The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Good practice in Bayesian network modelling
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Citations
Cites
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1023/a:1022623210503 · Cited by 3,231
Beven, K., & Freer, J. (2001) · Journal of Hydrology · doi:10.1016/s0022-1694(01)00421-8 · Cited by 2,189
Learning Bayesian networks: The combination of knowledge and statistical data
Heckerman, D., Geiger, D., & Chickering, D. M. (1995) · Machine Learning · doi:10.1007/bf00994016 · Cited by 2,017
Voinov, A., & Bousquet, F. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.03.007 · Cited by 1,354
Advantages and challenges of Bayesian networks in environmental modelling
Uusitalo, L. (2007) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.11.033 · Cited by 1,118
Ten iterative steps in development and evaluation of environmental models
Jakeman, A. J., Letcher, R. A., & Norton, J. P. (2006) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2006.01.004 · Cited by 1,111
How to avoid a perfunctory sensitivity analysis
Saltelli, A., & Annoni, P. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.04.012 · Cited by 974
Marcot, B. G., Steventon, J. D., Sutherland, G. D., & McCann, R. K. (2006) · Canadian Journal of Forest Research · doi:10.1139/x06-135 · Cited by 667
Bayesian networks in environmental modelling
Aguilera, P. A., Fernández, A., Fernández, R., Rumí, R., & Salmerón, A. (2011) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2011.06.004 · Cited by 666
A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis
Borsuk, M. E., Stow, C. A., & Reckhow, K. H. (2004) · Ecological Modelling · doi:10.1016/j.ecolmodel.2003.08.020 · Cited by 492
Cited by
Tools and methods in participatory modeling: Selecting the right tool for the job
Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P. D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., et al. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.08.028 · Cited by 428
Big data reduction framework for value creation in sustainable enterprises
Rehman, M. H. U., Chang, V., Batool, A., & Wah, T. Y. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.013 · Cited by 279
Power Law Distributions in Information Retrieval
Petersen, C., Simonsen, J. G., & Lioma, C. (2016) · ACM Transactions on Information Systems · doi:10.1145/2816815 · Cited by 46
A Bayesian Belief Network to assess rate of changes in coral reef ecosystems
Franco, C., Hepburn, L. A., Smith, D. J., Nimrod, S., & Tucker, A. (2016) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2016.02.029 · Cited by 25
Metadata
- Authors
- Chen, S. H., & Pollino, C. A.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2012-11
- Volume
- 37
- Pages
- 134-145
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2048076161
- Cited by
- 657
- References
- 45
- FWCI
- 26.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, S. H., & Pollino, C. A. (2012). Good practice in Bayesian network modelling. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2012.03.012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.