Abdelrahman Mohamed
- Artificial Intelligence top 0.02%
- Signal Processing top 0.01%
- Computer Vision and Pattern Recognition top 0.1%
- Electrical and Electronic Engineering top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- Geoffrey E. HintonAlex GravesGeorge E. DahlNavdeep JaitlyDong YuLi DengTara N. SainathBrian Kingsbury
- Topics
- Speech Recognition and Synthesis (38 papers)Music and Audio Processing (31 papers)Speech and Audio Processing (26 papers)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Abdelrahman Mohamed
50 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Artificial Intelligence 13.1k
- Signal Processing 7.7k
- Computer Vision and Pattern Recognition 4.5k
- Electrical and Electronic Engineering 2.0k
- Cognitive Neuroscience 1.1k
Countries citing papers authored by Abdelrahman Mohamed
This map shows the geographic impact of Abdelrahman Mohamed'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 Abdelrahman Mohamed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdelrahman Mohamed more than expected).
Fields of papers citing papers by Abdelrahman Mohamed
This network shows the impact of papers produced by Abdelrahman Mohamed. 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 Abdelrahman Mohamed. The network helps show where Abdelrahman Mohamed may publish in the future.
Co-authorship network of co-authors of Abdelrahman Mohamed
This figure shows the co-authorship network connecting the top 25 collaborators of Abdelrahman Mohamed. A scholar is included among the top collaborators of Abdelrahman Mohamed 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 Abdelrahman Mohamed. Abdelrahman Mohamed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 41 | |
| 5 | 144 | |
| 6 | 83 | |
| 7 | 9 | |
| 8 | wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations | 155 |
| 9 | 3 | |
| 10 | SEQUENCE MODELING VIA SEGMENTATIONS | 11 |
| 11 | Analysis of Deep Neural Networks with Extended Data Jacobian Matrix | 8 |
| 12 | 72 | |
| 13 | Compressing LSTMs into CNNs. | 3 |
| 14 | Deep Convolutional Neural Networks for Large-scale Speech Tasksbreakdown → | 364 |
| 15 | Deep convolutional neural networks for LVCSRbreakdown → | 723 |
| 16 | Hybrid speech recognition with Deep Bidirectional LSTMbreakdown → | 1138 |
| 17 | Deep Neural Networks for Acoustic Modeling in Speech Recognitionbreakdown → | 1169 |
| 18 | Multiresolution Deep Belief Networks | 12 |
| 19 | Binary coding of speech spectrograms using a deep auto-encoderbreakdown → | 243 |
| 20 | Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine | 185 |
About Abdelrahman Mohamed
Abdelrahman Mohamed is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 21.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (38 papers), Music and Audio Processing (31 papers) and Speech and Audio Processing (26 papers). The work is most often cited by research in Signal Processing (7.7k citations), Artificial Intelligence (13.1k citations) and Computer Vision and Pattern Recognition (4.5k citations). Abdelrahman Mohamed has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Geoffrey E. Hinton, Alex Graves, George E. Dahl, Navdeep Jaitly, Dong Yu, Li Deng, Tara N. Sainath, Brian Kingsbury, Patrick Nguyen and Andrew Senior. Their work appears in journals such as Nature Neuroscience, IEEE Signal Processing Magazine and Neural Networks.
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.