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RT Delphi: An efficient, “round-less” almost real time Delphi method
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Citations
Cited by
Consensus measurement in Delphi studies
von der Gracht, H. A. (2012) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2012.04.013 · Cited by 1,831
Beiderbeck, D., Frevel, N., von der Gracht, H. A., Schmidt, S. L., & Schweitzer, V. M. (2021) · MethodsX · doi:10.1016/j.mex.2021.101401 · Cited by 642
Belton, I., MacDonald, A., Wright, G., & Hamlin, I. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.07.002 · Cited by 474
The Delphi technique: A review
Vernon, W. (2009) · International Journal of Therapy and Rehabilitation · doi:10.12968/ijtr.2009.16.2.38892 · Cited by 406
Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122579 · Cited by 353
We Agree, Don’t We? The Delphi Method for Health Environments Research
Taylor, E. (2020) · HERD: Health Environments Research & Design Journal · doi:10.1177/1937586719887709 · Cited by 316
Gnatzy, T., Warth, J., von der Gracht, H., & Darkow, I.-L. (2011) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2011.04.006 · Cited by 302
How to use the Delphi method to aid in decision making and build consensus in pharmacy education
Olsen, A. A., Wolcott, M. D., Haines, S. T., Janke, K. K., & McLaughlin, J. E. (2021) · Currents in Pharmacy Teaching and Learning · doi:10.1016/j.cptl.2021.07.018 · Cited by 115
Wehrle, M., Birkel, H., von der Gracht, H. A., & Hartmann, E. (2022) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2021.100732 · Cited by 49
Using the Delphi Method to Establish Expert Consensus: A Practical Guide
Jorm, A. (2025) · Advancing Methods for Interdisciplinarity in the Social Sciences · doi:10.1007/978-981-96-8357-4 · Cited by 22
Xu, J., Guo, Y., Wang, F., Xu, H., Lucero, R., Bian, J., & Prosperi, M. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059715 · Cited by 6
Capurso, M., Moracci, V., & Borsci, S. (2025) · Continuity in Education · doi:10.5334/cie.159 · Cited by 3
Metadata
- Authors
- Gordon, T., & Pease, A.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2006-05
- Volume
- 73
- Issue
- 4
- Pages
- 321-333
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W1971555055
- Cited by
- 409
- References
- 0
- FWCI
- 19.37
- Type
- journal article
- Language
- en
- Open access
- closed
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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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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.