Search (45 results, page 1 of 3)

  • × theme_ss:"Citation indexing"
  • × theme_ss:"Informetrie"
  • × type_ss:"a"
  1. Marion, L.S.; McCain, K.W.: Contrasting views of software engineering journals : author cocitation choices and indexer vocabulary assignments (2001) 0.05
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    Abstract
    We explore the intellectual subject structure and research themes in software engineering through the identification and analysis of a core journal literature. We examine this literature via two expert perspectives: that of the author, who identified significant work by citing it (journal cocitation analysis), and that of the professional indexer, who tags published work with subject terms to facilitate retrieval from a bibliographic database (subject profile analysis). The data sources are SCISEARCH (the on-line version of Science Citation Index), and INSPEC (a database covering software engineering, computer science, and information systems). We use data visualization tools (cluster analysis, multidimensional scaling, and PFNets) to show the "intellectual maps" of software engineering. Cocitation and subject profile analyses demonstrate that software engineering is a distinct interdisciplinary field, valuing practical and applied aspects, and spanning a subject continuum from "programming-in-the-smalI" to "programming-in-the-large." This continuum mirrors the software development life cycle by taking the operating system or major application from initial programming through project management, implementation, and maintenance. Object orientation is an integral but distinct subject area in software engineering. Key differences are the importance of management and programming: (1) cocitation analysis emphasizes project management and systems development; (2) programming techniques/languages are more influential in subject profiles; (3) cocitation profiles place object-oriented journals separately and centrally while the subject profile analysis locates these journals with the programming/languages group
    Date
    29. 9.2001 14:01:01
  2. Garfield, E.; Pudovkin, A.I.; Istomin, V.S.: Why do we need algorithmic historiography? (2003) 0.02
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    Date
    29. 3.2003 19:52:23
  3. Marx, W.: Wie mißt man Forschungsqualität? : der Science Citation Index - ein Maßstab für die Bewertung (1996) 0.02
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    Abstract
    Ein überfordertes Gutachter-System, knapper fließende Forschungsgelder sowie die starke Faszination von Ranglisten bewirken zunehmend den Einsatz bibliometrischer Methoden zur Messung von Forschungsqualität. Grundlage der meisten Bewertungen ist der Science Citation Index, der nun auch in der Version als Online-Datenbank für umfangreiche Analysen genutzt werden kann. Erweiterungen der Retrievalsprache beim Host STN International ermöglichen statistische Analysen, die bisher nur dem SCI-Hersteller und wenigen Spezialisten vorbehalten waren. Voraussetzung für eine sinnvolle Anwendung sind vor allem die Wahl geeigneter Selektionskriterien sowie die sorgfältige Interpretation der Ergebnisse im Rahmen der Grenzen dieser Methoden
  4. Sen, B.K.; Pandalai, T.A.; Karanjai, A.: Ranking of scientists - a new approach (1998) 0.01
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    Date
    6. 9.2000 14:23:30
  5. Nicolaisen, J.: ¬The J-shaped distribution of citedness (2002) 0.01
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    Date
    6.11.2005 19:15:23
  6. Leydesdorff, L.: Clusters and maps of science journals based on bi-connected graphs in Journal Citation Reports (2004) 0.01
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    Abstract
    The aggregated journal-journal citation matrix derived from Journal Citation Reports 2001 can be decomposed into a unique subject classification using the graph-analytical algorithm of bi-connected components. This technique was recently incorporated in software tools for social network analysis. The matrix can be assessed in terms of its decomposability using articulation points which indicate overlap between the components. The articulation points of this set did not exhibit a next-order network of "general science" journals. However, the clusters differ in size and in terms of the internal density of their relations. A full classification of the journals is provided in the Appendix. The clusters can also be extracted and mapped for the visualization.
