Search (48 results, page 1 of 3)

  • × theme_ss:"Citation indexing"
  1. He, Y.; Hui, S.C.: PubSearch : a Web citation-based retrieval system (2001) 0.09 
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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. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.07 
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    Abstract
    This paper presents a test of the validity of using Google Scholar to evaluate the publications of researchers by comparing the premises on which its search engine, PageRank, is based, to those of Garfield's theory of citation indexing. It finds that the premises are identical and that PageRank and Garfield's theory of citation indexing validate each other.
    Date
    17.12.2013 11:02:22
  3. H-Index auch im Web of Science (2008) 0.06 
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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
  4. Prime-Claverie, C.; Beigbeder, M.; Lafouge, T.: Transposition of the cocitation method with a view to classifying Web pages (2004) 0.06 
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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.
  5. Aguillo, I.F.; Granadino, B.; Ortega, J.L.; Prieto, J.A.: Scientific research activity and communication measured with cybermetrics indicators (2006) 0.06 
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    Abstract
    To test feasibility of cybermetric indicators for describing and ranking university activities as shown in their Web sites, a large set of 9,330 institutions worldwide was compiled and analyzed. Using search engines' advanced features, size (number of pages), visibility (number of external inlinks), and number of rich files (pdf, ps, doc, ppt, and As formats) were obtained for each of the institutional domains of the universities. We found a statistically significant correlation between a Web ranking built on a combination of Webometric data and other university rankings based on bibliometric and other indicators. Results show that cybermetric measures could be useful for reflecting the contribution of technologically oriented institutions, increasing the visibility of developing countries, and improving the rankings based on Science Citation Index (SCI) data with known biases.
  6. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.05 
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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.
  7. Williams, R.M.: ISI search network research front specialties (1983) 0.04 
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  8. 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
  9. Williams, R.M.: ISI search network research front specialities (1983) 0.03 
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  10. Yoon, L.L.: ¬The performance of cited references as an approach to information retrieval (1994) 0.03 
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    Abstract
    Explores the relationship between the number of cited references used in a citation search and retrieval effectiveness. Focuses on analysing in terms of information retrieval effectiveness, the overlap among posting sets retrieved by various combinations of cited references. Findings from three case studies show the more cited references used for a citation search, the better the performance, in terms of retrieving more relevant documents, up to a point of diminishing returns. The overall level of overlap among relevant documents sets was found to be low. If only some of the cited references among many candidates are used for a citation search, a significant proportion of relevant documents may be missed. The characteristics of cited references showed that some variables are good indicators to predict relevance to a given question
  11. Wildner, B.: Web of Science - Scopus : Auf der Suche nach Zitierungen (2006) 0.03 
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    Abstract
    Evaluation ist an der Medizinischen Universität Wien ein wichtiges Thema. So werden die Ressourcen innerhalb der Universität entsprechend der in den Leistungskriterien definierten Bewertungsmethode verteilt, deren Grundlage ein für jeden Fachbereich eigens berechneter normierter Impact Factor darstellt. Wissenschaftliche Leistung kann aber auch auf andere Art gemessen werden. Innerhalb einer Universitätsklinik oder Forschungsgruppe werden die Publikationen der wissenschaftlichen Mitarbeiter mittels Zitierungsanalyse bewertet. Für eine Bewerbung auf bestimmte Stellen müssen die einzelnen Wissenschaftler jeweils aktuelle Zitierungsanalysen vorlegen. Seit 2005 stellt die Universitätsbibliothek der Medizinischen Universität Wien am Campus die Datenbank Scopus zur Verfügung. Dabei handelt es sich nicht nur um eine weitere naturwissenschaftliche Literaturdatenbank, sondern um ein Konkurrenzprodukt zum Web of Science, dessen Schwerpunkt in der Suche der Referenzfelder liegt und so die Beantwortung der Fragestellung, wie oft eine wissenschaftliche Publikation zitiert wird, ermöglicht. Im seltenen Idealfall liegt eine vollständige Publikationsliste vor, von der ausgehend man eine Zitierungsanalyse starten kann. Meist aber besteht der Wunsch, nur anhand eines Autorennamens und dem Wissen, in welchem Fachgebiet jemand wissenschaftlich tätig ist, rasch die Suche nach Zitierungen zu beginnen. Im Web of Science führt der Weg über eine Cited Reference Search zu einem Cited Reference Index, aus dem man die Zitierzahlen (Times Cited) zu den einzelnen Publikationen eines Autors entnehmen kann. Als Cited Author scheinen neben dem Erstautor auch alle Mitautoren auf, vorausgesetzt die Zitierung bezieht sich auf eine Publikation, die als Source Item im Web of Science in dem Zeitraum erscheint, der für die Institution subskribiert wurde. Abschließend müssen die einzelnen Zitierzahlen eigenhändig addiert werden und ergeben so die Gesamtzahl der Zitierungen für einen bestimmten Autor. In Scopus wird nach einer Autorensuche ein Document Citation Overview geboten, der die Publikationen nach Erscheinungsjahr gereiht auflistet und gleichzeitig in einer Übersichtstabelle die Zitierzahlen pro Publikation und Jahr sowie die jeweiligen Gesamtzahlen angibt.
