IEEE Journal of Selected Topics in Signal Processing · 1×
×2.749k/18kSP
×1.92k/893CM
×3.161k/20kCVPR
×5.12k/448AU
×2.920k/7kMT
Citations per year
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Countries where authors publish in IEEE Signal Processing Magazine
Since Specialization
Citations
This map shows the geographic impact of research published in IEEE Signal Processing Magazine. 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 Signal Processing Magazine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IEEE Signal Processing Magazine more than expected).
Fields of papers published in IEEE Signal Processing Magazine
This network shows the impact of papers published in IEEE Signal Processing Magazine. 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 Signal Processing Magazine.
About IEEE Signal Processing Magazine
The 2.1k papers published in IEEE Signal Processing Magazine in the last decades have received a total of 231.1k indexed citations . Papers published in IEEE Signal Processing Magazine usually cover Signal Processing (493 papers), Computer Vision and Pattern Recognition (555 papers), Computational Mathematics (14 papers), Media Technology (149 papers) and Artificial Intelligence (455 papers) specifically the topics of Blind Source Separation Techniques (144 papers), Speech and Audio Processing (144 papers), Image and Signal Denoising Methods (140 papers), Music and Audio Processing (111 papers), Neural Networks and Applications (101 papers), Sparse and Compressive Sensing Techniques (100 papers), Digital Filter Design and Implementation (92 papers) and Advanced Adaptive Filtering Techniques (89 papers). The most active scholars publishing in IEEE Signal Processing Magazine are Richard G. Baraniuk, Michael B. Wakin, Emmanuel J. Candès, Li Deng, Todd K. Moon, Petre Stoica, Mats Viberg, Hamid Krim, Ronald W. Schafer and Martin Vetterli.
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.