Search (202 results, page 1 of 11)

  • × theme_ss:"Citation indexing"
  1. He, Y.; Hui, S.C.: PubSearch : a Web citation-based retrieval system (2001) 0.03 
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    Abstract
    Many scientific publications are now available on the World Wide Web for researchers to share research findings. However, they tend to be poorly organised, making the search of relevant publications difficult and time-consuming. Most existing search engines are ineffective in searching these publications, as they do not index Web publications that normally appear in PDF (portable document format) or PostScript formats. Proposes a Web citation-based retrieval system, known as PubSearch, for the retrieval of Web publications. PubSearch indexes Web publications based on citation indices and stores them into a Web Citation Database. The Web Citation Database is then mined to support publication retrieval. Apart from supporting the traditional cited reference search, PubSearch also provides document clustering search and author clustering search. Document clustering groups related publications into clusters, while author clustering categorizes authors into different research areas based on author co-citation analysis.
  2. Araújo, P.C. de; Gutierres Castanha, R.C.; Hjoerland, B.: Citation indexing and indexes (2021) 0.02 
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    Abstract
    A citation index is a bibliographic database that provides citation links between documents. The first modern citation index was suggested by the researcher Eugene Garfield in 1955 and created by him in 1964, and it represents an important innovation to knowledge organization and information retrieval. This article describes citation indexes in general, considering the modern citation indexes, including Web of Science, Scopus, Google Scholar, Microsoft Academic, Crossref, Dimensions and some special citation indexes and predecessors to the modern citation index like Shepard's Citations. We present comparative studies of the major ones and survey theoretical problems related to the role of citation indexes as subject access points (SAP), recognizing the implications to knowledge organization and information retrieval. Finally, studies on citation behavior are presented and the influence of citation indexes on knowledge organization, information retrieval and the scientific information ecosystem is recognized.
    Object
    Web of Science
  3. Gorraiz, J.: "Web of Science" versus "Scopus" oder das aktuelle Dilemma der Bibliotheken (2006) 0.01 
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    Abstract
    Bei den nachfolgenden Ausführungen handelt es sich um eine Zusammenstellung von Kommentaren, Vorträgen und Rückmeldungen von Kollegen bzw. Benutzern der Bibliothek sowie meine eigenen Erfahrungen als Vortragender im Universitätslehrgang "Master of Science", in dessen Rahmen ich das Fach "Bibliometrie" unterrichte. Schwerpunkt dieses Beitrages ist eine Zusammenfassung der Diskussion "Web of Science versus Scopus", die den aktuellen Stand der Kontroverse (vor allem an der Universität Wien im naturwissenschaftlichen Sektor) widerspiegelt. Hier ist zu bemerken, dass diese Problematik auch fachspezifisch ist und deswegen an jeder Universität bzw. in jedem Fachgebiet anders zu betrachten ist. Startpunkt meiner Betrachtung ist die allgemein akzeptierte Notwendigkeit des "Journal of Citation Reports (JCR)". Nur in diesem bibliometrischen Verzeichnis sind derzeit die "Impact Factors" zu finden, die als Grundlage jeder akademischen Evaluation dienen. Deswegen ist JCR heutzutage an jeder Universität mit naturwissenschaftlichen Fächern unentbehrlich und das aktuelle Dilemma der Bibliothekare lautet nicht wirklich "Web of Science versus Scopus", sondern genaugesagt "Fallbeispiel A: Web of Science &JCR" oder "Fallbeispiel B: Scopus &JCR".
