Daniel Zoran

20 papers and 1.5k indexed citations i.

About

Daniel Zoran is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Daniel Zoran has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Astronomy and Astrophysics. Recurrent topics in Daniel Zoran’s work include Domain Adaptation and Few-Shot Learning (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Advanced Vision and Imaging (4 papers). Daniel Zoran is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Advanced Vision and Imaging (4 papers). Daniel Zoran collaborates with scholars based in United States, Israel and United Kingdom. Daniel Zoran's co-authors include Yair Weiss, William T. Freeman, Dilip Krishnan, Phillip Isola, Théophane Weber, Andrea Tacchetti, Razvan Pascanu, Peter Battaglia, Nicholas Watters and Michael D. Johnson and has published in prestigious journals such as The Astrophysical Journal, CaltechAUTHORS (California Institute of Technology) and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Daniel Zoran i

Fields of papers citing papers by Daniel Zoran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Zoran

Since Specialization
Citations

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