Virginia Best

97 papers and 2.4k indexed citations i.

About

Virginia Best is a scholar working on Cognitive Neuroscience, Speech and Hearing and Signal Processing. According to data from OpenAlex, Virginia Best has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Cognitive Neuroscience, 61 papers in Speech and Hearing and 40 papers in Signal Processing. Recurrent topics in Virginia Best’s work include Hearing Loss and Rehabilitation (90 papers), Noise Effects and Management (61 papers) and Speech and Audio Processing (40 papers). Virginia Best is often cited by papers focused on Hearing Loss and Rehabilitation (90 papers), Noise Effects and Management (61 papers) and Speech and Audio Processing (40 papers). Virginia Best collaborates with scholars based in United States, Australia and Slovakia. Virginia Best's co-authors include Barbara Shinn‐Cunningham, Gerald Kidd, Christine R. Mason, Simon Carlile, Erol J. Ozmeral, Norbert Kopčo, Jayaganesh Swaminathan, Elin Roverud, Jörg M. Buchholz and Frederick J. Gallun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Virginia Best i

Fields of papers citing papers by Virginia Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia Best. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Virginia Best. The network helps show where Virginia Best may publish in the future.

Countries citing papers authored by Virginia Best

Since Specialization
Citations

This map shows the geographic impact of Virginia Best's research. 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 Virginia Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Best 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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