Yury Nahshan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Signal Processing
- Topics
- Sparse and Compressive Sensing Techniques (2 papers)Advanced Neural Network Applications (2 papers)Advanced Image and Video Retrieval Techniques (1 paper)
- Journals
- arXiv (Cornell University)Neural Information Processing Systems
- Partner nations
- IsraelUnited States
In The Last Decade
Yury Nahshan
3 papers receiving 227 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 185
- Artificial Intelligence 127
- Electrical and Electronic Engineering 60
- Computer Networks and Communications 17
- Signal Processing 14
Countries citing papers authored by Yury Nahshan
This map shows the geographic impact of Yury Nahshan'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 Yury Nahshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yury Nahshan more than expected).
Fields of papers citing papers by Yury Nahshan
This network shows the impact of papers produced by Yury Nahshan. 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 Yury Nahshan. The network helps show where Yury Nahshan may publish in the future.
Co-authorship network of co-authors of Yury Nahshan
This figure shows the co-authorship network connecting the top 25 collaborators of Yury Nahshan. A scholar is included among the top collaborators of Yury Nahshan 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 Yury Nahshan. Yury Nahshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Accurate Post Training Quantization With Small Calibration Sets | 20 |
| 2 | Post training 4-bit quantization of convolutional networks for rapid-deployment | 175 |
| 3 | ACIQ: Analytical Clipping for Integer Quantization of neural networks | 40 |
About Yury Nahshan
Yury Nahshan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Statistical and Nonlinear Physics, having authored 3 papers that have together received 235 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Computational Mathematics (3 citations) and Artificial Intelligence (127 citations). Yury Nahshan has collaborated with scholars based in Israel and United States. Frequent co-authors include Ron Banner, Daniel Soudry, Elad Hoffer, Yair Hanani and Itay Hubara. Their work appears in journals such as arXiv (Cornell University) and Neural Information Processing Systems.
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.