Aviad Aberdam

12 papers and 170 indexed citations i.

About

Aviad Aberdam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Aviad Aberdam has authored 12 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Aviad Aberdam’s work include Multimodal Machine Learning Applications (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Natural Language Processing Techniques (2 papers). Aviad Aberdam is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Natural Language Processing Techniques (2 papers). Aviad Aberdam collaborates with scholars based in Israel and United States. Aviad Aberdam's co-authors include Michael Elad, Jeremias Sulam, Amir Beck, Ron Litman, Shai Mazor, Ron Slossberg, Shahar Tsiper, R. Manmatha, Oron Anschel and Pietro Perona and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Optimization Theory and Applications and Entropy.

In The Last Decade

Co-authorship network of co-authors of Aviad Aberdam i

Fields of papers citing papers by Aviad Aberdam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aviad Aberdam

Since Specialization
Citations

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