Advances and challenges in super‐resolution

450 indexed citations

Abstract

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About

This paper, published in 2004, received 450 indexed citations. Written by Sina Farsiu, D. Robinson, Michael Elad and Peyman Milanfar covering the research area of Media Technology and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (401 citations), Media Technology (212 citations) and Computational Mechanics (65 citations). Published in International Journal of Imaging Systems and Technology.

Countries where authors are citing Advances and challenges in super‐resolution

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This map shows the geographic impact of Advances and challenges in super‐resolution. 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 Advances and challenges in super‐resolution with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Advances and challenges in super‐resolution more than expected).

Fields of papers citing Advances and challenges in super‐resolution

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Advances and challenges in super‐resolution. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Advances and challenges in super‐resolution.

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.

This paper is also available at doi.org/10.1002/ima.20007.

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