Vector quantization in speech coding

598 indexed citations

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About

This paper, published in 1985, received 598 indexed citations. Written by J. Makhoul, S. Roucos and H. Gish covering the research area of Signal Processing and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (413 citations), Signal Processing (289 citations) and Artificial Intelligence (270 citations). Published in Proceedings of the IEEE.

Countries where authors are citing Vector quantization in speech coding

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This map shows the geographic impact of Vector quantization in speech coding. 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 Vector quantization in speech coding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vector quantization in speech coding more than expected).

Fields of papers citing Vector quantization in speech coding

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Vector quantization in speech coding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Vector quantization in speech coding.

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/proc.1985.13340.

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