The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Elements of Information Theory
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Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
On Information and Sufficiency
Kullback, S., & Leibler, R. A. (1951) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177729694 · Cited by 20,193
Information theory and statistical mechanics
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.106.620 · Cited by 12,931
A simple measure of electron localization in atomic and molecular systems
Becke, A. D., & Edgecombe, K. E. (1990) · The Journal of Chemical Physics · doi:10.1063/1.458517 · Cited by 7,145
Information theory and statistics
(1959) · Journal of the Franklin Institute · doi:10.1016/0016-0032(59)90368-0 · Cited by 7,094
Bonded-atom fragments for describing molecular charge densities
Hirshfeld, F. L. (1977) · Theoretica Chimica Acta · doi:10.1007/bf00549096 · Cited by 6,978
The Principles of Quantum Mechanics
Dirac, P. A. M., & Polkinghorne, J. C. (1958) · Physics Today · doi:10.1063/1.3062610 · Cited by 5,409
Wiberg, K. B. (1968) · Tetrahedron · doi:10.1016/0040-4020(68)88057-3 · Cited by 4,467
Classification of chemical bonds based on topological analysis of electron localization functions
Silvi, B., & Savin, A. (1994) · Nature · doi:10.1038/371683a0 · Cited by 4,393
On the mathematical foundations of theoretical statistics
Fisher, R. A. (1922) · Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character · doi:10.1098/rsta.1922.0009 · Cited by 4,039
Cited by
Speeding Up Distributed Machine Learning Using Codes
Lee, K., Lam, M., Pedarsani, R., Papailiopoulos, D., & Ramchandran, K. (2018) · IEEE Transactions on Information Theory · doi:10.1109/tit.2017.2736066 · Cited by 829
A survey on classification techniques for opinion mining and sentiment analysis
Hemmatian, F., & Sohrabi, M. K. (2019) · Artificial Intelligence Review · doi:10.1007/s10462-017-9599-6 · Cited by 371
Probabilistic visual learning for object detection
Moghaddam, B., & Pentland, A. (2002) · Proceedings of IEEE International Conference on Computer Vision · doi:10.1109/iccv.1995.466858 · Cited by 359
Robust and Secure Image Hashing via Non-Negative Matrix Factorizations
Monga, V., & Mihcak, M. K. (2007) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2007.902670 · Cited by 295
Allefeld, C., Görgen, K., & Haynes, J.-D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.040 · Cited by 157
Metadata
- Authors
- Nalewajski, R. F.
- Venue
- Perspectives in Electronic Structure Theory
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 371-395
- OpenAlex
- W2210387432
- Cited by
- 2,309
- References
- 37
- FWCI
- 90.94
- Type
- book chapter
- 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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- Nalewajski, R. F. (2011). Elements of Information Theory. Perspectives in Electronic Structure Theory. https://doi.org/10.1007/978-3-642-20180-6_8
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.
