Search (101 results, page 2 of 6)

  • × theme_ss:"Informetrie"
  • × year_i:[2010 TO 2020}
  1. Hicks, D.; Wouters, P.; Waltman, L.; Rijcke, S. de; Rafols, I.: ¬The Leiden Manifesto for research metrics : 10 principles to guide research evaluation (2015) 0.01 
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  2. Hovden, R.: Bibliometrics for Internet media : applying the h-index to YouTube (2013) 0.01 
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    Abstract
    The h-index can be a useful metric for evaluating a person's output of Internet media. Here I advocate and demonstrate adaption of the h-index and the g-index to the top video content creators on YouTube. The h-index for Internet video media is based on videos and their view counts. The h-index is defined as the number of videos with >=h × 10**5 views. The g-index is defined as the number of videos with >=g × 10**5 views on average. When compared with a video creator's total view count, the h-index and g-index better capture both productivity and impact in a single metric.
  3. Schmitz, J.; Arning, U.; Peters, I.: handbuch.io : Handbuch CoScience / Messung von wissenschaftlichem Impact (2015) 0.01 
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  4. Schreiber, M.: ¬A variant of the h-index to measure recent performance (2015) 0.01 
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    Abstract
    The predictive power of the h-index has been shown to depend on citations to rather old publications. This has raised doubts about its usefulness for predicting future scientific achievements. Here, I investigate a variant that considers only recent publications and is therefore more useful in academic hiring processes and for the allocation of research resources. It is simply defined in analogy to the usual h-index, but takes into account only publications from recent years, and it can easily be determined from the ISI Web of Knowledge.
  5. Abdelkareem, M.A.A.: In terms of publication index, what indicator is the best for researchers indexing, Google Scholar, Scopus, Clarivate or others? (2018) 0.01 
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    Abstract
    I believe that Google Scholar is the most popular academic indexing way for researchers and citations. However, some other indexing institutions may be more professional than Google Scholar but not as popular as Google Scholar. Other indexing websites like Scopus and Clarivate are providing more statistical figures for scholars, institutions or even journals. On account of publication citations, always Google Scholar shows higher citations for a paper than other indexing websites since Google Scholar consider most of the publication platforms so he can easily count the citations. While other databases just consider the citations come from those journals that are already indexed in their database
  6. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.01 
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    Date
    22. 1.2017 17:12:50
  7. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.01 
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    Date
    22. 8.2014 17:05:18
  8. Ohly, P.: Dimensions of globality : a bibliometric analysis (2016) 0.01 
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    Date
    20. 1.2019 11:22:31
  9. Crespo, J.A.; Herranz, N.; Li, Y.; Ruiz-Castillo, J.: ¬The effect on citation inequality of differences in citation practices at the web of science subject category level (2014) 0.01 
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    Abstract
    This article studies the impact of differences in citation practices at the subfield, or Web of Science subject category level, using the model introduced in Crespo, Li, and Ruiz-Castillo (2013a), according to which the number of citations received by an article depends on its underlying scientific influence and the field to which it belongs. We use the same Thomson Reuters data set of about 4.4 million articles used in Crespo et al. (2013a) to analyze 22 broad fields. The main results are the following: First, when the classification system goes from 22 fields to 219 subfields the effect on citation inequality of differences in citation practices increases from ?14% at the field level to 18% at the subfield level. Second, we estimate a set of exchange rates (ERs) over a wide [660, 978] citation quantile interval to express the citation counts of articles into the equivalent counts in the all-sciences case. In the fractional case, for example, we find that in 187 of 219 subfields the ERs are reliable in the sense that the coefficient of variation is smaller than or equal to 0.10. Third, in the fractional case the normalization of the raw data using the ERs (or subfield mean citations) as normalization factors reduces the importance of the differences in citation practices from 18% to 3.8% (3.4%) of overall citation inequality. Fourth, the results in the fractional case are essentially replicated when we adopt a multiplicative approach.
  10. Yan, E.: Finding knowledge paths among scientific disciplines (2014) 0.01 
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    Date
    26.10.2014 20:22:22
  11. Zhu, Q.; Kong, X.; Hong, S.; Li, J.; He, Z.: Global ontology research progress : a bibliometric analysis (2015) 0.01 
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    Date
    20. 1.2015 18:30:22
    17. 9.2018 18:22:23
  12. Ding, Y.: Applying weighted PageRank to author citation networks (2011) 0.01 
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    Date
    22. 1.2011 13:02:21
  13. Schlögl, C.: Internationale Sichtbarkeit der europäischen und insbesondere der deutschsprachigen Informationswissenschaft (2013) 0.01 
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    Date
    22. 3.2013 14:04:09
  14. Vieira, E.S.; Cabral, J.A.S.; Gomes, J.A.N.F.: Definition of a model based on bibliometric indicators for assessing applicants to academic positions (2014) 0.01 
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    Date
    18. 3.2014 18:22:21
  15. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.01 
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    Content
    Die vorliegende Arbeit wurde von der Philosophischen Fakultät I, der Humboldt-Universität zu Berlin im Jahr 2009 als Dissertation zur Erlangung des akademischen Grades Doctor philosophiae (Dr. phil.) angenommen.
  16. Shibata, N.; Kajikawa, Y.; Sakata, I.: Link prediction in citation networks (2012) 0.01 
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  17. Leydesdorff, L.; Rotolo, D.; Rafols, I.: Bibliometric perspectives on medical innovation using the medical subject headings of PubMed (2012) 0.01 
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  18. Calster, B. Van: It takes time : a remarkable example of delayed recognition (2012) 0.01 
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    Abstract
    The way in which scientific publications are picked up by the research community can vary. Some articles become instantly cited, whereas others go unnoticed for some time before they are discovered or rediscovered. Papers with delayed recognition have also been labeled "sleeping beauties." I briefly discuss an extreme case of a sleeping beauty. Peirce's short note in Science in 1884 shows a remarkable increase in citations since around 2000. The note received less than 1 citation per year in the decades prior to 2000, 3.5 citations per year in the 2000s, and 10.4 in the 2010s. This increase was seen in several domains, most notably meteorology, medical prediction research, and economics. The paper outlines formulas to evaluate a binary prediction system for a binary outcome. This citation increase in various domains may be attributed to a widespread, growing research focus on mathematical prediction systems and the evaluation thereof. Several recently suggested evaluation measures essentially reinvented or extended Peirce's 120-year-old ideas.
  19. Abramo, G.; D'Angelo, C.A.: ¬The VQR, Italy's second national research assessment : methodological failures and ranking distortions (2015) 0.01 
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    Location
    I
  20. Bertin, M.; Atanassova, I.; Gingras, Y.; Larivière, V.: ¬The invariant distribution of references in scientific articles (2016) 0.01 
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