Tal Ben‐Nun

3.1k total citations · 1 hit paper
43 papers, 1.3k citations indexed

About

Tal Ben‐Nun is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tal Ben‐Nun has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 15 papers in Artificial Intelligence and 14 papers in Computer Networks and Communications. Recurrent topics in Tal Ben‐Nun's work include Parallel Computing and Optimization Techniques (21 papers), Graph Theory and Algorithms (8 papers) and Distributed and Parallel Computing Systems (8 papers). Tal Ben‐Nun is often cited by papers focused on Parallel Computing and Optimization Techniques (21 papers), Graph Theory and Algorithms (8 papers) and Distributed and Parallel Computing Systems (8 papers). Tal Ben‐Nun collaborates with scholars based in Switzerland, Israel and United States. Tal Ben‐Nun's co-authors include Torsten Hoefler, Uri Raviv, Avi Ginsburg, Amnon Barak, Pablo Székely, Sreepathi Pai, Keshav Pingali, Shigang Li, Nikoli Dryden and Timo Schneider and has published in prestigious journals such as Langmuir, ACM Computing Surveys and Journal of Applied Crystallography.

In The Last Decade

Tal Ben‐Nun

39 papers receiving 1.2k citations

Hit Papers

Demystifying Parallel and Distributed Deep Learning 2019 2026 2021 2023 2019 100 200 300
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.

  1. Demystifying Parallel and Distributed Deep Learning
    2019 312 citations Tal Ben‐Nun, Torsten Hoefler profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Ben‐Nun Switzerland 18 406 353 353 295 195 43 1.3k
Volodymyr Kindratenko United States 18 180 0.4× 391 1.1× 253 0.7× 432 1.5× 112 0.6× 81 1.2k
Ken A. Hawick New Zealand 17 180 0.4× 413 1.2× 162 0.5× 213 0.7× 101 0.5× 159 1.2k
Tarek El‐Ghazawi United States 21 351 0.9× 707 2.0× 180 0.5× 696 2.4× 168 0.9× 154 1.5k
Michael Mascagni United States 21 242 0.6× 174 0.5× 212 0.6× 111 0.4× 80 0.4× 79 1.2k
Chengyong Wu China 18 602 1.5× 535 1.5× 924 2.6× 765 2.6× 172 0.9× 52 2.5k
Guochun Shi United States 9 187 0.5× 567 1.6× 183 0.5× 584 2.0× 222 1.1× 22 1.2k
Venkatram Vishwanath United States 24 256 0.6× 929 2.6× 240 0.7× 535 1.8× 314 1.6× 124 1.8k
Xinxin Fan China 22 411 1.0× 232 0.7× 148 0.4× 40 0.1× 216 1.1× 98 1.2k
Daehyun Kim United States 17 335 0.8× 770 2.2× 269 0.8× 763 2.6× 243 1.2× 57 1.6k
Sriram Krishnan United States 22 212 0.5× 498 1.4× 200 0.6× 128 0.4× 231 1.2× 59 1.6k

Countries citing papers authored by Tal Ben‐Nun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tal Ben‐Nun

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

All Works

20 of 20 papers shown
1.
Parasyris, Konstantinos, et al.. (2025). Extending RAJA Parallel Programming Abstractions with Just-In-Time Optimization. 1159–1171.
2.
Ben‐Nun, Tal, et al.. (2025). C.A.T.S.: Memory and Control Flow Tracing for Whole-Program Performance Analysis. Open MIND. 331–348.
3.
Ben‐Nun, Tal, et al.. (2024). Low-Depth Spatial Tree Algorithms. 1 indexed citations
4.
Dahm, Johann, Oliver D. Elbert, Jeremy McGibbon, et al.. (2023). Pace v0.2: a Python-based performance-portable atmospheric model. Geoscientific model development. 16(9). 2719–2736. 3 indexed citations
5.
Dubey, Anshu, Tal Ben‐Nun, Bradford L. Chamberlain, Bronis R. de Supinski, & Damian Rouson. (2023). Performance on HPC Platforms Is Possible Without C++. Computing in Science & Engineering. 25(5). 48–52.
6.
Schneider, Timo, et al.. (2023). FuzzyFlow: Leveraging Dataflow To Find and Squash Program Optimization Bugs. 1–15. 1 indexed citations
7.
Raviv, Uri, Roi Asor, Avi Ginsburg, et al.. (2023). Insight into structural biophysics from solution X-ray scattering. Journal of Structural Biology. 215(4). 108029–108029. 6 indexed citations
8.
Ziogas, Alexandros Nikolaos, Timo Schneider, Tal Ben‐Nun, et al.. (2021). Productivity, portability, performance. 1–13. 16 indexed citations
9.
Ziogas, Alexandros Nikolaos, Tal Ben‐Nun, Timo Schneider, & Torsten Hoefler. (2021). NPBench. 63–74. 18 indexed citations
10.
Cummins, Chris, et al.. (2021). ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations. Edinburgh Research Explorer (University of Edinburgh). 2244–2253. 14 indexed citations
11.
Dryden, Nikoli, et al.. (2020). Data Movement Is All You Need: A Case Study of Transformer Networks. arXiv (Cornell University). 3 indexed citations
12.
Ben‐Nun, Tal, et al.. (2020). Groute. 7(3). 1–27. 12 indexed citations
13.
Ginsburg, Avi, et al.. (2019). D+ : software for high-resolution hierarchical modeling of solution X-ray scattering from complex structures. Journal of Applied Crystallography. 52(1). 219–242. 33 indexed citations
14.
Besta, Maciej, Marc Fischer, Tal Ben‐Nun, Johannes de Fine Licht, & Torsten Hoefler. (2019). Substream-Centric Maximum Matchings on FPGA. 152–161. 7 indexed citations
15.
Ben‐Nun, Tal, et al.. (2018). Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling. 12–21. 19 indexed citations
16.
Ben‐Nun, Tal, et al.. (2018). Accelerating Deep Learning Frameworks with Micro-Batches. 402–412. 11 indexed citations
17.
Ben‐Nun, Tal, et al.. (2017). Groute. 235–248. 78 indexed citations
18.
Ben‐Nun, Tal, Amnon Barak, & Uri Raviv. (2016). Spline-based parallel nonlinear optimization of function sequences. Journal of Parallel and Distributed Computing. 93-94. 132–145. 6 indexed citations
19.
Székely, Pablo, Avi Ginsburg, Tal Ben‐Nun, & Uri Raviv. (2010). Solution X-ray Scattering Form Factors of Supramolecular Self-Assembled Structures. Langmuir. 26(16). 13110–13129. 57 indexed citations
20.
Ben‐Nun, Tal, Yoav Etsion, & Dror G. Feitelson. (2010). Design and implementation of a generic resource sharing virtual time dispatcher. 1–11. 2 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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