Individual recognition using gait energy image

Abstract

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About

This paper, published in 1950, received 1.3k indexed citations. Written by Ju Han and Bir Bhanu covering the research area of Human-Computer Interaction, Biomedical Engineering and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Biomedical Engineering (1.2k citations), Computer Vision and Pattern Recognition (1.1k citations) and Human-Computer Interaction (411 citations). Published in IEEE Transactions on Pattern Analysis and Machine Intelligence.

Countries where authors are citing Individual recognition using gait energy image

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This map shows the geographic impact of Individual recognition using gait energy image. 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 Individual recognition using gait energy image with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Individual recognition using gait energy image more than expected).

Fields of papers citing Individual recognition using gait energy image

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Individual recognition using gait energy image. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Individual recognition using gait energy image.

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.2006.38.

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