Hila Chefer

6 papers and 478 indexed citations i.

About

Hila Chefer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Hila Chefer has authored 6 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Hila Chefer’s work include Generative Adversarial Networks and Image Synthesis (3 papers), Multimodal Machine Learning Applications (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Hila Chefer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Multimodal Machine Learning Applications (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Hila Chefer collaborates with scholars based in Israel, United States and Denmark. Hila Chefer's co-authors include Lior Wolf, Shir Gur, Yael Vinker, Daniel Cohen‐Or, Yuval Alaluf, Idan Schwartz, Serge Belongie, Sagie Benaim, Michael Rubinstein and Oliver Wang 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

Co-authorship network of co-authors of Hila Chefer i

Fields of papers citing papers by Hila Chefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hila Chefer

Since Specialization
Citations

This map shows the geographic impact of Hila Chefer'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 Hila Chefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hila Chefer 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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2025