Ariel Ephrat
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
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- Video Analysis and Summarization
- Face recognition and analysis
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Video Analysis and Summarization 2
- Face recognition and analysis 1
- Multimodal Machine Learning Applications 1
- Handwritten Text Recognition Techniques 1
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- Speech and Audio Processing 5
- Music and Audio Processing 5
- Co-authors
- Inbar Mosseri (5 shared papers)Tali Dekel (5 shared papers)Michael Rubinstein (3 shared papers)Avinatan Hassidim (1 shared paper)Oran Lang (1 shared paper)William T. Freeman (1 shared paper)Kevin Wilson (1 shared paper)Bezalel Peleg (3 shared papers)
- Journals
- ACM Transactions on Graphics (3 papers)Medical & Biological Engineering & Computing (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Ariel Ephrat
10 papers receiving 581 citations
Ariel Ephrat's Hit Papers
Peers
Comparison fields: 5 of 66
- Signal Processing 425
- Computer Vision and Pattern Recognition 206
- Artificial Intelligence 209
- Cognitive Neuroscience 90
- Computational Mechanics 69
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 | 376 |
| 2 | 2017 | 71 | |
| 3 | Lumiere: A Space-Time Diffusion Model for Video Generation Hit paper breakdown → | 2024 | 45 |
| 4 | 2018 | 37 | |
| 5 | 2023 | 22 | |
| 6 | 2019 | 21 | |
| 7 | Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech. | 2017 | 11 |
| 8 | 2018 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 2 |
About Ariel Ephrat
Ariel Ephrat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Oceanography and Cognitive Neuroscience, having authored 10 papers that have together received 594 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Video Analysis and Summarization (2 papers), Hearing Loss and Rehabilitation (1 paper), Face recognition and analysis (1 paper), Multimodal Machine Learning Applications (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Signal Processing (425 citations), Computer Vision and Pattern Recognition (206 citations), Artificial Intelligence (209 citations), Cognitive Neuroscience (90 citations) and Computational Mechanics (69 citations). Ariel Ephrat has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Inbar Mosseri, Tali Dekel, Michael Rubinstein, Avinatan Hassidim, Oran Lang, William T. Freeman, Kevin Wilson, Bezalel Peleg, Leo Joskowicz and Naama Lev‐Cohain. Their work appears in journals such as ACM Transactions on Graphics, 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.