G. Evermann

5 papers and 121 indexed citations
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About

G. Evermann is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, G. Evermann has authored 5 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in G. Evermann’s work include Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Advanced Data Compression Techniques (2 papers). G. Evermann is often cited by papers focused on Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Advanced Data Compression Techniques (2 papers). G. Evermann collaborates with scholars based in United Kingdom. G. Evermann's co-authors include PC Woodland, Philip C. Woodland, Thomas Hain, Daniel Povey, Mark Gales, Lan Wang and Xunying Liu and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing and Scientific Repository (Petra Christian University).

In The Last Decade

Co-authorship network of co-authors of G. Evermann

This figure shows the co-authorship network connecting the top 25 collaborators of G. Evermann. A scholar is included among the top collaborators of G. Evermann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Evermann. G. Evermann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by G. Evermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Evermann. 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 G. Evermann. The network helps show where G. Evermann may publish in the future.

Countries citing papers authored by G. Evermann

Since Specialization
Citations

This map shows the geographic impact of G. Evermann'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 G. Evermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Evermann 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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2026