Contour Detection and Hierarchical Image Segmentation

3.5k indexed citations

Abstract

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About

This paper, published in 2010, received 3.5k indexed citations. Written by Pablo Arbeláez, Michael Maire, Charless C. Fowlkes and Jitendra Malik covering the research area of Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (2.9k citations), Media Technology (974 citations) and Artificial Intelligence (398 citations). Published in IEEE Transactions on Pattern Analysis and Machine Intelligence.

Countries where authors are citing Contour Detection and Hierarchical Image Segmentation

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This map shows the geographic impact of Contour Detection and Hierarchical Image Segmentation. 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 Contour Detection and Hierarchical Image Segmentation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Contour Detection and Hierarchical Image Segmentation more than expected).

Fields of papers citing Contour Detection and Hierarchical Image Segmentation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Contour Detection and Hierarchical Image Segmentation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Contour Detection and Hierarchical Image Segmentation.

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/10.1109/tpami.2010.161.

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