Spam Filtering

Spam Filtering is a computational method within the field of information filtering that specifically identifies and separates unsolicited, irrelevant, or malicious electronic messages from legitimate content based on predefined criteria or learned patterns.

1.8K

Publications

105.3K

Citations

4.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

579

Authors

4.3K

  1. TA
    Tiago A. Almeida

    Universidade Federal de São Carlos, Brazil

    17 publications · 1.1K citations

    14

    h-index

  2. GV
    Gordon V. Cormack

    University of Waterloo, Canada

    17 publications · 1.3K citations

    14

    h-index

  3. JR
    José R. Méndez

    Universidade de Vigo, Spain

    16 publications · 602 citations

    14

    h-index

  4. YX
    Yang Xiang

    Deakin University, Australia

    13 publications · 973 citations

    13

    h-index

  5. FF
    Florentino Fdez‐Riverola

    Universidade de Vigo, Spain

    13 publications · 470 citations

    13

    h-index

1–5 of 4.3K

Venues

  1. Expert Systems with Applications

    30 publications · 1.4K citations

    24

    h-index

  2. IEEE Access

    24 publications · 1.9K citations

    22

    h-index

  3. Conference on Email and Anti-Spam

    Conference · 25 publications · 1.8K citations

    20

    h-index

  4. arXiv (Cornell University)

    Repository · 31 publications · 2K citations

    16

    h-index

  5. Security and Communication Networks

    13 publications · 410 citations

    12

    h-index

1–5