Ossama Abdel‐Hamid

4.4k total citations · 2 hit papers
14 papers, 3.0k citations indexed

About

Ossama Abdel‐Hamid is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Ossama Abdel‐Hamid has authored 14 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Signal Processing and 1 paper in Cognitive Neuroscience. Recurrent topics in Ossama Abdel‐Hamid's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (11 papers). Ossama Abdel‐Hamid is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (11 papers). Ossama Abdel‐Hamid collaborates with scholars based in Canada, United States and China. Ossama Abdel‐Hamid's co-authors include Hui Jiang, Abdelrahman Mohamed, Gerald Penn, Li Deng, Dong Yu, Li-Rong Dai, Qingfeng Liu, Hui Jiang, Sherif Abdou and Mohsen Rashwan and has published in prestigious journals such as The Laryngoscope and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Ossama Abdel‐Hamid

14 papers receiving 2.8k citations

Hit Papers

Convolutional Neural Networks for Speech Recognition 2012 2026 2016 2021 2014 2012 500 1000 1.5k

Peers

Ossama Abdel‐Hamid
Hui Jiang Canada
Françoise Beaufays United States
Alexander Waibel United States
Haşim Sak United States
Bhuvana Ramabhadran United States
Michael L. Seltzer United States
Özgür Çetin United States
Joe Frankel United Kingdom
Roberto Togneri Australia
Hui Jiang Canada
Ossama Abdel‐Hamid
Citations per year, relative to Ossama Abdel‐Hamid Ossama Abdel‐Hamid (= 1×) peers Hui Jiang

Countries citing papers authored by Ossama Abdel‐Hamid

Since Specialization
Citations

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

Fields of papers citing papers by Ossama Abdel‐Hamid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ossama Abdel‐Hamid. 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 Ossama Abdel‐Hamid. The network helps show where Ossama Abdel‐Hamid may publish in the future.

Co-authorship network of co-authors of Ossama Abdel‐Hamid

This figure shows the co-authorship network connecting the top 25 collaborators of Ossama Abdel‐Hamid. A scholar is included among the top collaborators of Ossama Abdel‐Hamid 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 Ossama Abdel‐Hamid. Ossama Abdel‐Hamid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Huang, Rongqing, et al.. (2020). Class LM and Word Mapping for Contextual Biasing in End-to-End ASR. 4348–4351. 26 indexed citations
2.
Kalinli, Ozlem, et al.. (2019). Bandwidth Embeddings for Mixed-Bandwidth Speech Recognition. 3203–3207. 2 indexed citations
3.
Abdel‐Hamid, Ossama, et al.. (2014). Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code. 6339–6343. 46 indexed citations
4.
Abdel‐Hamid, Ossama, et al.. (2014). Fast Adaptation of Deep Neural Network Based on Discriminant Codes for Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(12). 1713–1725. 100 indexed citations
5.
Abdel‐Hamid, Ossama, Abdelrahman Mohamed, Hui Jiang, et al.. (2014). Convolutional Neural Networks for Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(10). 1533–1545. 1566 indexed citations breakdown →
6.
Wilkinson, Eric P., Ossama Abdel‐Hamid, John J. Galvin, Hui Jiang, & Qian‐Jie Fu. (2013). Voice conversion in cochlear implantation. The Laryngoscope. 123(S3). S29–43. 5 indexed citations
7.
Abdel‐Hamid, Ossama, Li Deng, & Dong Yu. (2013). Exploring convolutional neural network structures and optimization techniques for speech recognition. 3366–3370. 256 indexed citations
8.
Abdel‐Hamid, Ossama & Hui Jiang. (2013). Rapid and effective speaker adaptation of convolutional neural network based models for speech recognition. 1248–1252. 43 indexed citations
9.
Abdel‐Hamid, Ossama, Li Deng, Dong Yu, & Hui Jiang. (2013). Deep segmental neural networks for speech recognition. 27 indexed citations
10.
Deng, Li, Ossama Abdel‐Hamid, & Dong Yu. (2013). A deep convolutional neural network using heterogeneous pooling for trading acoustic invariance with phonetic confusion. 6669–6673. 117 indexed citations
11.
Abdel‐Hamid, Ossama & Hui Jiang. (2013). Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code. 7942–7946. 153 indexed citations
12.
Abdel‐Hamid, Ossama, Abdelrahman Mohamed, Hui Jiang, & Gerald Penn. (2012). Applying Convolutional Neural Networks concepts to hybrid NN-HMM model for speech recognition. 4277–4280. 593 indexed citations breakdown →
13.
Abdel‐Hamid, Ossama, Sherif Abdou, & Mohsen Rashwan. (2006). Improving Arabic HMM based speech synthesis quality. 22 indexed citations
14.
Abdou, Sherif, et al.. (2006). Computer aided pronunciation learning system using speech recognition techniques. paper 1888–Tue1WeS.9. 44 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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