Inductive Reasoning

Inductive Reasoning is a form of logical inference in which general laws, patterns, or theoretical claims are derived from particular observations or empirical instances, yielding conclusions that are supported with varying degrees of probability rather than guaranteed by logical necessity.

2.6K

Publications

279.4K

Citations

3.5K

Authors

1.1K

Institutions

Publications per year

2017–2026

316

Authors

3.5K

  1. HM
    Henry Markovits

    Université du Québec à Montréal, Canada

    21 publications · 1.4K citations

    19

    h-index

  2. PN
    P. N. Johnson‐Laird

    Princeton University, United States

    21 publications · 1.6K citations

    19

    h-index

  3. JS
    Jonathan St. B. T. Evans

    University of Plymouth, United Kingdom

    19 publications · 2.5K citations

    17

    h-index

  4. SM
    Stephen Muggleton

    Imperial College London, United Kingdom

    18 publications · 4.2K citations

    16

    h-index

  5. LD
    Luc De Raedt

    KU Leuven, Belgium

    17 publications · 2.8K citations

    16

    h-index

1–5 of 3.5K

Venues

  1. Philosophy of Science

    69 publications · 4.5K citations

    36

    h-index

  2. Machine Learning

    36 publications · 33.2K citations

    30

    h-index

  3. Memory & Cognition

    42 publications · 2.3K citations

    27

    h-index

  4. Child Development

    29 publications · 3.7K citations

    26

    h-index

  5. Developmental Psychology

    30 publications · 1.6K citations

    26

    h-index

1–5