  7. Stock, W.G.: Forschung im internationalen Vergleich - Wissenschaftsindikatoren auf Zitationsbasis : ISI Essential Science Indicators (2002) 0.01
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    Abstract
    Bewertung wissenschaftlicher Forschungsergebnisse aus einer elektronischen Datenbank heraus? Rangordnungen der wichtigsten Institutionen, Wissenschaftler, Zeitschriften und sogar Länder in Fachdisziplinen nach Einfluss? Markierung "heißer", hochaktueller Artikel? Auflisten der hochzitierten Forschungsfronten in den einzelnen Wissenschaftsdisziplinen? Und das alles auf Knopfdruck und nicht mittels umständlicher szientometrischer Verfahren? Geht so etwas überhaupt? Es geht. Mit den "Essential Science Indicators" (ESI) legt das ISl ein webbasiertes Informationssystem zur Wissenschaftsevaluation vor, das einzigartige Ergebnisse präsentiert und in der Tat ausgesprochen einfach zu bedienen ist. Aber es geht, verglichen mit ausgeklügelten Methoden der empirischen Wissenschaftsforschung, nicht alles. Wo liegen die Grenzen des Systems? Wir werden die Arbeitsweise der ESI, seine Datenbasis, die eingesetzten informetrischen Algorithmen - und deren methodischen Probleme, die Suchoberfläche sowie die Ergebnisdarstellung skizzieren. Als Beispiel dienen uns Aspekte deutscher Forschung. Etwa: In welcher Disziplin haben Deutschlands Forscher den größten internationalen Einfluss? Welches deutsche Institut der Neurowissenschaften kann aufglobaler Ebene mitmischen? Oder: Welcher in Deutschland tätige Wissenschaftler führt eine disziplinspezifische Rangordnung an?Letztlich: Wer braucht die "Essential Science Indicators"? - Wir testeten die Essential Science Indicators Mitte Februar 2002 anhand der Version vom 1. Januar 2002, die das Zehn-Jahres-Intervall 1991 bis 2000 sowie die ersten zehn Monate aus 2001 berücksichtigt.
  8. Frohlich, C.; Resler, L.: Analysis of publications and citations from a geophysics research institute (2001) 0.01
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    Abstract
    We here perform an analysis of all 1128 publications produced by scientists during their employment at the University of Texas Institute for Geophysics, a geophysical research laboratory founded in 1972 that currently employs 23 Ph.D.-level scientists. We thus assess research performance using as bibliometric indicators such statistics as publications per year, citations per paper, and cited half-lives. To characterize the research style of individual scientists and to obtain insight into the origin of certain publication-counting discrepancies, we classified the 1128 publications into four categories that differed significantly with respect to statistics such as lifetime citation rates, fraction of papers never-cited after 10 years, and cited half-life. The categories were: mainstream (prestige journal) publications -32.6 lifetime cit/pap, 2.4% never cited, and 6.9 year half-life; archival (other refereed)-12.0 lifetime cit/pap. 21.5% never cited, and 9.5 years half-life; articles published as proceedings of conferences-5.4 lifetime cit/pap, 26.6% never cited, and 5.4 years half-life; and "other" publications (news articles, book reviews, etc.)-4.2 lifetime cit/pap, 57.1% never cited, and 1.9 years half-life. Because determining cited half-lives is highly similar to a well-studied phenomenon in earthquake seismology, which was familiar to us, we thoroughly evaluate five different methods for determining the cited half-life and discuss the robustness and limitations of the various methods. Unfortunately, even when data are numerous the various methods often obtain very different values for the half-life. Our preferred method determines halflife from the ratio of citations appearing in back-to-back 5-year periods. We also evaluate the reliability of the citation count data used for these kinds of analysis and conclude that citation count data are often imprecise. All observations suggest that reported differences in cited half-lives must be quite large to be significant
    Date
    29. 9.2001 14:01:26
  9. White, H.D.: Citation analysis : history (2009) 0.01
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    Abstract
    References from publications are at the same time citations to other publications. This entry introduces some of the practical uses of citation data in science and scholarship. At the individual level citations identify and permit the retrieval of specific editions of works, while also suggesting their subject matter, authority, and age. Through citation indexes, retrievals may include not only the earlier items referred to by a given work, but also the later items that cite that given work in turn. Some technical notes on retrieval are included here. Counts of citations received over time, and measures derived from them, reveal the varying impacts of works, authors, journals, organizations, and countries. This has obvious implications for the evaluation of, e.g., library collections, academics, research teams, and science policies. When treated as linkages between pairs of publications, references and citations reveal intellectual ties. Several kinds of links have been defined, such as cocitation, bibliographic coupling, and intercitation. In the aggregate, these links form networks that compactly suggest the intellectual histories of research specialties and disciplines, especially when the networks are visualized through mapping software. Citation analysis is of course not without critics, who have long pointed out imperfections in the data or in analytical techniques. However, the criticisms have generally been met by strong counterarguments from proponents.
