A generalised approach for identifying influential data in hydrological modelling Article Swipe
David P. Wright
,
Mark Thyer
,
Seth Westra
,
Benjamin Renard
,
David McInerney
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1016/j.envsoft.2018.03.004
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1016/j.envsoft.2018.03.004
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.envsoft.2018.03.004
- https://www.sciencedirect.com/science/article/pii/S1364815217302189
- OA Status
- bronze
- Cited By
- 10
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2809643857
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2809643857Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.envsoft.2018.03.004Digital Object Identifier
- Title
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A generalised approach for identifying influential data in hydrological modellingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-06-22Full publication date if available
- Authors
-
David P. Wright, Mark Thyer, Seth Westra, Benjamin Renard, David McInerneyList of authors in order
- Landing page
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https://doi.org/10.1016/j.envsoft.2018.03.004Publisher landing page
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https://www.sciencedirect.com/science/article/pii/S1364815217302189Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://www.sciencedirect.com/science/article/pii/S1364815217302189Direct OA link when available
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Leverage (statistics), Heteroscedasticity, Computer science, Residual, Data mining, Bayesian probability, Econometrics, Bayesian inference, Inference, Machine learning, Mathematics, Artificial intelligence, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2022: 1, 2021: 1, 2020: 2Per-year citation counts (last 5 years)
- References (count)
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42Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2104878378, https://openalex.org/W2141593068, https://openalex.org/W4233620411, https://openalex.org/W1652520942, https://openalex.org/W2133837084, https://openalex.org/W2122315938, https://openalex.org/W1984038448, https://openalex.org/W2153171983, https://openalex.org/W1738936625, https://openalex.org/W2043805260, https://openalex.org/W2117546666, https://openalex.org/W1895146444, https://openalex.org/W1983350937, https://openalex.org/W2163058405, https://openalex.org/W2094437984, https://openalex.org/W2093689556, https://openalex.org/W2117688097, https://openalex.org/W2407078068, https://openalex.org/W2092400191, https://openalex.org/W2289047754, https://openalex.org/W2584314571, https://openalex.org/W2033904036, https://openalex.org/W1996071089, https://openalex.org/W2049830499, https://openalex.org/W2027962536, https://openalex.org/W2010624461, https://openalex.org/W2077637719, https://openalex.org/W2010586887, https://openalex.org/W2123677000, https://openalex.org/W1968637865, https://openalex.org/W2046604496, https://openalex.org/W2015054807, https://openalex.org/W1754423787, https://openalex.org/W2159562728, https://openalex.org/W827754192, https://openalex.org/W2792813964, https://openalex.org/W4301014524, https://openalex.org/W1505551852, https://openalex.org/W1998613841, https://openalex.org/W3029645440, https://openalex.org/W260994251, https://openalex.org/W28151559 |
| referenced_works_count | 42 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.69824713 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |