Countries where authors publish in IEEE Open Journal of Signal Processing
Since Specialization
Citations
This map shows the geographic impact of research published in IEEE Open Journal of 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 published in IEEE Open Journal of 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 IEEE Open Journal of Signal Processing more than expected).
Fields of papers published in IEEE Open Journal of Signal Processing
This network shows the impact of papers published in IEEE Open Journal of 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 published in IEEE Open Journal of Signal Processing.
About IEEE Open Journal of Signal Processing
The 263 papers published in IEEE Open Journal of Signal Processing in the last decades have received a total of 1.3k indexed citations . Papers published in IEEE Open Journal of Signal Processing usually cover Signal Processing (73 papers), Computational Mathematics (2 papers), Computer Vision and Pattern Recognition (62 papers), Artificial Intelligence (87 papers) and Computational Mechanics (49 papers) specifically the topics of Speech and Audio Processing (48 papers), Sparse and Compressive Sensing Techniques (26 papers), Advanced Adaptive Filtering Techniques (25 papers), Speech Recognition and Synthesis (24 papers), Music and Audio Processing (21 papers), Blind Source Separation Techniques (18 papers), Image and Signal Denoising Methods (15 papers) and Indoor and Outdoor Localization Technologies (15 papers). The most active scholars publishing in IEEE Open Journal of Signal Processing are Yue Xu, Qinglei Kong, Feng Yin, Sergios Theodoridis, Deshi Li, Shuguang Cui, Wei Guo, Benedetta Tondi, Mauro Barni and Michaël Unser.
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.