  10. Moed, H.F.; Bruin, R.E.D.; Leeuwen, T.N.V.: New bibliometric tools for the assessment of national research performance : database description, overview of indicators and first applications (1995) 0.01
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    Date
    23. 2.1996 18:31:20
  11. Leydesdorff, L.; Bihui, J.: Mapping the Chinese Science Citation Database in terms of aggregated journal-journal citation relations (2005) 0.01
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    Date
    8. 1.2006 18:53:23
  12. Sidiropoulos, A.; Manolopoulos, Y.: ¬A new perspective to automatically rank scientific conferences using digital libraries (2005) 0.01
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    Date
    26.12.2007 19:40:23
  13. Johnson, B.; Oppenheim, C.: How socially connected are citers to those that they cite? (2007) 0.01
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    Date
    23.12.2007 14:07:23
  14. Leydesdorff, L.; Moya-Anegón, F.de; Guerrero-Bote, V.P.: Journal maps on the basis of Scopus data : a comparison with the Journal Citation Reports of the ISI (2010) 0.01
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    Date
    31. 5.2010 15:02:23
  15. 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
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 61(2008) H.1, S.124-125
  16. Kostoff, R.N.: Citation analysis cross field normalization : a new paradigm (1997) 0.00
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    Source
    Scientometrics. 39(1997) no.3, S.225-230
  17. Hayer, L.: Lazarsfeld zitiert : eine bibliometrische Analyse (2008) 0.00
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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
  18. Stock, W.G.: Wissenschaftsevaluation mittels Datenbanken : methodisch einwandfrei? (1995) 0.00
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    Abstract
    Als Maß für die Produktivität und den Einfluß von Forschern, wissenschaftlichen Einrichtungen und Fachbereichen dienen häufig anhand von Publikations- und Zitationsanalysen erstellte Ranglisten. Doch nach welchen Kriterien sind die in elektronischen Fachdatenbanken gespeicherten Informationen auszuwerten, um ein einigermaßen zutreffendes Abbild der Forschungsleistung zu erhalten?
    Source
    Spektrum der Wissenschaft. 1995, H.11, S.118-121
  19. Göbel, S.: Aspekte der Mathematikliteratur : Untersuchungen in verschiedenen Datenbanken (1997) 0.00
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    Abstract
    Literaturdatenbanken wurden eigentlich mit zwei Zielen aufgebaut: einerseits Fachliteratur zu archivieren und zu dokumentieren und andererseits die Literaturhinweise den Wissenschaftlern für Recherchen zur Verfügung zu stellen. Aus diesen gespeicherten Datenmengen kann man baer auch allgemeine Erkenntnisse über die Literatur eines Fachgebietes und das Verhalten der Forscher gewinnen. Vor allem seit den sechziger Jahren, seit dem Aufbau des Science Citation Index - in dem man auch nach zitierten Arbeiten suchen kann - gibt es eine Fülle von informationswisenschaftlichen und wissenssoziologischen Untersuchungen mit Datenbanken
    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 1997, H.2, S.48-53
  20. Stock, W.G.: Eugene Garfield und die Folgen : der Weg der Fußnote bis in die Wissenschaftspolitik (2002) 0.00
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