Search (450 results, page 1 of 23)

  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. H-Index auch im Web of Science (2008) 0.05 
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    Content
    "Zur Kurzmitteilung "Latest enhancements in Scopus: ... h-Index incorporated in Scopus" in den letzten Online-Mitteilungen (Online-Mitteilungen 92, S.31) ist zu korrigieren, dass der h-Index sehr wohl bereits im Web of Science enthalten ist. Allerdings findet man/frau diese Information nicht in der "cited ref search", sondern neben der Trefferliste einer Quick Search, General Search oder einer Suche über den Author Finder in der rechten Navigationsleiste unter dem Titel "Citation Report". Der "Citation Report" bietet für die in der jeweiligen Trefferliste angezeigten Arbeiten: - Die Gesamtzahl der Zitierungen aller Arbeiten in der Trefferliste - Die mittlere Zitationshäufigkeit dieser Arbeiten - Die Anzahl der Zitierungen der einzelnen Arbeiten, aufgeschlüsselt nach Publikationsjahr der zitierenden Arbeiten - Die mittlere Zitationshäufigkeit dieser Arbeiten pro Jahr - Den h-Index (ein h-Index von x sagt aus, dass x Arbeiten der Trefferliste mehr als x-mal zitiert wurden; er ist gegenüber sehr hohen Zitierungen einzelner Arbeiten unempfindlicher als die mittlere Zitationshäufigkeit)."
    Date
    6. 4.2008 19:04:22
    Object
    H-Index
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.1, S.124-125
    Type
    a
  2. Rostaing, H.; Barts, N.; Léveillé, V.: Bibliometrics: representation instrument of the multidisciplinary positioning of a scientific area : Implementation for an Advisory Scientific Committee (2007) 0.04 
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    Date
    30.12.2007 11:22:39
    Type
    a
  3. Thelwall, M.; Ruschenburg, T.: Grundlagen und Forschungsfelder der Webometrie (2006) 0.04 
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    Date
    4.12.2006 12:12:22
    Source
    Information - Wissenschaft und Praxis. 57(2006) H.8, S.401-406
    Type
    a
  4. Meho, L.I.; Rogers, Y.: Citation counting, citation ranking, and h-index of human-computer interaction researchers : a comparison of Scopus and Web of Science (2008) 0.04 
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    Abstract
    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 when citations in conference proceedings are sought, and that researchers should manually calculate h scores instead of relying on system calculations.
    Object
    h-index
    Type
    a
  5. Nicolaisen, J.: Citation analysis (2007) 0.04 
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    Date
    13. 7.2008 19:53:22
    Type
    a
  6. Van der Veer Martens, B.: Do citation systems represent theories of truth? (2001) 0.03 
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    Date
    22. 7.2006 15:22:28
    Type
    a
  7. Chan, H.C.; Kim, H.-W.; Tan, W.C.: Information systems citation patterns from International Conference on Information Systems articles (2006) 0.03 
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    Abstract
    Research patterns could enhance understanding of the Information Systems (IS) field. Citation analysis is the methodology commonly used to determine such research patterns. In this study, the citation methodology is applied to one of the top-ranked Information Systems conferences - International Conference on Information Systems (ICIS). Information is extracted from papers in the proceedings of ICIS 2000 to 2002. A total of 145 base articles and 4,226 citations are used. Research patterns are obtained using total citations, citations per journal or conference, and overlapping citations. We then provide the citation ranking of journals and conferences. We also examine the difference between the citation ranking in this study and the ranking of IS journals and IS conferences in other studies. Based on the comparison, we confirm that IS research is a multidisciplinary research area. We also identify the most cited papers and authors in the IS research area, and the organizations most active in producing papers in the top-rated IS conference. We discuss the findings and implications of the study.
