International Journal of Biometrics

376 papers and 1.3k indexed citations i.

About

The 376 papers published in International Journal of Biometrics in the last decades have received a total of 1.3k indexed citations. Papers published in International Journal of Biometrics usually cover Signal Processing (176 papers), Computer Vision and Pattern Recognition (157 papers) and Information Systems (64 papers) specifically the topics of Biometric Identification and Security (159 papers), Face and Expression Recognition (71 papers) and User Authentication and Security Systems (53 papers). The most active scholars publishing in International Journal of Biometrics are Roman V. Yampolskiy, Andreas Lanitis, Venu Govindaraju, Suneeta Agarwal, Debasis Samanta, Shankar Bhausaheb Nikam, Phil Rose, Ying Wen, Hanqi Zhuang and Xiaofu He.

In The Last Decade

Fields of papers published in International Journal of Biometrics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Biometrics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in International Journal of Biometrics.

Countries where authors publish in International Journal of Biometrics

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Biometrics. 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 papers published in International Journal of Biometrics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites International Journal of Biometrics 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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