IEEE Open Journal of Signal Processing

229 papers and 807 indexed citations
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About

The 229 papers published in IEEE Open Journal of Signal Processing in the last decades have received a total of 807 indexed citations. Papers published in IEEE Open Journal of Signal Processing usually cover Artificial Intelligence (79 papers), Signal Processing (66 papers) and Electrical and Electronic Engineering (52 papers) specifically the topics of Speech and Audio Processing (46 papers), Sparse and Compressive Sensing Techniques (25 papers) and Speech Recognition and Synthesis (24 papers). The most active scholars publishing in IEEE Open Journal of Signal Processing are Sergios Theodoridis, Deshi Li, Qinglei Kong, Feng Yin, Yue Xu, Shuguang Cui, Wei Guo, Mauro Barni, Benedetta Tondi and Michaël Unser.

In The Last Decade

Fields of papers published in IEEE Open Journal of Signal Processing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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.

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