Awni Hannun
- Cardiology and Cardiovascular Medicine top 2%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Andrew Y. NgMintu P. TurakhiaGeoffrey H. TisonMasoumeh HaghpanahiPranav RajpurkarJacob KahnAnn LeeGabriel Synnaeve
- Topics
- Speech Recognition and Synthesis (11 papers)Music and Audio Processing (7 papers)Natural Language Processing Techniques (6 papers)
- Journals
- Nature MedicineInformation and Inference A Journal of the IMAarXiv (Cornell University)
- Partner nations
- IsraelUnited States
In The Last Decade
Awni Hannun
15 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cardiology and Cardiovascular Medicine 1.2k
- Cognitive Neuroscience 634
- Artificial Intelligence 595
- Biomedical Engineering 372
- Pulmonary and Respiratory Medicine 293
Countries citing papers authored by Awni Hannun
This map shows the geographic impact of Awni Hannun'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 Awni Hannun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Awni Hannun more than expected).
Fields of papers citing papers by Awni Hannun
This network shows the impact of papers produced by Awni Hannun. 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 Awni Hannun. The network helps show where Awni Hannun may publish in the future.
Co-authorship network of co-authors of Awni Hannun
This figure shows the co-authorship network connecting the top 25 collaborators of Awni Hannun. A scholar is included among the top collaborators of Awni Hannun 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 Awni Hannun. Awni Hannun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 63 | |
| 5 | 106 | |
| 6 | 6 | |
| 7 | A fully differentiable beam search decoder | 4 |
| 8 | Word-level Speech Recognition with a Dynamic Lexicon. | 1 |
| 9 | 1 | |
| 10 | 78 | |
| 11 | Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural networkbreakdown → | 1794 |
| 12 | 34 | |
| 13 | Persistent RNNs: stashing recurrent weights on-chip | 36 |
| 14 | Lookahead Convolution Layer for Unidirectional Recurrent Neural Networks | 5 |
| 15 | 30 | |
| 16 | Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition | 11 |
About Awni Hannun
Awni Hannun is a scholar working on Signal Processing, Artificial Intelligence and Hardware and Architecture, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Music and Audio Processing (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Health Informatics (150 citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Cognitive Neuroscience (634 citations). Awni Hannun has collaborated with scholars based in Israel and United States. Frequent co-authors include Andrew Y. Ng, Mintu P. Turakhia, Geoffrey H. Tison, Masoumeh Haghpanahi, Pranav Rajpurkar, Jacob Kahn, Ann Lee, Gabriel Synnaeve, Ronan Collobert and Qiantong Xu. Their work appears in journals such as Nature Medicine, Information and Inference A Journal of the IMA and arXiv (Cornell University).
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.