Signal Processing
Impact in
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- Speech Recognition and Synthesis
Also classified as
- Artificial Intelligence 192.0k
- Speech Recognition and Synthesis 49.5k
Signal Processing
116.5k papers receiving 1.1M citations
Countries where authors publish papers about Signal Processing
This map shows the geographic impact of research in Signal 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 about Signal Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Signal Processing more than expected).
Fields of papers citing papers about Signal Processing
This network shows the impact of papers covering Signal 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 covering Signal Processing.
About Signal Processing
674.4k papers covering Signal Processing have received a total of 11.4M indexed citations since 1950 . Papers on Signal Processing are most often about the specific topic of Speech and Audio Processing, Data Management and Algorithms, Advanced Malware Detection Techniques, Blind Source Separation Techniques, Music and Audio Processing, Speech Recognition and Synthesis, Advanced Adaptive Filtering Techniques and Network Security and Intrusion Detection and also cover the fields of Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Software. Papers citing work on Signal Processing are usually about Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mathematics, Computer Networks and Communications and Information Systems. Some of the most active scholars covering Signal Processing are Hirotugu Akaike, Geoffrey E. Hinton, Stephen Boyd, Anil K. Jain, Peter J. Rousseeuw, Aapo Hyvärinen, Laurens van der Maaten, Vladimir Vapnik, Scott Makeig and P. P. Vaidyanathan.
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.