Computer Speech & Language

42.0k citations
1.5k papers · · active since 1950

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques

Papers in

    • Speech and Audio Processing 591
    • Music and Audio Processing 358
    • Speech Recognition and Synthesis 771
    • Natural Language Processing Techniques 506
    • Topic Modeling 420
    • Speech and dialogue systems 311
    • Advanced Text Analysis Techniques 85

Computer Speech & Language

1.4k papers receiving 37.2k citations

Peers

Computer Speech & Language
Comparison fields: 5 of 208
  • Signal Processing 16.5k
  • Artificial Intelligence 31.9k
  • Experimental and Cognitive Psychology 5.1k
  • Computer Vision and Pattern Recognition 4.2k
  • Human-Computer Interaction 820
Replace IEEE Transactions on Audio Speech and Language Processing with:
IEEE Transactions on Audio Speech and Language Processing United States
Computational Linguistics United States
International Journal of Speech Technology India
Speech Communication United States
IEEE/ACM Transactions on Audio Speech and Language Processing China
Journal of Artificial Intelligence Research United States
Artificial Intelligence Review China
Journal of Mathematical Psychology United States
IEEE Intelligent Systems United States
IEEE Signal Processing Magazine United States
Computer Speech & Language relative to IEEE Transactions on Audio Speech and Language Processing United States IEEE Transactions on Audio Speech and Language Processing's profile →
Citations per field
00.5×1.5×1.8×
IEEE Transactions on Audio Speech and Language Processing · 1×
Citations per year

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).

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.

About Computer Speech & Language

The 1.5k papers published in Computer Speech & Language in the last decades have received a total of 42.0k indexed citations . Papers published in Computer Speech & Language usually cover Signal Processing (665 papers), Artificial Intelligence (1.3k papers), Experimental and Cognitive Psychology (249 papers), Computer Vision and Pattern Recognition (120 papers) and Cognitive Neuroscience (91 papers) specifically the topics of Speech Recognition and Synthesis (771 papers), Speech and Audio Processing (591 papers), Natural Language Processing Techniques (506 papers), Topic Modeling (420 papers), Music and Audio Processing (358 papers), Speech and dialogue systems (311 papers), Phonetics and Phonology Research (191 papers) and Advanced Text Analysis Techniques (85 papers). The most active scholars publishing in Computer Speech & Language are Mark Gales, Philip C. Woodland, Joshua Goodman, C.J. Leggetter, Stanley F. Chen, Steve Young, S. Young, S. Levinson, Holger Schwenk and Kimia Bazargan Lari.

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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