Ariel Ephrat

1.1k total citations · 2 hit papers
10 papers, 594 citations indexed

About

Ariel Ephrat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ariel Ephrat has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Ariel Ephrat's work include Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Ariel Ephrat is often cited by papers focused on Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Ariel Ephrat collaborates with scholars based in Israel, United States and United Kingdom. Ariel Ephrat's co-authors include Inbar Mosseri, Tali Dekel, Michael Rubinstein, Oran Lang, Kevin Wilson, William T. Freeman, Avinatan Hassidim, Bezalel Peleg, Leo Joskowicz and Refael Vivanti and has published in prestigious journals such as ACM Transactions on Graphics, Medical & Biological Engineering & Computing and arXiv (Cornell University).

In The Last Decade

Ariel Ephrat

10 papers receiving 581 citations

Hit Papers

Looking to listen at the cocktail party 2018 2026 2020 2023 2018 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ariel Ephrat Israel 7 425 209 206 90 69 10 594
Slim Essid France 15 534 1.3× 178 0.9× 377 1.8× 67 0.7× 40 0.6× 55 719
Yuki Mitsufuji Japan 14 724 1.7× 310 1.5× 181 0.9× 66 0.7× 151 2.2× 65 836
Björn Hoffmeister Germany 18 489 1.2× 715 3.4× 82 0.4× 26 0.3× 45 0.7× 38 850
Simon Leglaive France 8 185 0.4× 163 0.8× 66 0.3× 32 0.4× 43 0.6× 20 352
Antoine Deleforge France 12 235 0.6× 100 0.5× 147 0.7× 37 0.4× 80 1.2× 28 403
Shuai Nie China 12 171 0.4× 176 0.8× 149 0.7× 32 0.4× 47 0.7× 25 346
Eric J. Humphrey United States 13 767 1.8× 224 1.1× 446 2.2× 130 1.4× 49 0.7× 25 856
Baocai Yin China 11 141 0.3× 107 0.5× 192 0.9× 18 0.2× 35 0.5× 57 340
Ryuichi Oka Japan 7 663 1.6× 152 0.7× 527 2.6× 109 1.2× 47 0.7× 58 824
Gilbert Maître Switzerland 7 528 1.2× 157 0.8× 837 4.1× 31 0.3× 36 0.5× 17 1.0k

Countries citing papers authored by Ariel Ephrat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ariel Ephrat

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

All Works

10 of 10 papers shown
1.
Tov, Omer, Shiran Zada, Ariel Ephrat, et al.. (2025). TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space. ACM Transactions on Graphics. 44(4). 1–11. 2 indexed citations
2.
Chefer, Hila, Shiran Zada, Ariel Ephrat, et al.. (2024). Still-Moving: Customized Video Generation without Customized Video Data. ACM Transactions on Graphics. 43(6). 1–11. 3 indexed citations
3.
Bar-Tal, Omer, Hila Chefer, Omer Tov, et al.. (2024). Lumiere: A Space-Time Diffusion Model for Video Generation. 1–11. 45 indexed citations breakdown →
4.
Ephrat, Ariel, Omer Tov, Shiran Zada, et al.. (2023). Teaching CLIP to Count to Ten. 3147–3157. 22 indexed citations
5.
Ephrat, Ariel, et al.. (2019). Dynamic Temporal Alignment of Speech to Lips. 3980–3984. 21 indexed citations
6.
Vivanti, Refael, Leo Joskowicz, Naama Lev‐Cohain, Ariel Ephrat, & Jacob Sosna. (2018). Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies. Medical & Biological Engineering & Computing. 56(9). 1699–1713. 37 indexed citations
7.
Ephrat, Ariel, Inbar Mosseri, Oran Lang, et al.. (2018). Looking to listen at the cocktail party. ACM Transactions on Graphics. 37(4). 1–11. 376 indexed citations breakdown →
8.
Ephrat, Ariel, et al.. (2018). Neural separation of observed and unobserved distributions. arXiv (Cornell University). 2566–2575. 6 indexed citations
9.
Ephrat, Ariel, et al.. (2017). Seeing Through Noise: Speaker Separation and Enhancement using Visually-derived Speech.. arXiv (Cornell University). 11 indexed citations
10.
Ephrat, Ariel & Bezalel Peleg. (2017). Vid2speech: Speech reconstruction from silent video. 5095–5099. 71 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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