IEEE/ACM Transactions on Audio Speech and Language Processing

63.3k citations
2.5k papers · · active since 2016

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Blind Source Separation Techniques
    • Speech Recognition and Synthesis
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

    • Speech and Audio Processing 1.7k
    • Music and Audio Processing 866
    • Speech Recognition and Synthesis 869
    • Topic Modeling 476
    • Natural Language Processing Techniques 446

IEEE/ACM Transactions on Audio Speech and Language Processing

2.4k papers receiving 60.6k citations

Peers

IEEE/ACM Transactions on Audio Speech and Language Processing
Comparison fields: 5 of 195
  • Signal Processing 42.6k
  • Artificial Intelligence 30.0k
  • Computational Mechanics 13.0k
  • Computer Vision and Pattern Recognition 9.4k
  • Cognitive Neuroscience 7.2k
Replace IEEE Transactions on Audio Speech and Language Processing with:
IEEE Transactions on Audio Speech and Language Processing United States
EURASIP Journal on Advances in Signal Processing China
Speech Communication United States
IEEE Journal of Selected Topics in Signal Processing United States
IEEE Transactions on Multimedia China
Digital Signal Processing China
IEEE Signal Processing Magazine United States
Computer Speech & Language United States
Neural Computation United States
Biological Cybernetics United States
IEEE/ACM Transactions on Audio Speech and Language Processing 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
00.5×2×4×5.4×
IEEE Transactions on Audio Speech and Language Processing · 1×
Citations per year

Countries where authors publish in IEEE/ACM Transactions on Audio Speech and Language Processing

Since Specialization
Citations

This map shows the geographic impact of research published in IEEE/ACM Transactions on Audio Speech and Language Processing. 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 IEEE/ACM Transactions on Audio Speech and Language Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE/ACM Transactions on Audio Speech and Language Processing more than expected).

Fields of papers published in IEEE/ACM Transactions on Audio Speech and Language Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in IEEE/ACM Transactions on Audio Speech and Language Processing. 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 IEEE/ACM Transactions on Audio Speech and Language Processing.

About IEEE/ACM Transactions on Audio Speech and Language Processing

The 2.5k papers published in IEEE/ACM Transactions on Audio Speech and Language Processing in the last decades have received a total of 63.3k indexed citations . Papers published in IEEE/ACM Transactions on Audio Speech and Language Processing usually cover Signal Processing (1.8k papers), Artificial Intelligence (1.4k papers), Computational Mechanics (622 papers), Cognitive Neuroscience (349 papers) and Computer Vision and Pattern Recognition (378 papers) specifically the topics of Speech and Audio Processing (1.7k papers), Speech Recognition and Synthesis (869 papers), Music and Audio Processing (866 papers), Advanced Adaptive Filtering Techniques (615 papers), Topic Modeling (476 papers), Natural Language Processing Techniques (446 papers), Hearing Loss and Rehabilitation (316 papers) and Acoustic Wave Phenomena Research (261 papers). The most active scholars publishing in IEEE/ACM Transactions on Audio Speech and Language Processing are DeLiang Wang, Yi Luo, Nima Mesgarani, Jitong Chen, Dong Yu, Jesper Jensen, Yuxuan Wang, Li Deng, Jacob Benesty and Sharon Gannot.

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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