Bayesian Speaker Verification with Heavy-Tailed Priors.
Impact in
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doi.org/w7064074 →Countries where authors are citing Bayesian Speaker Verification with Heavy-Tailed Priors.
This map shows the geographic impact of Bayesian Speaker Verification with Heavy-Tailed Priors.. 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 Bayesian Speaker Verification with Heavy-Tailed Priors. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bayesian Speaker Verification with Heavy-Tailed Priors. more than expected).
Fields of papers citing Bayesian Speaker Verification with Heavy-Tailed Priors.
This network shows the impact of Bayesian Speaker Verification with Heavy-Tailed Priors.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Bayesian Speaker Verification with Heavy-Tailed Priors..
About Bayesian Speaker Verification with Heavy-Tailed Priors.
This paper, published in 2010, received 421 indexed citations . Written by Patrick Kenny covering the research area of Artificial Intelligence and Signal Processing. It is primarily cited by scholars working on Artificial Intelligence (412 citations), Signal Processing (399 citations), Computer Vision and Pattern Recognition (21 citations), Computational Mechanics (4 citations) and Information Systems (2 citations).
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/w7064074.