Awni Hannun

8.7k total citations · 1 hit paper
16 papers, 2.2k citations indexed

About

Awni Hannun is a scholar working on Artificial Intelligence, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Awni Hannun has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Signal Processing and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Awni Hannun's work include Speech Recognition and Synthesis (11 papers), Music and Audio Processing (7 papers) and Natural Language Processing Techniques (6 papers). Awni Hannun is often cited by papers focused on Speech Recognition and Synthesis (11 papers), Music and Audio Processing (7 papers) and Natural Language Processing Techniques (6 papers). Awni Hannun collaborates with scholars based in Israel and United States. Awni Hannun's co-authors include Andrew Y. Ng, Mintu P. Turakhia, Masoumeh Haghpanahi, Pranav Rajpurkar, Geoffrey H. Tison, Jacob Kahn, Ann Lee, Gabriel Synnaeve, Ronan Collobert and Qiantong Xu and has published in prestigious journals such as Nature Medicine, Information and Inference A Journal of the IMA and arXiv (Cornell University).

In The Last Decade

Awni Hannun

15 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

2018 1.8k citations Awni Hannun, Pranav Rajpurkar et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Awni Hannun Israel	9	1.2k	634	595	372	293	16	2.2k
Oh Shu Lih Singapore	12	1.3k 1.0×	1.0k 1.6×	282 0.5×	537 1.4×	273 0.9×	14	2.1k
Masoumeh Haghpanahi United States	7	1.3k 1.0×	642 1.0×	277 0.5×	380 1.0×	300 1.0×	10	1.9k
Vidya K. Sudarshan Singapore	25	1.2k 1.0×	1.1k 1.8×	321 0.5×	439 1.2×	237 0.8×	49	2.5k
Eduardo Luz Brazil	17	1.0k 0.8×	813 1.3×	277 0.5×	426 1.1×	224 0.8×	44	1.6k
Giovanna Sannino Italy	19	454 0.4×	296 0.5×	573 1.0×	332 0.9×	159 0.5×	77	1.7k
Joel E.W. Koh Singapore	29	909 0.7×	1.2k 1.8×	399 0.7×	368 1.0×	165 0.6×	61	2.9k
Lim Choo Min Singapore	19	728 0.6×	719 1.1×	412 0.7×	366 1.0×	166 0.6×	44	2.0k
Sukanta Sabut India	22	546 0.4×	507 0.8×	232 0.4×	563 1.5×	128 0.4×	71	1.6k
Ikaro Silva United States	19	1.3k 1.1×	692 1.1×	294 0.5×	573 1.5×	443 1.5×	28	2.1k
Fahime Khozeimeh Iran	19	330 0.3×	349 0.6×	655 1.1×	110 0.3×	91 0.3×	29	1.8k

Countries citing papers authored by Awni Hannun

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Hannun, Awni, Chuan Guo, & Laurens van der Maaten. (2022). Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5284–5288. 10 indexed citations

2.

Sengupta, Shubho, Vineel Pratap, & Awni Hannun. (2022). Parallel Composition of Weighted Finite-State Transducers. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 23. 6542–6546.

3.

Hsu, Wei-Ning, Ann Lee, Gabriel Synnaeve, & Awni Hannun. (2021). Semi-Supervised end-to-end Speech Recognition via Local Prior Matching. 15. 125–132. 5 indexed citations

4.

Kahn, Jacob, Ann Lee, & Awni Hannun. (2020). Self-Training for End-to-End Speech Recognition. arXiv (Cornell University). 7084–7088. 106 indexed citations

5.

Xu, Qiantong, Tatiana Likhomanenko, Jacob Kahn, et al.. (2020). Iterative Pseudo-Labeling for Speech Recognition. 1006–1010. 63 indexed citations

6.

Guo, Chuan, et al.. (2020). Secure multiparty computations in floating-point arithmetic. Information and Inference A Journal of the IMA. 11(1). 103–135. 6 indexed citations

7.

Collobert, Ronan, Awni Hannun, & Gabriel Synnaeve. (2019). A fully differentiable beam search decoder. International Conference on Machine Learning. 1341–1350. 4 indexed citations

8.

Collobert, Ronan, Awni Hannun, & Gabriel Synnaeve. (2019). Word-level Speech Recognition with a Dynamic Lexicon.. 1 indexed citations

9.

Collobert, Ronan, Awni Hannun, & Gabriel Synnaeve. (2019). Word-level Speech Recognition with a Letter to Word Encoder. arXiv (Cornell University). 1. 2100–2110. 1 indexed citations

10.

Pratap, Vineel, Awni Hannun, Qiantong Xu, et al.. (2019). Wav2Letter++: A Fast Open-source Speech Recognition System. arXiv (Cornell University). 6460–6464. 78 indexed citations

11.

Hannun, Awni, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.. (2018). Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine. 25(1). 65–69. 1794 indexed citations breakdown →

12.

Hannun, Awni. (2017). Sequence Modeling with CTC. 2(11). 34 indexed citations

13.

Diamos, Gregory, Shubho Sengupta, Bryan Catanzaro, et al.. (2016). Persistent RNNs: stashing recurrent weights on-chip. International Conference on Machine Learning. 2024–2033. 36 indexed citations

14.

Zhu, Zhenyao, Jesse Engel, & Awni Hannun. (2016). Learning Multiscale Features Directly from Waveforms. 1305–1309. 30 indexed citations

15.

Wang, Chong, Dani Yogatama, Adam Coates, et al.. (2016). Lookahead Convolution Layer for Unidirectional Recurrent Neural Networks. 5 indexed citations

16.

Maas, Andrew L., et al.. (2014). Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. arXiv (Cornell University). 11 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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