The DOI matches its Crossref record.
The Physics of Flow Through Porous Media
Abstract
Here in one volume is summarized a vast amount of information on the physical principles of hydrodynamics in porous media, gathered from numerous publications. This new edition represents a substantial revision of the second, incorporating the most recent developments in the field.
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Citations
Cited by
Flow through packed bed reactors: 1. Single-phase flow
Nemec, D., & Levec, J. (2005) · Chemical Engineering Science · doi:10.1016/j.ces.2005.05.068 · Cited by 338
Andersson, M., Beale, S. B., Espinoza, M., Wu, Z., & Lehnert, W. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.08.010 · Cited by 204
Effect of tumor shape and size on drug delivery to solid tumors
Soltani, M., & Chen, P. (2012) · Journal of Biological Engineering · doi:10.1186/1754-1611-6-4 · Cited by 110
Futter, G. A., Gazdzicki, P., Friedrich, K. A., Latz, A., & Jahnke, T. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2018.04.070 · Cited by 94
Metadata
- Authors
- SCHEIDEGGER, A. E.
- Venue
- Soil Science
- Published
- 1958-12
- Volume
- 86
- Issue
- 6
- Pages
- 355
- ISSN
- 0038-075X (ISSN-L)
- OpenAlex
- W2165214321
- Cited by
- 2,596
- References
- 0
- FWCI
- 18.16
- 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.