Inbar Mosseri

2.0k total citations · 3 hit papers
15 papers, 1.1k citations indexed

About

Inbar Mosseri is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Inbar Mosseri has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Cognitive Neuroscience. Recurrent topics in Inbar Mosseri's work include Generative Adversarial Networks and Image Synthesis (8 papers), Video Analysis and Summarization (3 papers) and Image and Signal Denoising Methods (2 papers). Inbar Mosseri is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Video Analysis and Summarization (3 papers) and Image and Signal Denoising Methods (2 papers). Inbar Mosseri collaborates with scholars based in Israel, United States and Singapore. Inbar Mosseri's co-authors include Tali Dekel, Oran Lang, Michal Irani, Omer Tov, Ariel Ephrat, William T. Freeman, Shiran Zada, Avinatan Hassidim, Michael Rubinstein and Kevin Wilson and has published in prestigious journals such as ACM Transactions on Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Inbar Mosseri

14 papers receiving 1.0k citations

Hit Papers

Looking to listen at the cocktail party 2018 2026 2020 2023 2018 2023 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
Inbar Mosseri Israel 10 654 356 261 126 115 15 1.1k
Tali Dekel Israel 16 1.1k 1.7× 384 1.1× 291 1.1× 175 1.4× 246 2.1× 32 1.6k
Oran Lang Israel 6 445 0.7× 384 1.1× 293 1.1× 102 0.8× 96 0.8× 7 913
M. Fatih Demirci Türkiye 14 516 0.8× 326 0.9× 218 0.8× 124 1.0× 39 0.3× 55 957
Supasorn Suwajanakorn Thailand 10 1.1k 1.6× 282 0.8× 192 0.7× 100 0.8× 50 0.4× 22 1.3k
Yijun Li United States 16 1.2k 1.9× 110 0.3× 190 0.7× 61 0.5× 203 1.8× 42 1.4k
Youngjung Uh South Korea 9 1.2k 1.9× 87 0.2× 276 1.1× 75 0.6× 175 1.5× 35 1.4k
Long Mai United States 18 1.5k 2.3× 184 0.5× 156 0.6× 51 0.4× 122 1.1× 32 1.8k
Martin Eisemann Germany 14 729 1.1× 102 0.3× 131 0.5× 83 0.7× 226 2.0× 51 824
Yunjey Choi South Korea 5 970 1.5× 68 0.2× 211 0.8× 64 0.5× 138 1.2× 6 1.1k

Countries citing papers authored by Inbar Mosseri

Since Specialization
Citations

This map shows the geographic impact of Inbar Mosseri'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 Inbar Mosseri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inbar Mosseri more than expected).

Fields of papers citing papers by Inbar Mosseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inbar Mosseri. 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 Inbar Mosseri. The network helps show where Inbar Mosseri may publish in the future.

Co-authorship network of co-authors of Inbar Mosseri

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

All Works

15 of 15 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.
Zada, Shiran, David Jacobs, Yael Pritch, et al.. (2025). ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning. 2050–2062. 1 indexed citations
3.
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
4.
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 →
5.
Ephrat, Ariel, Omer Tov, Shiran Zada, et al.. (2023). Teaching CLIP to Count to Ten. 3147–3157. 22 indexed citations
6.
Kawar, Bahjat, Shiran Zada, Oran Lang, et al.. (2023). Imagic: Text-Based Real Image Editing with Diffusion Models. 6007–6017. 364 indexed citations breakdown →
7.
Nitzan, Yotam, Kfir Aberman, Orly Liba, et al.. (2022). MyStyle. ACM Transactions on Graphics. 41(6). 1–10. 44 indexed citations
8.
Aberman, Kfir, Junfeng He, Inbar Mosseri, et al.. (2022). Deep Saliency Prior for Reducing Visual Distraction. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19819–19828. 12 indexed citations
9.
Nitzan, Yotam, Kfir Aberman, Orly Liba, et al.. (2022). Learning A Personalized Generative Prior For Face Images. 1–2.
10.
Mokady, Ron, Omer Tov, Oran Lang, et al.. (2022). Self-Distilled StyleGAN: Towards Generation from Internet Photos. 1–9. 19 indexed citations
11.
Lang, Oran, Gal Elidan, Avinatan Hassidim, et al.. (2021). Explaining in Style: Training a GAN to explain a classifier in StyleSpace. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 673–682. 53 indexed citations
12.
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 →
13.
Cole, Forrester, David Belanger, Dilip Krishnan, et al.. (2017). Face Synthesis from Facial Identity Features.. arXiv (Cornell University). 7 indexed citations
14.
Zontak, Maria, Inbar Mosseri, & Michal Irani. (2013). Separating Signal from Noise Using Patch Recurrence across Scales. 1195–1202. 62 indexed citations
15.
Mosseri, Inbar, Maria Zontak, & M. Irani. (2013). Combining the power of Internal and External denoising. 1–9. 61 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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