhinav, Himanshu Pant, Nitendra Rajput, et al.. (2007). Sensei: Spoken language assessment for call center agents. 711–716. 20 indexed citations
12.
Hsiao, Roger, Shajith Ikbal, Qin Jin, et al.. (2006). The ISL TC-STAR Spring 2006 ASR Evaluation Systems. Journal of the Pediatric Infectious Diseases Society. 7(2). 100–103. 15 indexed citations
13.
Fügen, Christian, Matthias Wölfel, John McDonough, et al.. (2006). Advances in lecture recognition: the ISL RT-06s evaluation system. paper 1415–Tue3A2O.2. 13 indexed citations
14.
Ikbal, Shajith, Mathew Magimai.-Doss, Hemant Misra, & Hervé Bourlard. (2004). Spectro-temporal activity pattern (STAP) features for noise robust ASR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2109–2112. 5 indexed citations
15.
Ikbal, Shajith, Hemant Misra, Sunil Sivadas, Hynek Heřmanský, & Hervé Bourlard. (2004). Entropy based combination of tandem representations for noise robust ASR. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2553–2556. 15 indexed citations
16.
Ikbal, Shajith, Hemant Misra, H. Bourlard, & Hynek Heřmanský. (2004). Phase autocorrelation (PAC) features in entropy based multi-stream for robust speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. I–205. 6 indexed citations
17.
Ikbal, Shajith, Hynek Heřmanský, & H. Bourlard. (2004). Nonlinear spectral transformations for robust speech recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 393–398. 11 indexed citations
18.
Ikbal, Shajith, Hemant Misra, & H. Bourlard. (2003). Phase autocorrelation (PAC) derived robust speech features. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 2. II–133. 40 indexed citations
19.
Weber, Katrin, Shajith Ikbal, Samy Bengio, & Hervé Bourlard. (2003). Robust speech recognition and feature extraction using HMM2. Computer Speech & Language. 17(2-3). 195–211. 21 indexed citations
20.
Misra, Hemant, Shajith Ikbal, & B. Yegnanarayana. (2003). Speaker-specific mapping for text-independent speaker recognition. Speech Communication. 39(3-4). 301–310. 20 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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