Cited by 32Water resources management and optimizationCognitive Science and MappingEnvironmental Science and Water Management

Using a Cognitive Mapping Approach to Frame the Perceptions of Water Users About Managing Water Resources: A Case Study in the Australian Capital Territory

ElSawah, Sondoss, Mclucas, Alan, Mazanov, Jason·2013·Water Resources Management

Integrity signals

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Crossref · 10.1007/s11269-013-0357-5

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38 of 38 references verified0 citation errors · 0 not checkable

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Authors
ElSawah, S., Mclucas, A., & Mazanov, J.
Affiliations
  • Australian National University (AU)
  • UNSW Sydney (AU)
Corresponding author
ElSawah, Sondoss
Venue
Water Resources Management
Published
2013-05-12
Volume
27
Issue
9
Pages
3441-3456
ISSN
  • 0920-4741 (ISSN-L)
  • 1573-1650
OpenAlex
W1976866919
Cited by
32
References
38
Citations by year
2026: 1 · 2024: 4 · 2023: 5 · 2022: 2 · 2021: 1 · 2020: 4 · 2019: 4 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 1
FWCI
4.50
Type
journal article
Language
en
Open access
closed
Locations
  • Water Resources Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • ANU Open Research (Australian National University) (submittedVersion)
Funders
University of New South Wales
Topics
  • Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
  • Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
  • Physical Sciences › Environmental Science › Water Science and Technology › Environmental Science and Water Management
Keywords
cognitive mapping, stakeholder mental models, social-ecological systems, attribution of responsibility, sustainable water management, arid and semi-arid regions, Australian Capital Territory

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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