    Object
    Web of Science
  4. Rosenberg, V.: ¬An assessment of ISI's new Web of Science : ISI's services brings citiation indexing to new and advanced researchers (1998) 0.01 
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    Abstract
    Comments on the affinity of Web technology and citation indexes and reviews the ISI service, Web of Science. Although still requiring refinement, it multiplies the effectiveness of an already effective search tool
    Object
    Web of Science
    Source
    Information today. 15(1998) no.3, S.21,61
  5. H-Index auch im Web of Science (2008) 0.01 
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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
    Web of Science
  6. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.01 
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    Abstract
    Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
    Date
    9. 7.2006 10:22:35
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.549-568
  7. Cawkell, T.: Checking research progress on 'image retrieval by shape matching' using the Web of Science (1998) 0.01 
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    Abstract
    Discusses the Web of Science database recently introduced by ISI, and which is compiled from 8.000 journals covered in the SCI, SSCI and AHCI. Briefly compares the database with the Citation Indexes as provided by the BIDS service at the University of Bath. Explores the characteristics and usefulness of the WoS through a search of it for articles on the topic of image retrieval by shape matching. Suggests that the selection of articles of interest is much easier and far quicker using the WoS than other methods of conducting a search using ISI's data
    Object
    Web of Science
  8. Vaughan, L.; Shaw , D.: Bibliographic and Web citations : what Is the difference? (2003) 0.01 
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    Abstract
    Vaughn, and Shaw look at the relationship between traditional citation and Web citation (not hyperlinks but rather textual mentions of published papers). Using English language research journals in ISI's 2000 Journal Citation Report - Information and Library Science category - 1209 full length papers published in 1997 in 46 journals were identified. Each was searched in Social Science Citation Index and on the Web using Google phrase search by entering the title in quotation marks, and followed for distinction where necessary with sub-titles, author's names, and journal title words. After removing obvious false drops, the number of web sites was recorded for comparison with the SSCI counts. A second sample from 1992 was also collected for examination. There were a total of 16,371 web citations to the selected papers. The top and bottom ranked four journals were then examined and every third citation to every third paper was selected and classified as to source type, domain, and country of origin. Web counts are much higher than ISI citation counts. Of the 46 journals from 1997, 26 demonstrated a significant correlation between Web and traditional citation counts, and 11 of the 15 in the 1992 sample also showed significant correlation. Journal impact factor in 1998 and 1999 correlated significantly with average Web citations per journal in the 1997 data, but at a low level. Thirty percent of web citations come from other papers posted on the web, and 30percent from listings of web based bibliographic services, while twelve percent come from class reading lists. High web citation journals often have web accessible tables of content.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.14, S.1313-1324
  9. Mendez, A.: Some considerations on the retrieval of literature based on citations (1978) 0.01 
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    Source
    Information scientist. 12(1978), S.67-71
  10. ISI offers intranet access to its citation index databases (1997) 0.01 
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    Abstract
    Announces the availability of the Web of Science, a proprietary Web browser providing intranet access to the Citation Index databases from ISI. The new browser interface will allow researcher to browse indexed information and perform further research. Describes search options
    Source
    Information today. 14(1997) no.4, S.1,26
  11. He, Y.; Hui, S.C.: Mining a web database for author cocitation analysis (2002) 0.01 
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    Source
    Information processing and management. 38(2002) no.4, S.491-508
  12. Cronin, B.: Bibliometrics and beyond : some thoughts on web-based citation analysis (2001) 0.01 
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    Source
    Journal of information science. 27(2001) no.1, S.1-7
  13. Smith, A.G.: Web links as analogues of citations (2004) 0.01 
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    Information Research. 9(2004), no.4
  14. Vaughan, L.; Shaw, D.: Web citation data for impact assessment : a comparison of four science disciplines (2005) 0.01 
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    Abstract
    The number and type of Web citations to journal articles in four areas of science are examined: biology, genetics, medicine, and multidisciplinary sciences. For a sample of 5,972 articles published in 114 journals, the median Web citation counts per journal article range from 6.2 in medicine to 10.4 in genetics. About 30% of Web citations in each area indicate intellectual impact (citations from articles or class readings, in contrast to citations from bibliographic services or the author's or journal's home page). Journals receiving more Web citations also have higher percentages of citations indicating intellectual impact. There is significant correlation between the number of citations reported in the databases from the Institute for Scientific Information (ISI, now Thomson Scientific) and the number of citations retrieved using the Google search engine (Web citations). The correlation is much weaker for journals published outside the United Kingdom or United States and for multidisciplinary journals. Web citation numbers are higher than ISI citation counts, suggesting that Web searches might be conducted for an earlier or a more fine-grained assessment of an article's impact. The Web-evident impact of non-UK/USA publications might provide a balance to the geographic or cultural biases observed in ISI's data, although the stability of Web citation counts is debatable.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.10, S.1075-1087
  15. Kousha, K.; Thelwall, M.: Google Scholar citations and Google Web/URL citations : a multi-discipline exploratory analysis (2007) 0.01 
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    Abstract
