The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Project Complexity and Risk Management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects
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Citations
Cites
Bayesian Networks and Decision Graphs
Jensen, F. V., & Nielsen, T. D. (2007) · Information Science and Statistics · doi:10.1007/978-0-387-68282-2 · Cited by 4,129
Risk assessment and risk management: Review of recent advances on their foundation
Aven, T. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.12.023 · Cited by 1,713
Sadler, G. R., Lee, H.-C., Lim, R. S.-H., & Fullerton, J. (2010) · Nursing & Health Sciences · doi:10.1111/j.1442-2018.2010.00541.x · Cited by 1,257
The concept of project complexity—a review
Baccarini, D. (1996) · International Journal of Project Management · doi:10.1016/0263-7863(95)00093-3 · Cited by 1,192
Understanding the key risks in construction projects in China
Zou, P. X. W., Zhang, G., & Wang, J. (2007) · International Journal of Project Management · doi:10.1016/j.ijproman.2007.03.001 · Cited by 859
Bayesian Networks and Decision Graphs
Ahmed, S. E. (2008) · Technometrics · doi:10.1198/tech.2008.s543 · Cited by 719
The need for new paradigms for complex projects
Williams, T. M. (1999) · International Journal of Project Management · doi:10.1016/s0263-7863(98)00047-7 · Cited by 674
Transforming project risk management into project uncertainty management
Ward, S. C., & Chapman, C. B. (2002) · International Journal of Project Management · doi:10.1016/s0263-7863(01)00080-1 · Cited by 661
Eight Myths About Causality and Structural Equation Models
Bollen, K. A., & Pearl, J. (2013) · Handbooks of Sociology and Social Research · doi:10.1007/978-94-007-6094-3_15 · Cited by 645
Analytic Hierarchy Process and Expert Choice: Benefits and limitations
Ishizaka, A., & Labib, A. (2009) · OR Insight · doi:10.1057/ori.2009.10 · Cited by 609
Cited by
Afzal, F., Yunfei, S., Nazir, M., & Bhatti, S. M. (2021) · International Journal of Managing Projects in Business · doi:10.1108/ijmpb-02-2019-0047 · Cited by 172
The front-end of projects: a systematic literature review and structuring
Williams, T., Vo, H., Samset, K., & Edkins, A. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1594429 · Cited by 145
Metadata
- Authors
- Qazi, A., Quigley, J., Dickson, A., & Kirytopoulos, K.
- Venue
- International Journal of Project Management
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 34
- Issue
- 7
- Pages
- 1183-1198
- ISSN
- 0263-7863 (ISSN-L)
- OpenAlex
- W2463573071
- Cited by
- 294
- References
- 58
- FWCI
- 26.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Project Complexity and Risk Management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects. https://app.cochat.ai/papers/10.1016/j.ijproman.2016.05.008
- The paper
- Qazi, A., Quigley, J., Dickson, A., & Kirytopoulos, K. (2016). Project Complexity and Risk Management (ProCRiM): Towards modelling project complexity driven risk paths in construction projects. International Journal of Project Management. https://doi.org/10.1016/j.ijproman.2016.05.008
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.
