Search (10 results, page 1 of 1)

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Date

13. 7.2008 19:53:22

Type

a

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Abstract

This paper explores the possible citation chain reactions of a Nobel Prize using the mathematician Robert J. Aumann as a case example. The results show that the award of the Nobel Prize in 2005 affected not only the citations to his work, but also affected the citations to the references in his scientific oeuvre. The results indicate that the spillover effect is almost as powerful as the effect itself. We are consequently able to document a ripple effect in which the awarding of the Nobel Prize ignites a citation chain reaction to Aumann's scientific oeuvre and to the references in its nearest citation network. The effect is discussed using innovation decision process theory as a point of departure to identify the factors that created a bandwagon effect leading to the reported observations.

Date

22. 3.2013 16:21:09

Type

a

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Abstract

Flattery citations of editors, potential referees, and so on have been claimed to be a common strategy among academic authors. From a sociology of science perspective as well as from a citation analytical perspective, it is both an interesting claim and a consequential one. The article presents a citation analysis of the editorial board members entering the American Economic Review from 1984 to 2004 using a citation window of 11 years. To test the flattery citation hypothesis further, we have conducted a study applying the difference-in-differences estimator. We analyze the number of times the editors and editorial board members of the American Economic Review were cited in articles published in the journal itself as well as in a pool of documents comprising articles from the Journal of Political Economy and the Quarterly Journal of Economics. The results of the analyses do not support the existence of a flattery citation effect.

Type

a

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Abstract

Applying a recently developed method for measuring the level of specialization over time for a selection of library and information science (LIS)-core journals seems to reveal that Journal of the Association for Information Science and Technology (JASIST) is slowly transforming into a specialty journal. The transformation seems to originate from a growing interest in bibliometric topics. This is evident from a longitudinal study (1990-2012) of the bibliometric coupling strength between Scientometrics and other LIS-core journals (including JASIST). The cause of this gradual transformation is discussed, and possible explanations are analyzed.

Type

a

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Abstract

A new approach for investigating the correlation between research quality and citation counts is presented and applied to a case study of the relationship between peer evaluations reflected in scholarly book reviews and the citation frequencies of reviewed books. Results of the study designate a J-shaped distribution between the considered variables, presumably caused by a skewed allocation of negative citations. The paper concludes with suggestions for further research.

Type

a

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Abstract

Bibliographic databases (including databases based on open access) are routinely used for bibliometric research. The value of a specific database depends to a large extent on the coverage of the discipline(s) under study. A number of studies have determined the coverage of databases in specific disciplines focusing on interdisciplinary differences; however, little is known about the potential existence of intradisciplinary differences in database coverage. Focusing on intradisciplinary differences, the article documents large database-coverage differences within two disciplines (economics and psychology). The point extends to include both the uneven coverage of specialties and research traditions. The implications for bibliometric research are discussed, and precautions which need to be taken are outlined.

Type

a

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Abstract

Citation frequencies are commonly interpreted as measures of quality or impact. Yet, the true nature of citations and their proper interpretation have been the center of a long, but still unresolved discussion in Bibliometrics. A comparison of 67,578 pairs of studies on the same healthcare topic, with the same publication age (1-15 years) reveals that when one of the studies is being selected for citation, it has on average received about three times as many citations as the other study. However, the average citation-gap between selected or deselected studies narrows slightly over time, which fits poorly with the name-dropping interpretation and better with the quality and impact-interpretation. The results demonstrate that authors in the field of Healthcare tend to cite highly cited documents when they have a choice. This is more likely caused by differences related to quality than differences related to status of the publications cited.

Type

a

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Abstract

Bradfordrsquos law of scattering is said to be about subject scattering in information sources. However, in spite of a corpus of writings about the meaning of the word ldquosubjectrdquo and equivalent terms such as ldquoaboutnessrdquo or ldquotopicalityrdquo, the meaning of ldquosubjectrdquo has never been explicitly addressed in relation to Bradfordrsquos law. This paper introduces a distinction between Lexical scattering, Semantic scattering, and Subject scattering. Neither Bradford himself nor any follower has explicitly considered the differences between these three and the implications for the practical applications of Bradfordrsquos law. Traditionally, Bradfordrsquos law has been seen as a neutral and objective tool for the selection of the most central information sources in a field. However, it is hard to find actual reports that describe how Bradfordrsquos law has been applied in practical library and information services. Theoretical as well as historical evidence suggest that the selection of journals based on Bradford-distributions tend to favorite dominant theories and views while suppressing views other than the mainstream at a given time.

Type

a

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Abstract

This article reports the findings of a bibliometric study of the measurable effects of experience and prestige on researchers' citing behavior. All single authors from two econometrics journals over a 10-year time period form the basis of the analysis of how experience and prestige affect the number of references in their publications. Preliminary results from linear regression models suggest that two author types can be characterized using this analysis. Review experience seems to be the decisive factor in the data. The article discusses the implications of the findings and offers suggestions for future research within this new and promising area.

Type

a

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Type

a