Dan Alistarh
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
-
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Optimization and Search Problems
Papers in
-
- Distributed systems and fault tolerance 39
- Optimization and Search Problems 23
-
- Stochastic Gradient Optimization Techniques 18
- Privacy-Preserving Technologies in Data 6
- Cryptography and Data Security 5
- Co-authors
- Jerry Li (8 shared papers)Nir Shavit (11 shared papers)Milan Vojnović (6 shared papers)Kaan Kara (6 shared papers)Alexander Matveev (5 shared papers)Rati Gelashvili (7 shared papers)Seth Gilbert (8 shared papers)Cédric Renggli (2 shared papers)
- Journals
- Distributed Computing (3 papers)ACM SIGPLAN Notices (2 papers)Journal of the ACM (2 papers)ACM SIGCOMM Computer Communication Review (1 paper)Algorithmica (1 paper)
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Dan Alistarh
73 papers receiving 705 citations
Peers
Comparison fields: 5 of 59
- Hardware and Architecture 213
- Computer Networks and Communications 430
- Artificial Intelligence 334
- Computer Vision and Pattern Recognition 158
- Computational Mathematics 2
Countries citing papers authored by Dan Alistarh
This map shows the geographic impact of Dan Alistarh'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 Dan Alistarh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Alistarh more than expected).
Fields of papers citing papers by Dan Alistarh
This network shows the impact of papers produced by Dan Alistarh. 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 Dan Alistarh. The network helps show where Dan Alistarh may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Alistarh, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 58 | |
| 2 | 2015 | 56 | |
| 3 | ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning | 2017 | 52 |
| 4 | 2017 | 50 | |
| 5 | 2014 | 39 | |
| 6 | Byzantine Stochastic Gradient Descent | 2018 | 38 |
| 7 | QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent | 2016 | 35 |
| 8 | 2015 | 24 | |
| 9 | Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks | 2020 | 22 |
| 10 | 2015 | 20 | |
| 11 | 2015 | 18 | |
| 12 | 2017 | 14 | |
| 13 | 2015 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2016 | 10 |
About Dan Alistarh
Dan Alistarh is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 86 papers that have together received 732 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (39 papers), Optimization and Search Problems (23 papers), Parallel Computing and Optimization Techniques (23 papers), Stochastic Gradient Optimization Techniques (18 papers), Advanced Neural Network Applications (10 papers), Sparse and Compressive Sensing Techniques (9 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Hardware and Architecture (213 citations), Computer Networks and Communications (430 citations), Artificial Intelligence (334 citations), Computer Vision and Pattern Recognition (158 citations) and Computational Mathematics (2 citations). Dan Alistarh has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Jerry Li, Nir Shavit, Milan Vojnović, Kaan Kara, Alexander Matveev, Rati Gelashvili, Seth Gilbert, Cédric Renggli, Torsten Hoefler and Zeyuan Allen-Zhu. Their work appears in journals such as Distributed Computing, ACM SIGPLAN Notices, Journal of the ACM, ACM SIGCOMM Computer Communication Review and Algorithmica.
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.