Using the h-index to rank influential information scientistss.

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Title: Using the h-index to rank influential information scientistss.
Authors: Cronin, Blaise1 bcronin@indiana.edu, Meho, Lokman1 meho@indiana.edu
Source: Journal of the American Society for Information Science & Technology. Jul2006, Vol. 57 Issue 9, p1275-1278. 4p. 3 Charts.
Subjects: Information science, Ranking, Bibliometrics, Statistical correlation, Information scientists, Work measurement, Performance evaluation, Distribution (Probability theory), Knowledge management
Abstract: The authors apply a new bibliometric measure, the h-index (Hirsch, 2005), to the literature of information science. Faculty rankings based on raw citation counts are compared with those based on h-counts. There is a strong positive correlation between the two sets of rankings. It is shown how the h-index can be used to express the broad impact of a scholar's research output over time in more nuanced fashion than straight citation counts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Using the h-index to rank influential information scientistss.
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  Data: <searchLink fieldCode="AR" term="%22Cronin%2C+Blaise%22">Cronin, Blaise</searchLink><relatesTo>1</relatesTo><i> bcronin@indiana.edu</i><br /><searchLink fieldCode="AR" term="%22Meho%2C+Lokman%22">Meho, Lokman</searchLink><relatesTo>1</relatesTo><i> meho@indiana.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Jul2006, Vol. 57 Issue 9, p1275-1278. 4p. 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Information+science%22">Information science</searchLink><br /><searchLink fieldCode="DE" term="%22Ranking%22">Ranking</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Information+scientists%22">Information scientists</searchLink><br /><searchLink fieldCode="DE" term="%22Work+measurement%22">Work measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink>
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  Label: Abstract
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  Data: The authors apply a new bibliometric measure, the h-index (Hirsch, 2005), to the literature of information science. Faculty rankings based on raw citation counts are compared with those based on h-counts. There is a strong positive correlation between the two sets of rankings. It is shown how the h-index can be used to express the broad impact of a scholar's research output over time in more nuanced fashion than straight citation counts. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/asi.20354
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        Text: English
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      – SubjectFull: Information science
        Type: general
      – SubjectFull: Ranking
        Type: general
      – SubjectFull: Bibliometrics
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Information scientists
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      – SubjectFull: Work measurement
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      – SubjectFull: Performance evaluation
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      – SubjectFull: Distribution (Probability theory)
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      – SubjectFull: Knowledge management
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              M: 07
              Text: Jul2006
              Type: published
              Y: 2006
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