Jonah Alben
Impact in
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- Advanced Neural Network Applications
Papers in
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- Evolutionary Algorithms and Applications 1
- Neural Networks and Applications 1
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- Cellular Automata and Applications 1
- Computability, Logic, AI Algorithms 1
- Numerical Methods and Algorithms 1
- Co-authors
- Paulius Micikevicius (1 shared paper)Gregory Diamos (1 shared paper)Ganesh Venkatesh (1 shared paper)Hao Wu (1 shared paper)Boris Ginsburg (1 shared paper)David Escudero García (1 shared paper)Oleksii Kuchaiev (1 shared paper)Michael Houston (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Jonah Alben
2 papers receiving 58 citations
Peers
Comparison fields: 5 of 21
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 42
- Artificial Intelligence 44
- Hardware and Architecture 7
- Signal Processing 4
Countries citing papers authored by Jonah Alben
This map shows the geographic impact of Jonah Alben'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 Jonah Alben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonah Alben more than expected).
Fields of papers citing papers by Jonah Alben
This network shows the impact of papers produced by Jonah Alben. 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 Jonah Alben. The network helps show where Jonah Alben may publish in the future.
Co-authors
The 10 scholars most cited alongside Jonah Alben, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Mixed Precision Training | 2017 | 62 |
| 2 | 2024 | 2 |
About Jonah Alben
Jonah Alben is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 64 indexed citations. Recurring topics across this work include Cellular Automata and Applications (1 paper), Model Reduction and Neural Networks (1 paper), Evolutionary Algorithms and Applications (1 paper), Neural Networks and Applications (1 paper), Computability, Logic, AI Algorithms (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (42 citations), Artificial Intelligence (44 citations), Hardware and Architecture (7 citations) and Signal Processing (4 citations). Jonah Alben has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Paulius Micikevicius, Gregory Diamos, Ganesh Venkatesh, Hao Wu, Boris Ginsburg, David Escudero García, Oleksii Kuchaiev, Michael Houston, Erich Elsen and Sharan Narang. Their work appears in journals such as 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.