CiteULike: bigbossman h-index

Does the h index have predictive power?

JE Hirsch — 2007-11-28T00:17:55-00:00

Proceedings of the National Academy of Sciences (26 November 2007), 0707962104.

Bibliometric measures of individual scientific achievement are of particular interest if they can be used to predict future achievement. Here we report results of an empirical study of the predictive power of the h index compared with other indicators. Our findings indicate that the h index is better than other indicators considered (total citation count, citations per paper, and total paper count) in predicting future scientific achievement. We discuss reasons for the superiority of the h index. 10.1073/pnas.0707962104

The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level

Rodrigo Costas — 2008-03-18T04:11:59-00:00

Journal of Informetrics, Vol. 1, No. 3. (July 2007), pp. 193-203.

The relationship of the h-index with other bibliometric indicators at the micro level is analysed for Spanish CSIC scientists in Natural Resources, using publications downloaded from the Web of Science (1994-2004). Different activity and impact indicators were obtained to describe the research performance of scientists in different dimensions, being the h-index located through factor analysis in a quantitative dimension highly correlated with the absolute number of publications and citations. The need to include the remaining dimensions in the analysis of research performance of scientists and the risks of relying only on the h-index are stressed. The hypothesis that the achievement of some highly visible but intermediate-productive authors might be underestimated when compared with other scientists by means of the h-index is tested.

What do we know about the <I>h</I> index?

Lutz Bornmann — 2008-02-19T14:54:55-00:00

Journal of the American Society for Information Science and Technology, Vol. 58, No. 9. (2007), pp. 1381-1385.

Jorge Hirsch (2005a, 2005b) recently proposed the h index to quantify the research output of individual scientists. The new index has attracted a lot of attention in the scientific community. The claim that the h index in a single number provides a good representation of the scientific lifetime achievement of a scientist as well as the (supposed) simple calculation of the h index using common literature databases lead to the danger of improper use of the index. We describe the advantages and disadvantages of the h index and summarize the studies on the convergent validity of this index. We also introduce corrections and complements as well as single-number alternatives to the h index.

Generalized h-index for Disclosing Latent Facts in Citation Networks

Antonis Sidiropoulos — 2006-09-16T10:33:02-00:00

(13 Jul 2006)

What is the value of a scientist and its impact upon the scientific thinking? How can we measure the prestige of a journal or of a conference? The evaluation of the scientific work of a scientist and the estimation of the quality of a journal or conference has long attracted significant interest, due to the benefits from obtaining an unbiased and fair criterion. Although it appears to be simple, defining a quality metric is not an easy task. To overcome the disadvantages of the present metrics used for ranking scientists and journals, J.E. Hirsch proposed a pioneering metric, the now famous h-index. In this article, we demonstrate several inefficiencies of this index and develop a pair of generalizations and effective variants of it to deal with scientist ranking and with publication forum ranking. The new citation indices are able to disclose trendsetters in scientific research, as well as researchers that constantly shape their field with their influential work, no matter how old they are. We exhibit the effectiveness and the benefits of the new indices to unfold the full potential of the h-index, with extensive experimental results obtained from DBLP, a widely known on-line digital library.

Citation Counting, Citation Ranking, and h-Index of Human-Computer Interaction Researchers: A Comparison between Scopus and Web of Science

Lokman Meho — 2008-03-13T06:33:50-00:00

(12 Mar 2008)

This study examines the differences between Scopus and Web of Science in the citation counting, citation ranking, and h-index of 22 top human-computer interaction (HCI) researchers from EQUATOR--a large British Interdisciplinary Research Collaboration project. Results indicate that Scopus provides significantly more coverage of HCI literature than Web of Science, primarily due to coverage of relevant ACM and IEEE peer-reviewed conference proceedings. No significant differences exist between the two databases if citations in journals only are compared. Although broader coverage of the literature does not significantly alter the relative citation ranking of individual researchers, Scopus helps distinguish between the researchers in a more nuanced fashion than Web of Science in both citation counting and h-index. Scopus also generates significantly different maps of citation networks of individual scholars than those generated by Web of Science. The study also presents a comparison of h-index scores based on Google Scholar with those based on the union of Scopus and Web of Science. The study concludes that Scopus can be used as a sole data source for citation-based research and evaluation in HCI, especially if citations in conference proceedings are sought and that h scores should be manually calculated instead of relying on system calculations.

Successive h-indices

András Schubert — 2008-03-05T01:29:41-00:00

Scientometrics, Vol. 70, No. 1. (15 January 2007), pp. 201-205.

Abstract It is suggested that h-indices themselves may form the basis of a series of h-indices at successively higher levels of aggregation. The concept of successive h-indices may usefully contribute to develop a coherent frame for multi-level assessments.

Gatekeeper index versus impact factor of science journals

Braun — 2007-06-29T00:41:04-00:00

Scientometrics, Vol. 71, No. 3. (June 2007), pp. 541-543.

Generalized Hirsch h-index for disclosing latent facts in citation networks

Sidiropoulos — 2007-08-30T16:58:41-00:00

Scientometrics, Vol. 72, No. 2. (August 2007), pp. 253-280.

Which h-index? — A comparison of WoS, Scopus and Google Scholar

Judit Bar-Ilan — 2008-02-12T21:25:36-00:00

Scientometrics, Vol. 74, No. 2. (29 February 2008), pp. 257-271.

Abstract This paper compares the h-indices of a list of highly-cited Israeli researchers based on citations counts retrieved from the Web of Science, Scopus and Google Scholar respectively. In several case the results obtained through Google Scholar are considerably different from the results based on the Web of Science and Scopus. Data cleansing is discussed extensively.