Countries where authors publish in IEEE Signal Processing Letters
Since Specialization
Citations
This map shows the geographic impact of research published in IEEE Signal Processing Letters. 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 Letters 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 Letters more than expected).
Fields of papers published in IEEE Signal Processing Letters
This network shows the impact of papers published in IEEE Signal Processing Letters. 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 Letters.
About IEEE Signal Processing Letters
The 8.0k papers published in IEEE Signal Processing Letters in the last decades have received a total of 184.6k indexed citations . Papers published in IEEE Signal Processing Letters usually cover Signal Processing (3.0k papers), Computer Vision and Pattern Recognition (3.2k papers), Computational Mathematics (58 papers), Computational Mechanics (1.6k papers) and Media Technology (574 papers) specifically the topics of Speech and Audio Processing (1.3k papers), Blind Source Separation Techniques (1.1k papers), Image and Signal Denoising Methods (1.1k papers), Advanced Adaptive Filtering Techniques (920 papers), Sparse and Compressive Sensing Techniques (598 papers), Direction-of-Arrival Estimation Techniques (491 papers), Advanced Wireless Communication Techniques (471 papers) and Target Tracking and Data Fusion in Sensor Networks (441 papers). The most active scholars publishing in IEEE Signal Processing Letters are Alan C. Bovik, Zhou Wang, Rajiv Soundararajan, Xinpeng Zhang, Patrick Flandrin, Rick Chartrand, Jarno Mielikäinen, Gabriel Rilling, Petre Stoica and Paulo Gonçalvès.
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.