The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
The e-Index, Complementing the h-Index for Excess Citations
Open accessAbstract
BACKGROUND: The h-index has already been used by major citation databases to evaluate the academic performance of individual scientists. Although effective and simple, the h-index suffers from some drawbacks that limit its use in accurately and fairly comparing the scientific output of different researchers. These drawbacks include information loss and low resolution: the former refers to the fact that in addition to h(2) citations for papers in the h-core, excess citations are completely ignored, whereas the latter means that it is common for a group of researchers to have an identical h-index. METHODOLOGY/PRINCIPAL FINDINGS: To solve these problems, I here propose the e-index, where e(2) represents the ignored excess citations, in addition to the h(2) citations for h-core papers. Citation information can be completely depicted by using the h-index together with the e-index, which are independent of each other. Some other h-type indices, such as a and R, are h-dependent, have information redundancy with h, and therefore, when used together with h, mask the real differences in excess citations of different researchers. CONCLUSIONS/SIGNIFICANCE: Although simple, the e-index is a necessary h-index complement, especially for evaluating highly cited scientists or for precisely comparing the scientific output of a group of scientists having an identical h-index.
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An index to quantify an individual’s scientific research output
Hirsch, J. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507655102 · Cited by 11,669
Does the h index have predictive power?
Hirsch, J. E. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707962104 · Cited by 973
The R- and AR-indices: Complementing the h-index
Jin, B., Liang, L., Rousseau, R., & Egghe, L. (2007) · Chinese Science Bulletin · doi:10.1007/s11434-007-0145-9 · Cited by 558
Informetrics at the beginning of the 21st century—A review
Bar-Ilan, J. (2008) · Journal of Informetrics · doi:10.1016/j.joi.2007.11.001 · Cited by 466
Bornmann, L., Mutz, R., & Daniel, H. (2008) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20806 · Cited by 458
Generalized Hirsch h-index for disclosing latent facts in citation networks
Sidiropoulos, A., Katsaros, D., & Manolopoulos, Y. (2007) · Scientometrics · doi:10.1007/s11192-007-1722-z · Cited by 433
The h index and career assessment by numbers
KELLY, C., & JENNIONS, M. (2006) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2006.01.005 · Cited by 400
The state of h index research: Is the h index the ideal way to measure research performance?
Bornmann, L., & Daniel, H. (2009) · EMBO reports · doi:10.1038/embor.2008.233 · Cited by 396
An improvement of the h-index: the g-index
Egghe, L. (2006) · Document Server@UHasselt (UHasselt) · Cited by 363
The R- and AR-indices: Complementing the h-index
Jin, J., BiHui, Liang, L., Liming, Ronald, R., Rousseau, ., Leo, L., & Egghe (2007) · 中国科学通报:英文版 · Cited by 352
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Bibliometrics: Tracking Research Impact by Selecting the Appropriate Metrics
Agarwal, A., Durairajanayagam, D., Tatagari, S., Esteves, S., Harlev, A., Henkel, R., Roychoudhury, S., Homa, S., Puchalt, N., Ramasamy, R., et al. (2016) · Asian Journal of Andrology · doi:10.4103/1008-682x.171582 · Cited by 639
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Metadata
- Authors
- Zhang, C.-T.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-05-05
- Volume
- 4
- Issue
- 5
- Pages
- e5429
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2108695571
- Cited by
- 451
- References
- 18
- FWCI
- 29.45
- Type
- journal article
- Language
- en
- Open access
- gold
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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.