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Zhang, L.; Pan, Y.; Zhang, T.: Focused named entity recognition using machine learning (2004) 0.02

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Date: 15.10.2005 19:57:22

Zhang, L.; Rousseau, R.; Glänzel, W.: Document-type country profiles (2011) 0.01

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Source: Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1403-1411

Glänzel, W.; Rousseau, D.; Zhang, L.: ¬A visual representation of relative first-citation times (2012) 0.01

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Source: Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1420-1425

Zhang, L.; Thijs, B.; Glänzel, W.: What does scientometrics share with other "metrics" sciences? (2013) 0.01

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Source: Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1515-1518

Zhang, L.: Grasping the structure of journal articles : utilizing the functions of information units (2012) 0.01

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Date: 6. 4.2012 18:43:22

Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009) 0.01

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Source: Web semantics: science, services and agents on the World Wide Web. 7(2009) no.3, S.177-188

Zhang, L.; Lu, W.; Yang, J.: LAGOS-AND : a large gold standard dataset for scholarly author name disambiguation (2023) 0.01

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Date: 22. 1.2023 18:40:36

Zhang, L.; Rousseau, R.; Glänzel, W.: Diversity of references as an indicator of the interdisciplinarity of journals : taking similarity between subject fields into account (2016) 0.01
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Abstract

The objective of this article is to further the study of journal interdisciplinarity, or, more generally, knowledge integration at the level of individual articles. Interdisciplinarity is operationalized by the diversity of subject fields assigned to cited items in the article's reference list. Subject fields and subfields were obtained from the Leuven-Budapest (ECOOM) subject-classification scheme, while disciplinary diversity was measured taking variety, balance, and disparity into account. As diversity measure we use a Hill-type true diversity in the sense of Jost and Leinster-Cobbold. The analysis is conducted in 3 steps. In the first part, the properties of this measure are discussed, and, on the basis of these properties it is shown that the measure has the potential to serve as an indicator of interdisciplinarity. In the second part the applicability of this indicator is shown using selected journals from several research fields ranging from mathematics to social sciences. Finally, the often-heard argument, namely, that interdisciplinary research exhibits larger visibility and impact, is studied on the basis of these selected journals. Yet, as only 7 journals, representing a total of 15,757 articles, are studied, albeit chosen to cover a large range of interdisciplinarity, further research is still needed.

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