Pipeline Generation

Pipeline Generation is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that systematically enables the identification, cultivation, and progression of opportunities within a deal origination, demand generation, or generate constructs ecosystem.

58

Publications

2.5K

Citations

240

Authors

103

Institutions

Publications per year

2017–2026

29

Authors

240

  1. AM
    Arthur M. Johnson

    University of Maine, United States

    2 publications · 22 citations

    2

    h-index

  2. MH
    Mohammed Hossny

    Deakin University, Australia

    2 publications · 67 citations

    2

    h-index

  3. YH
    Yuchen Hong

    Peking University, China

    2 publications · 29 citations

    2

    h-index

  4. BS
    Boxin Shi

    Peking University, China

    2 publications · 29 citations

    2

    h-index

  5. SN
    Saeid Nahavandi

    Deakin University, Australia

    2 publications · 67 citations

    2

    h-index

1–5 of 240

Venues

  1. Sensors

    2 publications · 46 citations

    2

    h-index

  2. Nature Biotechnology

    2 publications · 30 citations

    2

    h-index

  3. Computers & Chemical Engineering

    1 publications · 34 citations

    1

    h-index

  4. JMIR Medical Informatics

    JMI · 1 publications · 17 citations

    1

    h-index

  5. Computer applications in the biosciences

    CABIOS · 1 publications · 69 citations

    1

    h-index

1–5