Tal Ben‐Nun
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
- Graph Theory and Algorithms
Papers in
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- Parallel Computing and Optimization Techniques 21
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- Computational Physics and Python Applications 5
- Co-authors
- Torsten Hoefler (19 shared papers)Uri Raviv (7 shared papers)Avi Ginsburg (6 shared papers)Amnon Barak (5 shared papers)Sreepathi Pai (3 shared papers)Pablo Székely (2 shared papers)Keshav Pingali (3 shared papers)Shigang Li (4 shared papers)
- Journals
- Journal of Applied Crystallography (2 papers)Computing in Science & Engineering (1 paper)Journal of Structural Biology (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)ACM SIGPLAN Notices (1 paper)
- Partner nations
- SwitzerlandIsraelUnited States
In The Last Decade
Tal Ben‐Nun
39 papers receiving 1.2k citations
Tal Ben‐Nun's Hit Papers
Peers
Comparison fields: 5 of 100
- Hardware and Architecture 299
- Computer Vision and Pattern Recognition 358
- Computer Networks and Communications 355
- Artificial Intelligence 413
- Computational Mathematics 7
Countries citing papers authored by Tal Ben‐Nun
This map shows the geographic impact of Tal Ben‐Nun'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 Tal Ben‐Nun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal Ben‐Nun more than expected).
Fields of papers citing papers by Tal Ben‐Nun
This network shows the impact of papers produced by Tal Ben‐Nun. 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 Tal Ben‐Nun. The network helps show where Tal Ben‐Nun may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal Ben‐Nun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Demystifying Parallel and Distributed Deep Learning Hit paper breakdown → | 2019 | 314 |
| 2 | 2021 | 127 | |
| 3 | 2020 | 93 | |
| 4 | 2017 | 81 | |
| 5 | 2010 | 64 | |
| 6 | 2010 | 60 | |
| 7 | 2019 | 59 | |
| 8 | 2010 | 57 | |
| 9 | 2018 | 49 | |
| 10 | 2019 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2015 | 33 | |
| 13 | 2017 | 27 | |
| 14 | 2017 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 16 | |
| 20 | ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations | 2021 | 14 |
About Tal Ben‐Nun
Tal Ben‐Nun is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Cloud Computing and Resource Management (8 papers), Graph Theory and Algorithms (8 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Neural Network Applications (6 papers), Computational Physics and Python Applications (5 papers), Enzyme Structure and Function (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (299 citations), Computer Vision and Pattern Recognition (358 citations), Computer Networks and Communications (355 citations), Artificial Intelligence (413 citations) and Computational Mathematics (7 citations). Tal Ben‐Nun has collaborated with scholars based in Switzerland, Israel and United States. Frequent co-authors include Torsten Hoefler, Uri Raviv, Avi Ginsburg, Amnon Barak, Sreepathi Pai, Pablo Székely, Keshav Pingali, Shigang Li, Nikoli Dryden and Torsten Hoefler. Their work appears in journals such as Journal of Applied Crystallography, Computing in Science & Engineering, Journal of Structural Biology, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and ACM SIGPLAN Notices.
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.