Ariel Ephrat
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
-
- Video Analysis and Summarization
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Generative Adversarial Networks and Image Synthesis 3
- Video Analysis and Summarization 2
- Medical Image Segmentation Techniques 1
- Advanced Vision and Imaging 1
-
- Music and Audio Processing 5
- Speech and Audio Processing 5
- Co-authors
- Tali Dekel (5 shared papers)Inbar Mosseri (5 shared papers)Michael Rubinstein (3 shared papers)William T. Freeman (1 shared paper)Kevin Wilson (1 shared paper)Avinatan Hassidim (1 shared paper)Oran Lang (1 shared paper)Refael Vivanti (2 shared papers)
- Journals
- ACM Transactions on Graphics (3 papers)Lecture notes in computer science (1 paper)Medical & Biological Engineering & Computing (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ariel Ephrat
11 papers receiving 685 citations
Ariel Ephrat's Hit Papers
Peers
Comparison fields: 5 of 69
- Signal Processing 473
- Computer Vision and Pattern Recognition 260
- Artificial Intelligence 235
- Cognitive Neuroscience 99
- Computational Mechanics 71
Countries citing papers authored by Ariel Ephrat
This map shows the geographic impact of Ariel Ephrat'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 Ariel Ephrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Ephrat more than expected).
Fields of papers citing papers by Ariel Ephrat
This network shows the impact of papers produced by Ariel Ephrat. 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 Ariel Ephrat. The network helps show where Ariel Ephrat may publish in the future.
Co-authors
The 24 scholars most cited alongside Ariel Ephrat, 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 | Looking to listen at the cocktail party Hit paper breakdown → | 2018 | 424 |
| 2 | 2017 | 79 | |
| 3 | 2024 | 54 | |
| 4 | 2018 | 38 | |
| 5 | 2023 | 30 | |
| 6 | 2015 | 29 | |
| 7 | 2019 | 22 | |
| 8 | Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech. | 2017 | 11 |
| 9 | 2018 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2025 | 2 |
About Ariel Ephrat
Ariel Ephrat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oceanography, having authored 11 papers that have together received 699 indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Speech and Audio Processing (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Video Analysis and Summarization (2 papers), Advanced X-ray and CT Imaging (1 paper), Medical Image Segmentation Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Signal Processing (473 citations), Computer Vision and Pattern Recognition (260 citations), Artificial Intelligence (235 citations), Cognitive Neuroscience (99 citations) and Computational Mechanics (71 citations). Ariel Ephrat has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Tali Dekel, Inbar Mosseri, Michael Rubinstein, William T. Freeman, Kevin Wilson, Avinatan Hassidim, Oran Lang, Refael Vivanti, Naama Lev‐Cohain and Leo Joskowicz. Their work appears in journals such as ACM Transactions on Graphics, Lecture notes in computer science, Medical & Biological Engineering & Computing and 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.