Digital Signal Processing: Principles, Algorithms, and Applications
- Journal
- Virtual Defense Library (Ministerio de Defensa)
In The Last Decade
doi.org/w64294815 →Countries where authors are citing Digital Signal Processing: Principles, Algorithms, and Applications
This map shows the geographic impact of Digital Signal Processing: Principles, Algorithms, and Applications. 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 Digital Signal Processing: Principles, Algorithms, and Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Digital Signal Processing: Principles, Algorithms, and Applications more than expected).
Fields of papers citing Digital Signal Processing: Principles, Algorithms, and Applications
This network shows the impact of Digital Signal Processing: Principles, Algorithms, and Applications. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Digital Signal Processing: Principles, Algorithms, and Applications.
About Digital Signal Processing: Principles, Algorithms, and Applications
This paper, published in 1992, received 3.1k indexed citations . Written by J.G. Proakis and Dimitris G. Manolakis covering the research area of Electrical and Electronic Engineering and Computer Networks and Communications. It is primarily cited by scholars working on Electrical and Electronic Engineering (1.1k citations), Signal Processing (909 citations), Biomedical Engineering (495 citations), Computer Vision and Pattern Recognition (481 citations) and Computational Mechanics (474 citations). Published in Virtual Defense Library (Ministerio de Defensa).
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.
This paper is also available at doi.org/w64294815.