Idan Schwartz

11 papers and 188 indexed citations i.

About

Idan Schwartz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Idan Schwartz has authored 11 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Idan Schwartz’s work include Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Video Analysis and Summarization (3 papers). Idan Schwartz is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Video Analysis and Summarization (3 papers). Idan Schwartz collaborates with scholars based in Israel, United States and Denmark. Idan Schwartz's co-authors include Tamir Hazan, Alexander G. Schwing, Seunghak Yu, Lior Wolf, Itai Gat, Yossi Adi, Hila Chefer, Serge Belongie, Sagie Benaim and Ariel Shamir and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Idan Schwartz i

Fields of papers citing papers by Idan Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Idan Schwartz

Since Specialization
Citations

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