IEEE Transactions on Audio Speech and Language Processing · 1×
×0.638k/59kSP
×0.826k/33kAI
×0.612k/19kCM
×0.68k/14kCVPR
×0.77k/9kCN
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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
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 54.8k indexed citations . Papers published in IEEE/ACM Transactions on Audio Speech and Language Processing usually cover Signal Processing (1.8k papers), Artificial Intelligence (1.3k papers) and Computational Mechanics (612 papers) specifically the topics of Speech and Audio Processing (1.7k papers), Speech Recognition and Synthesis (853 papers) and Music and Audio Processing (848 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, Jacob Benesty, Li Deng 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.