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Aromaticity as a multi‐dimensional phenomenon
Abstract
The classification of aromaticity criteria is studied. New aromaticity criteria are developed and discussed. A statistical analysis of such criteria is presented and compared with a similar analysis of the recent literature. It is shown that aromaticity is at least a two‐dimensional phenomenon. The classification of the compounds depends on the type of criteria included in the analysis.
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Citations
Cited by
Nucleus-Independent Chemical Shifts (NICS) as an Aromaticity Criterion
Chen, Z., Wannere, C. S., Corminboeuf, C., Puchta, R., & Schleyer, P. V. R. (2005) · Chemical Reviews · doi:10.1021/cr030088+ · Cited by 3,847
Cyrański, M. K. (2005) · Chemical Reviews · doi:10.1021/cr0300845 · Cited by 638
Aromaticity: a Theoretical Concept of Immense Practical Importance
Krygowski, T. M., Cyrañski, M. K., Czarnocki, Z., Häfelinger, G., & Katritzky, A. R. (2000) · Tetrahedron · doi:10.1016/s0040-4020(99)00979-5 · Cited by 532
Multicenter bond indices as a new measure of aromaticity in polycyclic aromatic hydrocarbons
Bultinck, P., Ponec, R., & Van Damme, S. (2005) · Journal of Physical Organic Chemistry · doi:10.1002/poc.922 · Cited by 477
Krygowski, T. M., & Cyrański, M. (1996) · Tetrahedron · doi:10.1016/0040-4020(95)01007-6 · Cited by 344
Metadata
- Authors
- Jug, K., & Köster, A. M.
- Venue
- Journal of Physical Organic Chemistry
- Publisher
- Wiley
- Published
- 1991-03
- Volume
- 4
- Issue
- 3
- Pages
- 163-169
- ISSN
- 0894-3230 (ISSN-L)
- 1099-1395
- OpenAlex
- W2109417857
- Cited by
- 190
- References
- 0
- FWCI
- 0.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jug, K., & Köster, A. M. (1991). Aromaticity as a multi‐dimensional phenomenon. Journal of Physical Organic Chemistry. https://doi.org/10.1002/poc.610040307
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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.
