Literature-based Discovery

Literature-Based Discovery is a computational knowledge discovery paradigm that identifies novel, implicit associations between biomedical concepts by systematically analyzing and integrating dispersed findings across the scientific literature.

164

Publications

11.1K

Citations

526

Authors

227

Institutions

Publications per year

2017–2026

59

Authors

526

  1. TC
    Thomas C. Rindflesch

    United States National Library of Medicine, United States

    16 publications · 1.1K citations

    14

    h-index

  2. RN
    Ronald N. Kostoff

    Office of Naval Research, United States

    13 publications · 495 citations

    12

    h-index

  3. DH
    Dimitar Hristovski

    University of Ljubljana, Slovenia

    12 publications · 899 citations

    11

    h-index

  4. NR
    Neil R. Smalheiser

    University of Illinois Chicago, United States

    6 publications · 775 citations

    6

    h-index

  5. DR
    Don R. Swanson

    University of Chicago, United States

    6 publications · 870 citations

    6

    h-index

1–5 of 526

Venues

  1. Technological Forecasting and Social Change

    11 publications · 463 citations

    11

    h-index

  2. PubMed

    Repository · 10 publications · 654 citations

    10

    h-index

  3. Bioinformatics

    9 publications · 867 citations

    9

    h-index

  4. BMC Bioinformatics

    7 publications · 431 citations

    7

    h-index

  5. PLoS ONE

    7 publications · 1.5K citations

    7

    h-index

1–5