Yaniv Romano

21 papers and 1.3k indexed citations i.

About

Yaniv Romano is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yaniv Romano has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 6 papers in Artificial Intelligence. Recurrent topics in Yaniv Romano’s work include Image and Signal Denoising Methods (10 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Image Processing Techniques (9 papers). Yaniv Romano is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Sparse and Compressive Sensing Techniques (9 papers) and Advanced Image Processing Techniques (9 papers). Yaniv Romano collaborates with scholars based in Israel and United States. Yaniv Romano's co-authors include Michael Elad, Peyman Milanfar, Vardan Papyan, Jeremias Sulam, John Isidoro, Matan Protter, Emmanuel J. Candès, Matteo Sesia, Ronen Talmon and Rina Foygel Barber and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Yaniv Romano i

Fields of papers citing papers by Yaniv Romano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yaniv Romano

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025