Computer Speech & Language

1.5k papers and 27.2k indexed citations i.

About

The 1.5k papers published in Computer Speech & Language in the last decades have received a total of 27.2k indexed citations. Papers published in Computer Speech & Language usually cover Artificial Intelligence (1.3k papers), Signal Processing (655 papers) and Experimental and Cognitive Psychology (239 papers) specifically the topics of Speech Recognition and Synthesis (759 papers), Speech and Audio Processing (581 papers) and Natural Language Processing Techniques (506 papers). The most active scholars publishing in Computer Speech & Language are Mark Gales, Philip C. Woodland, Joshua Goodman, C.J. Leggetter, Stanley F. Chen, David M. Carter, S. Young, Anne Cutler, Roni Rosenfeld and Martin Cooke.

In The Last Decade

Fields of papers published in Computer Speech & Language

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer Speech & Language. 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 Computer Speech & Language.

Countries where authors publish in Computer Speech & Language

Since Specialization
Citations

This map shows the geographic impact of research published in Computer Speech & Language. 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 Computer Speech & Language with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computer Speech & Language 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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