The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Mercury Porosimetry: A General (Practical) Overview
Abstract
The paper describes general concepts of mercury porosimetry measurements and provides an overview on the current status of pore‐network analysis tools. Practical aspects of the technique are described as well as emphasizing the need for testing of model pore structures and the status on pore network modeling software.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Characterization of Porous Solids and Powders: Surface Area, Pore Size and Density
Lowell, S., Shields, J. E., Thomas, M. A., & Thommes, M. (2004) · Particle Technology Series · doi:10.1007/978-1-4020-2303-3 · Cited by 1,824
Characterization of porous solids and powders: surface area, pore size, and density
(2005) · Choice Reviews Online · doi:10.5860/choice.42-5288 · Cited by 1,637
Capillary behavior of a perfectly wetting liquid in irregular triangular tubes
Mason, G., & Morrow, N. R. (1991) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(91)90321-x · Cited by 442
Mercury porosimetry—breakthrough pressure for penetration between packed spheres
Mayer, R. P., & Stowe, R. A. (1965) · Journal of Colloid Science · doi:10.1016/0095-8522(65)90061-9 · Cited by 389
Wardlaw, N. C., & McKellar, M. (1981) · Powder Technology · doi:10.1016/0032-5910(81)85011-5 · Cited by 216
Kloubek, J. (1981) · Powder Technology · doi:10.1016/0032-5910(81)85005-x · Cited by 105
Matthews, G. P., Moss, A., Spearing, M. C., & Voland, F. (1993) · Powder Technology · doi:10.1016/0032-5910(93)80045-c · Cited by 68
A Hierarchical Structural Model for the Interpretation of Mercury Porosimetry and Nitrogen Sorption
Rigby, S. P. (2000) · Journal of Colloid and Interface Science · doi:10.1006/jcis.1999.6707 · Cited by 43
A statistical model for the heterogeneous structure of porous catalyst pellets
Rigby, S. P., & Daut, S. (2002) · Advances in Colloid and Interface Science · doi:10.1016/s0001-8686(01)00091-4 · Cited by 24
Cited by
Hydrologic properties of biochars produced at different temperatures
Kinney, T. J., Masiello, C. A., Dugan, B., Hockaday, W. C., Dean, M. R., Zygourakis, K., & Barnes, R. T. (2012) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2012.01.033 · Cited by 517
OpenPNM: A Pore Network Modeling Package
Gostick, J., Aghighi, M., Hinebaugh, J., Tranter, T., Hoeh, M. A., Day, H., Spellacy, B., Sharqawy, M. H., Bazylak, A., Burns, A., et al. (2016) · Computing in Science & Engineering · doi:10.1109/mcse.2016.49 · Cited by 482
Komkiene, J., & Baltrenaite, E. (2016) · International Journal of Environmental Science and Technology · doi:10.1007/s13762-015-0873-3 · Cited by 273
Physicochemical characterization of drug nanocarriers
Berbel Manaia, E., Paiva Abuçafy, M., Chiari-Andréo, B. G., Lallo Silva, B., Oshiro-Júnior, J. A., & Chiavacci, L. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s133832 · Cited by 207
Corrochano, B. R., Melrose, J. R., Bentley, A. C., Fryer, P. J., & Bakalis, S. (2015) · Journal of Food Engineering · doi:10.1016/j.jfoodeng.2014.11.006 · Cited by 63
Metadata
- Authors
- Giesche, H.
- Venue
- Particle & Particle Systems Characterization
- Publisher
- Wiley
- Published
- 2006-06
- Volume
- 23
- Issue
- 1
- Pages
- 9-19
- ISSN
- 0934-0866 (ISSN-L)
- 1521-4117
- OpenAlex
- W2101403447
- Cited by
- 916
- References
- 9
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
