EURASIP Journal on Audio Speech and Music Processing

538 papers and 4.2k indexed citations i.

About

The 538 papers published in EURASIP Journal on Audio Speech and Music Processing in the last decades have received a total of 4.2k indexed citations. Papers published in EURASIP Journal on Audio Speech and Music Processing usually cover Signal Processing (451 papers), Artificial Intelligence (237 papers) and Computer Vision and Pattern Recognition (131 papers) specifically the topics of Speech and Audio Processing (383 papers), Music and Audio Processing (257 papers) and Speech Recognition and Synthesis (214 papers). The most active scholars publishing in EURASIP Journal on Audio Speech and Music Processing are Tuomas Virtanen, Annamaria Mesaros, László Tóth, S. Ramakrishnan, Ali Al‐Haj, Habib Hamam, Björn W. Schuller, Antti Eronen, Toni Heittola and Beghdad Ayad.

In The Last Decade

Fields of papers published in EURASIP Journal on Audio Speech and Music Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in EURASIP Journal on Audio Speech and Music 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 EURASIP Journal on Audio Speech and Music Processing.

Countries where authors publish in EURASIP Journal on Audio Speech and Music Processing

Since Specialization
Citations

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

Explore journals with similar magnitude of impact

Rankless by CCL
2025