IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

902 indexed citations
published 2012

Countries where authors are citing IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

Specialization
Citations

This map shows the geographic impact of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012. 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 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 more than expected).

Fields of papers citing IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012.

About IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

This paper, published in 2012, received 902 indexed citations . Written by Andreas Müller, Dino Sejdinović and Robert J. Piechocki. It is primarily cited by scholars working on Signal Processing (265 citations), Artificial Intelligence (245 citations) and Computer Vision and Pattern Recognition (208 citations).

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.

This paper is also available at doi.org/w62177426.

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