Jacob Kahn

1.2k total citations · 1 hit paper
5 papers, 536 citations indexed

About

Jacob Kahn is a scholar working on Artificial Intelligence, Signal Processing and Infectious Diseases. According to data from OpenAlex, Jacob Kahn has authored 5 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 0 papers in Infectious Diseases. Recurrent topics in Jacob Kahn's work include Speech Recognition and Synthesis (5 papers), Music and Audio Processing (4 papers) and Natural Language Processing Techniques (3 papers). Jacob Kahn is often cited by papers focused on Speech Recognition and Synthesis (5 papers), Music and Audio Processing (4 papers) and Natural Language Processing Techniques (3 papers). Jacob Kahn collaborates with scholars based in Israel, United States and Canada. Jacob Kahn's co-authors include Awni Hannun, Gabriel Synnaeve, Ronan Collobert, Ann Lee, Vitaliy Liptchinsky, Qiantong Xu, Julien Karadayi, Pierre-Emmanuel Mazaré, Qinmei Xu and Christian Fuegen and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Jacob Kahn

5 papers receiving 503 citations

Hit Papers

Libri-Light: A Benchmark for ASR with Limited or No Super... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Kahn Israel 5 491 280 50 25 11 5 536
Hannah Muckenhirn Switzerland 8 405 0.8× 416 1.5× 36 0.7× 26 1.0× 18 1.6× 11 487
Tanel Alumäe Estonia 11 427 0.9× 118 0.4× 46 0.9× 19 0.8× 6 0.5× 49 484
Qiantong Xu Israel 7 643 1.3× 311 1.1× 80 1.6× 46 1.8× 18 1.6× 12 730
Jan Trmal United States 10 658 1.3× 411 1.5× 53 1.1× 57 2.3× 9 0.8× 23 716
Po-Han Chi Taiwan 2 439 0.9× 293 1.0× 42 0.8× 69 2.8× 11 1.0× 3 527
Vitaliy Liptchinsky Austria 5 347 0.7× 191 0.7× 34 0.7× 19 0.8× 8 0.7× 5 380
Vitaly Lavrukhin United States 6 312 0.6× 214 0.8× 44 0.9× 15 0.6× 7 0.6× 20 371
Matt Shannon United Kingdom 11 317 0.6× 250 0.9× 26 0.5× 16 0.6× 10 0.9× 13 372
Erica Cooper Japan 15 545 1.1× 410 1.5× 61 1.2× 49 2.0× 13 1.2× 58 644
Yanhua Long China 9 226 0.5× 197 0.7× 23 0.5× 18 0.7× 6 0.5× 62 280

Countries citing papers authored by Jacob Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Kahn

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

All Works

5 of 5 papers shown
1.
Zhang, Xiaohui, Zhaoheng Ni, Guangzhi Sun, et al.. (2023). TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch. 1–9. 11 indexed citations
2.
Xu, Qiantong, Tatiana Likhomanenko, Jacob Kahn, et al.. (2020). Iterative Pseudo-Labeling for Speech Recognition. 1006–1010. 63 indexed citations
3.
Kahn, Jacob, Ann Lee, & Awni Hannun. (2020). Self-Training for End-to-End Speech Recognition. arXiv (Cornell University). 7084–7088. 106 indexed citations
4.
Kahn, Jacob, Wenlong Zheng, Eugene Kharitonov, et al.. (2020). Libri-Light: A Benchmark for ASR with Limited or No Supervision. arXiv (Cornell University). 7669–7673. 278 indexed citations breakdown →
5.
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

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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