Data-driven Insight

A Data-Driven Insight is a scholarly contribution that consists of a novel method, model, framework, theory, construct, dataset, task, or metric derived through systematic analysis of empirical data, distinguished by its foundational reliance on data to generate or validate knowledge within an academic domain.

76

Publications

4.5K

Citations

283

Authors

153

Institutions

Publications per year

2017–2026

52

Authors

283

  1. SL
    Susan L. Coort

    Maastricht University, Netherlands

    2 publications · 43 citations

    2

    h-index

  2. NB
    Nasim Bahram Sangani

    Maastricht University Medical Centre, Netherlands

    2 publications · 43 citations

    2

    h-index

  3. ES
    Eric Smeets

    Maastricht University, Netherlands

    2 publications · 43 citations

    2

    h-index

  4. PI
    Pourang Irani

    University of Manitoba, Canada

    2 publications · 81 citations

    2

    h-index

  5. DZ
    Desheng Zhang

    Rutgers, The State University of New Jersey, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 283

Venues

  1. Communications of the ACM

    2 publications · 285 citations

    2

    h-index

  2. Energy and Buildings

    2 publications · 37 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 30 citations

    2

    h-index

  4. Frontiers in Psychology

    2 publications · 25 citations

    2

    h-index

  5. Technological Forecasting and Social Change

    2 publications · 612 citations

    2

    h-index

1–5