Discourse-level Idea Identification
Discourse-Level Idea Identification is a scholarly analytic process within textual and academic discourse analysis that specifically targets the recognition and extraction of overarching contributions—such as methods, models, frameworks, or theories—at the document level, distinguishing it from sentence- or paragraph-level idea detection by focusing on the synthesis of central innovations or claims that define the paper's academic contribution.
20
Publications
707
Citations
50
Authors
27
Institutions
Publications per year
2017–2026
5
Parents
20
David A. Copland, Helen J. Chenery, Bruce E. Murdoch · Journal of Clinical and Experimental Neuropsychology · 2001 · 46 citations
1–5 of 20
50
2
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 50
27
Stanford University
Stanford, United States
2 h-index
3 publications
52 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
108 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
14 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
384 citations

The University of Queensland
Brisbane, Australia
1 h-index
3 publications
138 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
5 publications
80 citations
Laboratoire Cognition, Langues, Langage, Ergonomie
Toulouse, France
1 h-index
5 publications
80 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
5 publications
80 citations
1–8 of 27
1 publications · 192 citations
1
h-index
1 publications · 64 citations
1
h-index
Conference · 1 publications · 53 citations
1
h-index
1 publications · 46 citations
1
h-index
LLC · 1 publications · 44 citations
1
h-index
1–5