    Date
    3. 1.2007 17:22:03
    Type
    a
  8. Lewison, G.: ¬The work of the Bibliometrics Research Group (City University) and associates (2005) 0.03 
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    Date
    20. 1.2007 17:02:22
    Type
    a
  9. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.03 
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    Abstract
    Um sich einer Antwort auf die Frage anzunähern, welche Bedeutung der Nachlass eines Wissenschaftlers wie jener Paul F. Lazarsfelds (mit zahlreichen noch unveröffentlichten Schriften) für die aktuelle Forschung haben könne, kann untersucht werden, wie häufig dieser Wissenschaftler zitiert wird. Wenn ein Autor zitiert wird, wird er auch genutzt. Wird er über einen langen Zeitraum oft genutzt, ist vermutlich auch die Auseinandersetzung mit seinem Nachlass von Nutzen. Außerdem kann aufgrund der Zitierungen festgestellt werden, was aus dem Lebenswerk eines Wissenschaftlers für die aktuelle Forschung relevant erscheint. Daraus können die vordringlichen Fragestellungen in der Bearbeitung des Nachlasses abgeleitet werden. Die Aufgabe für die folgende Untersuchung lautete daher: Wie oft wird Paul F. Lazarsfeld zitiert? Dabei interessierte auch: Wer zitiert wo? Die Untersuchung wurde mit Hilfe der Meta-Datenbank "ISI Web of Knowledge" durchgeführt. In dieser wurde im "Web of Science" mit dem Werkzeug "Cited Reference Search" nach dem zitierten Autor (Cited Author) "Lazarsfeld P*" gesucht. Diese Suche ergab 1535 Referenzen (References). Werden alle Referenzen gewählt, führt dies zu 4839 Ergebnissen (Results). Dabei wurden die Datenbanken SCI-Expanded, SSCI und A&HCI verwendet. Bei dieser Suche wurden die Publikationsjahre 1941-2008 analysiert. Vor 1956 wurden allerdings nur sehr wenige Zitate gefunden: 1946 fünf, ansonsten maximal drei, 1942-1944 und 1949 überhaupt keines. Zudem ist das Jahr 2008 noch lange nicht zu Ende. (Es gab jedoch schon vor Ende März 24 Zitate!)
    Date
    22. 6.2008 12:54:12
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.2, S.14-20
    Type
    a
  10. Ball, R.: Wissenschaftsindikatoren im Zeitalter digitaler Wissenschaft (2007) 0.02 
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    Date
    23.12.2007 19:22:21
    Source
    B.I.T.online. 10(2007) H.2, S.xxx-xxx
    Type
    a
  11. Bornmann, L.; Daniel, H.-D.: What do we know about the h index? (2007) 0.02 
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    Abstract
    Jorge Hirsch 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.
    Object
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    a
  12. Egghe, L.: Dynamic h-index : the Hirsch index in function of time (2007) 0.02 
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    Abstract
    When there are a group of articles and the present time is fixed we can determine the unique number h being the number of articles that received h or more citations while the other articles received a number of citations which is not larger than h. In this article, the time dependence of the h-index is determined. This is important to describe the expected career evolution of a scientist's work or of a journal's production in a fixed year.
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    a
  13. Rousseau, R.; Ye, F.Y.: ¬A proposal for a dynamic h-type index (2008) 0.02 
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    Abstract
    A time-dependent h-type indicator is proposed. This indicator depends on the size of the h-core, the number of citations received, and recent change in the value of the h-index. As such, it tries to combine in a dynamic way older information about the source (e.g., a scientist or research institute that is evaluated) with recent information.
    Object
    h-index
    Type
    a
  14. Gianoli, E.; Molina-Montenegro, M.A.: Insights into the relationship between the h-index and self-citations (2009) 0.02 
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    Abstract
    We analyze the publication output of 119 Chilean ecologists and find strong evidence that self-citations significantly affect the h-index increase. Furthermore, we show that the relationship between the increase in the h-index and the proportion of self-citations differs between high and low h-index researchers. In particular, our results show that it is in the low h-index group where self-citations cause the greater impact.