    We use a new data gathering method, "Web/URL citation," Web/URL and Google Scholar to compare traditional and Web-based citation patterns across multiple disciplines (biology, chemistry, physics, computing, sociology, economics, psychology, and education) based upon a sample of 1,650 articles from 108 open access (OA) journals published in 2001. A Web/URL citation of an online journal article is a Web mention of its title, URL, or both. For each discipline, except psychology, we found significant correlations between Thomson Scientific (formerly Thomson ISI, here: ISI) citations and both Google Scholar and Google Web/URL citations. Google Scholar citations correlated more highly with ISI citations than did Google Web/URL citations, indicating that the Web/URL method measures a broader type of citation phenomenon. Google Scholar citations were more numerous than ISI citations in computer science and the four social science disciplines, suggesting that Google Scholar is more comprehensive for social sciences and perhaps also when conference articles are valued and published online. We also found large disciplinary differences in the percentage overlap between ISI and Google Scholar citation sources. Finally, although we found many significant trends, there were also numerous exceptions, suggesting that replacing traditional citation sources with the Web or Google Scholar for research impact calculations would be problematic.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.7, S.1055-1065
  16. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.01 
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    Abstract
    Webometrics, the quantitative study of Web-related phenomena, emerged from the realization that methods originally designed for bibliometric analysis of scientific journal article citation patterns could be applied to the Web, with commercial search engines providing the raw data. Almind and Ingwersen (1997) defined the field and gave it its name. Other pioneers included Rodriguez Gairin (1997) and Aguillo (1998). Larson (1996) undertook exploratory link structure analysis, as did Rousseau (1997). Webometrics encompasses research from fields beyond information science such as communication studies, statistical physics, and computer science. In this review we concentrate on link analysis, but also cover other aspects of webometrics, including Web log fle analysis. One theme that runs through this chapter is the messiness of Web data and the need for data cleansing heuristics. The uncontrolled Web creates numerous problems in the interpretation of results, for instance, from the automatic creation or replication of links. The loose connection between top-level domain specifications (e.g., com, edu, and org) and their actual content is also a frustrating problem. For example, many .com sites contain noncommercial content, although com is ostensibly the main commercial top-level domain. Indeed, a skeptical researcher could claim that obstacles of this kind are so great that all Web analyses lack value. As will be seen, one response to this view, a view shared by critics of evaluative bibliometrics, is to demonstrate that Web data correlate significantly with some non-Web data in order to prove that the Web data are not wholly random. A practical response has been to develop increasingly sophisticated data cleansing techniques and multiple data analysis methods.
    Source
    Annual review of information science and technology. 39(2005), S.81-138
  17. Larivière, V.; Gingras, Y.; Archambault, E.: ¬The decline in the concentration of citations, 1900-2007 (2009) 0.01 
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    Abstract
    This article challenges recent research (Evans, 2008) reporting that the concentration of cited scientific literature increases with the online availability of articles and journals. Using Thomson Reuters' Web of Science, the present article analyses changes in the concentration of citations received (2- and 5-year citation windows) by papers published between 1900 and 2005. Three measures of concentration are used: the percentage of papers that received at least one citation (cited papers); the percentage of papers needed to account for 20%, 50%, and 80% of the citations; and the Herfindahl-Hirschman index (HHI). These measures are used for four broad disciplines: natural sciences and engineering, medical fields, social sciences, and the humanities. All these measures converge and show that, contrary to what was reported by Evans, the dispersion of citations is actually increasing.
    Date
    22. 3.2009 19:22:35
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.858-862
  18. Prime-Claverie, C.; Beigbeder, M.; Lafouge, T.: Transposition of the cocitation method with a view to classifying Web pages (2004) 0.01 
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    Abstract
    The Web is a huge source of information, and one of the main problems facing users is finding documents which correspond to their requirements. Apart from the problem of thematic relevance, the documents retrieved by search engines do not always meet the users' expectations. The document may be too general, or conversely too specialized, or of a different type from what the user is looking for, and so forth. We think that adding metadata to pages can considerably improve the process of searching for information an the Web. This article presents a possible typology for Web sites and pages, as weIl as a method for propagating metadata values, based an the study of the Web graph and more specifically the method of cocitation in this graph.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1282-1289
  19. Stock, W.G.: Eugene Garfield und die Folgen : der Weg der Fußnote bis in die Wissenschaftspolitik (2002) 0.01 
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    Abstract
    Ein Besprechungsaufsatz zur Festschrift für E. Garfield: The Web of knowledge: Festschrift in honor of Eugene Garfield. Medford, NJ: Information Today 2000.
  20. Leydesdorff, L.; Opthof, T.: Citation analysis with medical subject Headings (MeSH) using the Web of Knowledge : a new routine (2013) 0.01 
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    Abstract
    Citation analysis of documents retrieved from the Medline database (at the Web of Knowledge) has been possible only on a case-by-case basis. A technique is presented here for citation analysis in batch mode using both Medical Subject Headings (MeSH) at the Web of Knowledge and the Science Citation Index at the Web of Science (WoS). This freeware routine is applied to the case of "Brugada Syndrome," a specific disease and field of research (since 1992). The journals containing these publications, for example, are attributed to WoS categories other than "cardiac and cardiovascular systems", perhaps because of the possibility of genetic testing for this syndrome in the clinic. With this routine, all the instruments available for citation analysis can now be used on the basis of MeSH terms. Other options for crossing between Medline, WoS, and Scopus are also reviewed.
    Object
    Web of Knowledge
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.1076-1080

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