Signal Processing

Signal Processing is a subfield of applied mathematics that studies the representation, transformation, analysis, and manipulation of signals—typically modeled as functions of time, space, or other variables—in order to extract information, enhance or recover signal content, and facilitate efficient transmission, storage, or interpretation.

54.2K

Publications

3.7M

Citations

79.7K

Authors

8.9K

Institutions

Publications per year

2017–2026

11.8K

Authors

79.7K

  1. MV
    Martin Vetterli

    École Polytechnique Fédérale de Lausanne, Switzerland

    160 publications · 24.9K citations

    65

    h-index

  2. RG
    Richard G. Baraniuk

    Rice University, United States

    146 publications · 24K citations

    61

    h-index

  3. MU
    Michaël Unser

    École Polytechnique Fédérale de Lausanne, Switzerland

    134 publications · 16.8K citations

    57

    h-index

  4. YC
    Yonina C. Eldar

    Technion – Israel Institute of Technology, Israel

    157 publications · 16.1K citations

    55

    h-index

  5. DL
    David L. Donoho

    Stanford University, United States

    78 publications · 92.9K citations

    54

    h-index

1–5 of 79.7K

Venues

  1. IEEE Transactions on Signal Processing

    3.2K publications · 315.4K citations

    230

    h-index

  2. IEEE Transactions on Information Theory

    928 publications · 195.2K citations

    154

    h-index

  3. 143

    h-index

  4. Proceedings of the IEEE

    339 publications · 96.4K citations

    129

    h-index

  5. IEEE Transactions on Image Processing

    537 publications · 69.5K citations

    123

    h-index

1–5