Salient Information Selection

Salient Information Selection is the cognitive process of identifying and prioritizing the most relevant and central elements within a text or discourse, distinguishing it from peripheral or redundant details through its focus on conceptual significance and contribution to the overall main idea.

361

Publications

24K

Citations

1K

Authors

452

Institutions

Publications per year

2017–2026

112

Authors

1K

  1. BQ
    Bing Qin

    Harbin Institute of Technology, China

    4 publications · 113 citations

    4

    h-index

  2. XF
    Xiaocheng Feng

    Harbin Institute of Technology, China

    4 publications · 113 citations

    4

    h-index

  3. VP
    Vincenzo Pezone

    Goethe University Frankfurt, Germany

    3 publications · 63 citations

    3

    h-index

  4. NC
    Nicole C. Krämer

    University of Duisburg-Essen, Germany

    3 publications · 166 citations

    3

    h-index

  5. SY
    Steven Yantis

    Johns Hopkins University, United States

    3 publications · 672 citations

    3

    h-index

1–5 of 1K

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 201 citations

    10

    h-index

  2. 9

    h-index

  3. Journal of Cognitive Neuroscience

    8 publications · 1.7K citations

    8

    h-index

  4. Psychological Science

    6 publications · 463 citations

    6

    h-index

  5. Visual Cognition

    6 publications · 289 citations

    6

    h-index

1–5