Inbar Mosseri

17 papers and 1.2k indexed citations i.

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 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 3 papers in Cognitive Neuroscience. Recurrent topics in Inbar Mosseri’s work include Generative Adversarial Networks and Image Synthesis (9 papers), Video Analysis and Summarization (4 papers) and Speech and Audio Processing (3 papers). Inbar Mosseri is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (9 papers), Video Analysis and Summarization (4 papers) and Speech and Audio Processing (3 papers). Inbar Mosseri collaborates with scholars based in United States, Israel and Singapore. Inbar Mosseri's co-authors include Tali Dekel, Oran Lang, William T. Freeman, Michael Rubinstein, Ariel Ephrat, Michal Irani, Avinatan Hassidim, Kevin Wilson, Omer Tov and Shiran Zada and has published in prestigious journals such as ACM Transactions on Graphics, 2009 IEEE Conference on Computer Vision and Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Inbar Mosseri i

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.

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).

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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