    Object
    h-Index
    Type
    a
  15. Schreiber, M.: ¬An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index (2008) 0.02 
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    Abstract
    J.E. Hirsch (2005) introduced the h-index to quantify an individual's scientific research output by the largest number h of a scientist's papers that received at least h citations. To take into account the highly skewed frequency distribution of citations, L. Egghe (2006a) proposed the g-index as an improvement of the h-index. I have worked out 26 practical cases of physicists from the Institute of Physics at Chemnitz University of Technology, and compare the h and g values in this study. It is demonstrated that the g-index discriminates better between different citation patterns. This also can be achieved by evaluating B.H. Jin's (2006) A-index, which reflects the average number of citations in the h-core, and interpreting it in conjunction with the h-index. h and A can be combined into the R-index to measure the h-core's citation intensity. I also have determined the A and R values for the 26 datasets. For a better comparison, I utilize interpolated indices. The correlations between the various indices as well as with the total number of papers and the highest citation counts are discussed. The largest Pearson correlation coefficient is found between g and R. Although the correlation between g and h is relatively strong, the arrangement of the datasets is significantly different depending on whether they are put into order according to the values of either h or g.
    Object
    h-Index
    A-Index
    Type
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  16. Harzing, A.-W.; Wal, R. van der: ¬A Google Scholar h-index for journals : an alternative metric to measure journal impact in economics and business (2009) 0.02 
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    Abstract
    We propose a new data source (Google Scholar) and metric (Hirsch's h-index) to assess journal impact in the field of economics and business. A systematic comparison between the Google Scholar h-index and the ISI Journal Impact Factor for a sample of 838 journals in economics and business shows that the former provides a more accurate and comprehensive measure of journal impact.
    Object
    h-index
    Type
    a
  17. Raan, A.F.J. van: Statistical properties of bibliometric indicators : research group indicator distributions and correlations (2006) 0.02 
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    Abstract
    In this article we present an empirical approach to the study of the statistical properties of bibliometric indicators on a very relevant but not simply available aggregation level: the research group. We focus on the distribution functions of a coherent set of indicators that are used frequently in the analysis of research performance. In this sense, the coherent set of indicators acts as a measuring instrument. Better insight into the statistical properties of a measuring instrument is necessary to enable assessment of the instrument itself. The most basic distribution in bibliometric analysis is the distribution of citations over publications, and this distribution is very skewed. Nevertheless, we clearly observe the working of the central limit theorem and find that at the level of research groups the distribution functions of the main indicators, particularly the journal- normalized and the field-normalized indicators, approach normal distributions. The results of our study underline the importance of the idea of group oeuvre, that is, the role of sets of related publications as a unit of analysis.
    Date
    22. 7.2006 16:20:22
    Type
    a
  18. Cronin, B.; Meho, L.I.: Using the h-index to rank influential information scientists (2006) 0.02 
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    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.
    Type
    a
  19. Wettlauf der Wissenschaft (2004) 0.02 
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    Source
    Online Mitteilungen. 2004, Nr.79, S.22-23 [=Mitteilungen VÖB 57(2004) H.2]
    Type
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  20. Egghe, L.; Ravichandra Rao, I.K.: Study of different h-indices for groups of authors (2008) 0.02 
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    Abstract
    In this article, for any group of authors, we define three different h-indices. First, there is the successive h-index h2 based on the ranked list of authors and their h-indices h1 as defined by Schubert (2007). Next, there is the h-index hP based on the ranked list of authors and their number of publications. Finally, there is the h-index hC based on the ranked list of authors and their number of citations. We present formulae for these three indices in Lotkaian informetrics from which it also follows that h2 < hp < hc. We give a concrete example of a group of 167 authors on the topic optical flow estimation. Besides these three h-indices, we also calculate the two-by-two Spearman rank correlation coefficient and prove that these rankings are significantly related.
    Object
    h-index
    Type
    a

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