-
Schlögl, C.: Internationale Sichtbarkeit der europäischen und insbesondere der deutschsprachigen Informationswissenschaft (2013)
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- Date
- 22. 3.2013 14:04:09
- Source
- Information - Wissenschaft und Praxis. 64(2013) H.1, S.1-8
-
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)
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- Date
- 18. 3.2014 18:22:21
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.3, S.560-577
-
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)
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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.
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1244-1256
-
Yan, E.: Finding knowledge paths among scientific disciplines (2014)
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- Date
- 26.10.2014 20:22:22
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2331-2347
-
Jonkers, K.; Derrick, G.E.: ¬The bibliometric bandwagon : characteristics of bibliometric articles outside the field literature (2012)
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- Content
- Erratum dazu in: JASIST 63(2012) no.6, S.1280.
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.829-836
-
Chang, K.-C.; Zhou, W.; Zhang, S.; Yuan, C,-C.: Threshold effects of the patent H-index in the relationship between patent citations and market value (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2697-2703
-
Haustein, S.; Bowman, T.D.; Holmberg, K.; Tsou, A.; Sugimoto, C.R.; Larivière, V.: Tweets as impact indicators : Examining the implications of automated "bot" accounts on Twitter (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.1, S.232-238
-
Kumar, S.: Co-authorship networks : a review of the literature (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.1, S.55-73
-
Aksnes, D.W.; Rorstad, K.; Piro, F.; Sivertsen, G.: Are female researchers less cited? : a large-scale study of Norwegian scientists (2011)
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- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.628-636
-
Dalen, H.P. van; Henkens, K.: Intended and unintended consequences of a publish-or-perish culture : a worldwide survey (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1282-1293
-
Larivière, V.; Gingras, Y.: ¬The impact factor's Matthew Effect : a natural experiment in bibliometrics (2010)
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- Abstract
- Since the publication of Robert K. Merton's theory of cumulative advantage in science (Matthew Effect), several empirical studies have tried to measure its presence at the level of papers, individual researchers, institutions, or countries. However, these studies seldom control for the intrinsic quality of papers or of researchers - better (however defined) papers or researchers could receive higher citation rates because they are indeed of better quality. Using an original method for controlling the intrinsic value of papers - identical duplicate papers published in different journals with different impact factors - this paper shows that the journal in which papers are published have a strong influence on their citation rates, as duplicate papers published in high-impact journals obtain, on average, twice as many citations as their identical counterparts published in journals with lower impact factors. The intrinsic value of a paper is thus not the only reason a given paper gets cited or not, there is a specific Matthew Effect attached to journals and this gives to papers published there an added value over and above their intrinsic quality.
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.2, S.424-427
-
Ahlgren, P.; Järvelin, K.: Measuring impact of twelve information scientists using the DCI index (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1424-1439
-
Jonkers, K.; Moya Anegon, F. de; Aguillo, I.F.: Measuring the usage of e-research infrastructure as an indicator of research activity (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1374-1382
-
Moohebat, M.; Raj, R.G.; Kareem, S.B.A.; Thorleuchter, D.: Identifying ISI-indexed articles by their lexical usage : a text analysis approach (2015)
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- Abstract
- This research creates an architecture for investigating the existence of probable lexical divergences between articles, categorized as Institute for Scientific Information (ISI) and non-ISI, and consequently, if such a difference is discovered, to propose the best available classification method. Based on a collection of ISI- and non-ISI-indexed articles in the areas of business and computer science, three classification models are trained. A sensitivity analysis is applied to demonstrate the impact of words in different syntactical forms on the classification decision. The results demonstrate that the lexical domains of ISI and non-ISI articles are distinguishable by machine learning techniques. Our findings indicate that the support vector machine identifies ISI-indexed articles in both disciplines with higher precision than do the Naïve Bayesian and K-Nearest Neighbors techniques.
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.3, S.501-511
-
Kousha, K.; Thelwall, M.: Can Amazon.com reviews help to assess the wider impacts of books? (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.3, S.566-581
-
Orduna-Malea, E.; Thelwall, M.; Kousha, K.: Web citations in patents : evidence of technological impact? (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1967-1974
-
Zhao, M.; Yan, E.; Li, K.: Data set mentions and citations : a content analysis of full-text publications (2018)
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- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.1, S.32-46
-
Albarrán, P.; Ruiz-Castillo, J.: References made and citations received by scientific articles (2011)
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- Abstract
- This article studies massive evidence about references made and citations received after a 5-year citation window by 3.7 million articles published in 1998 to 2002 in 22 scientific fields. We find that the distributions of references made and citations received share a number of basic features across sciences. Reference distributions are rather skewed to the right while citation distributions are even more highly skewed: The mean is about 20 percentage points to the right of the median, and articles with a remarkable or an outstanding number of citations represent about 9% of the total. Moreover, the existence of a power law representing the upper tail of citation distributions cannot be rejected in 17 fields whose articles represent 74.7% of the total. Contrary to the evidence in other contexts, the value of the scale parameter is above 3.5 in 13 of the 17 cases. Finally, power laws are typically small, but capture a considerable proportion of the total citations received.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.40-49
-
D'Angelo, C.A.; Giuffrida, C.; Abramo, G.: ¬A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments (2011)
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- Date
- 22. 1.2011 13:06:52
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.257-269
-
Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011)
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- Date
- 22. 1.2011 13:21:28
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.284-294
