Generating Function Transformations

Generating Function Transformations is a mathematical framework that systematically alters the form or structure of generating functions through specified operations—such as substitution, differentiation, convolution, or composition—in order to derive new generating functions that encode transformed sequences or solve combinatorial problems more effectively.

102

Publications

4K

Citations

164

Authors

108

Institutions

Publications per year

2017–2026

8

Authors

164

  1. HM
    H. M. Srivastava

    University of Victoria, Canada

    5 publications · 135 citations

    5

    h-index

  2. DB
    D. B. Sears

    University of Cape Town, South Africa

    3 publications · 192 citations

    3

    h-index

  3. GD
    G. Dattoli

    National Agency for New Technologies, Energy and Sustainable Economic Development, Italy

    3 publications · 116 citations

    3

    h-index

  4. NY
    Nazmiye Yılmaz

    Selçuk University, Türkiye

    1 publications · 27 citations

    2

    h-index

  5. EÖ
    Engi̇n Özkan

    Erzincan Binali Yıldırım University, Türkiye

    2 publications · 27 citations

    2

    h-index

1–5 of 164

Venues

  1. 5

    h-index

  2. Proceedings of the London Mathematical Society

    4 publications · 228 citations

    4

    h-index

  3. Physics Letters B

    3 publications · 173 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 38 citations

    3

    h-index

  5. Pacific Journal of Mathematics

    2 publications · 67 citations

    2

    h-index

1–5