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Introduction In studies of citation analysis, self-citations are often regarded as ‘noise’ or diversions removed from analyses (Hellsten et al. 2007 ). This situation has happened since the assessment of research or scientific

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Abstract  

A recent extensive review of research in British universities has produced a research rating for each university department based primarily on peer review of the department's publications. In this preliminary study, we compare these ratings with publication and citation data for the chemistry departments at two British universities. The results underline the importance of the most productive researchers in departments. This point is supported by citation data from a chemical engineering department.

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The method of co-citation analysis is used to build citation networks in information science. As data base the first 13 volumes (1961–1973) of the leading Soviet journal in the field (Nauchno-tekhnicheskaya Informatsiya) were used. The results reveal the topical structure of information science, the communities of authors and the names of single leading scientists. The evaluation of scientists' work is based on two measures: productivity (with or without co-authorship) and popularity (popularity of authors and popularity of papers).

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concept of sustainable development. Instead of performing a literature review, however, this research resorts to a citation analysis based on the rich source of reference information available from ISI Web of Science. It complements previous research

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recently called the quasity term (citations C received) and a suitable quality measure (say, impact, defined as the ratio of citations to publications, i.e. i = C/P ). The neologism, quasity, needs some explanation. Table 1 draws on some metaphors

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—which collectively comprises the field” (Evans 2005 , p. 112). Citation analysis is one of several methods that can be used to gain an understanding of the ‘collective’ knowledge production within a field. It has been claimed that citation analysis has the potential

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Multivariate statistical analysis of the citation profiles of urology and related journals (i.e. the relative extent to which each journal cites itself and other journals within a set) has highlighted hidden correlations. We reveal the existence of a ‘transatlantic’ rift in citation practice and of a confined discipline-oriented world which interfaces weakly with many other disciplines. We also interpret the results of our analyses in terms of basic and clinical research and examine whether there is a time-related selectivity in citation. Taken together, our results call for a serious appraisal of present-day research trends and of their evaluation. The open question is how to create a terrain that will foster original, possibly interdisciplinary, research in developed nations whilst maintaining cultural individuality.

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Abstract  

Reprint requests are commonly used to obtain a copy of an article. This study aims to correlate the number of reprint requests from a 10-year-sample of articles with the number of citations. The database contained 28 articles published in over a 10-year-period (1992-2001). For each separate article the number of citations and and the number of reprint requests were retrieved. In total 303 reprint requests were analysed. Reviews (median 9, range 1 to 95) and original articles (median 8, range 1-36) attracted most reprint requests. There was an excellent correlation between the number of requests and citations to article (two-tailed non-parametric Spearman rank test r = 0.55; 95% confidence interval 0.18-0.78, P < 0.005). Articles that received most reprint requests are cited more often.

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, technology diffusers. We find that activeness in learning has a significantly positive impact on the relative importance of e-paper display technology within the knowledge network. Firms engaging in intensive patent citation activities with the aim of

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Scientometrics
Authors:
Jun-Ying Fu
,
Xu Zhang
,
Yun-Hua Zhao
,
He-Feng Tong
,
Dar-Zen Chen
, and
Mu-Hsuan Huang

the 1990s (Han and Ho 2011 ). The bibliometric method is the application of quantitative analysis and statistics to publications such as journal articles and their accompanying citation counts, which is used in research performance evaluation

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