    Date
    4. 6.2006 17:22:15
  12. MacCain, K.W.: Descriptor and citation retrieval in the medical behavioral sciences literature : retrieval overlaps and novelty distribution (1989) 0.03 
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    Abstract
    Search results for nine topics in the medical behavioral sciences are reanalyzed to compare the overall perfor-mance of descriptor and citation search strategies in identifying relevant and novel documents. Overlap per- centages between an aggregate "descriptor-based" database (MEDLINE, EXERPTA MEDICA, PSYCINFO) and an aggregate "citation-based" database (SCISEARCH, SOCIAL SCISEARCH) ranged from 1% to 26%, with a median overlap of 8% relevant retrievals found using both search strategies. For seven topics in which both descriptor and citation strategies produced reasonably substantial retrievals, two patterns of search performance and novelty distribution were observed: (1) where descriptor and citation retrieval showed little overlap, novelty retrieval percentages differed by 17-23% between the two strategies; (2) topics with a relatively high percentage retrieval overlap shoed little difference (1-4%) in descriptor and citation novelty retrieval percentages. These results reflect the varying partial congruence of two literature networks and represent two different types of subject relevance
  13. Tho, Q.T.; Hui, S.C.; Fong, A.C.M.: ¬A citation-based document retrieval system for finding research expertise (2007) 0.02 
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    Abstract
    Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging.
  14. ISI offers intranet access to its citation index databases (1997) 0.02 
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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
  15. Rosenberg, V.: ¬An assessment of ISI's new Web of Science : ISI's services brings citiation indexing to new and advanced researchers (1998) 0.02 
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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
  16. Cawkell, T.: Checking research progress on 'image retrieval by shape matching' using the Web of Science (1998) 0.02 
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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
  17. Gabel, J.: Improving information retrieval of subjects through citation-analysis (2006) 0.02 
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    Abstract
    Citation-chasing is proposed as a method of discovering additional terms to enhance subject-search retrieval by broadening and prioritizing the results. Subjects attached to records representing cited works are compared to subjects attached to records representing the original citing sources, and to the subjects yielded by chasing see-also references from the latter group of headings. Original citing sources were yielded via a subject-list search in a library catalog using the subject heading "Language and languages - Origin." A subject-search was employed to avoid subjectivity in choosing sources. References from the sources were searched in OCLC where applicable, and the subject headings were retrieved. The subjects were ranked first by number of citations from original sources, then by total citation-frequency. The results were tiered into 4 groups in a Bradford-like distribution. A similar rank and division was performed on the subjects representing the original citing sources, and those yielded by chasing see-also references. Both in terms of subject frequency and topic type, positive comparisons between citation chasing and see-also references show a confirmation of different methods of yielding alternative subjects. Exclusive results suggest potential mutual complementary value among these different methods.
  18. Gabel, J.: Improving information retrieval of subjects through citation-analysis : a study (2006) 0.02 
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    Abstract
    Citation-chasing is proposed as a method of discovering additional terms to enhance subjectsearch retrieval. Subjects attached to OCLC records for cited works are compared to those attached to original citing sources. Citing sources were produced via a subject-list search in a library catalog using the LCSH "Language and languages-Origin." A subject-search was employed to avoid subjectivity in choosing sources. References from the sources were searched in OCLC where applicable, and the subject headings were retrieved. The subjects were ranked by citation-frequency and tiered into 3 groups in a Bradford-like distribution. Highly cited subjects were produced that were not revealed through the original search. A difference in relative importance among the subjects was also revealed. Broad extra-linguistic topics like evolution are more prominent than specific linguistic topics like phonology. There are exceptions, which appear somewhat predictable by the amount of imbalance in citation-representation among the 2 sources. Citation leaders were also produced for authors and secondary-source titles.
  19. Pao, M.L.; Worthen, D.B.: Retrieval effectiveness by semantic and citation searching (1989) 0.02 
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    Abstract
    A pilot study on the relative retrieval effectiveness of semantic relevance (by terms) and pragmatic relevance (by citations) is reported. A single database has been constructed to provide access by both descriptors and cited references. For each question from a set of queries, two equivalent sets were retrieved. All retrieved items were evaluated by subject experts for relevance to their originating queries. We conclude that there are essentially two types of relevance at work resulting in two different sets of documents. Using both search methods to create a union set is likely to increase recall. Those few retrieved by the intersection of the two methods tend to result in higher precision. Suggestions are made to develop a front-end system to display the overlapping items for higher precision and to manipulate and rank the union set sets retrieved by the two search modes for improved output
  20. Brooks, T.A.: How good are the best papers of JASIS? (2000) 0.02 
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    Content
    Top by numbers of citations: (1) Saracevic, T. et al.: A study of information seeking and retrieving I-III (1988); (2) Bates, M.: Information search tactics (1979); (3) Cooper, W.S.: On selecting a measure of retrieval effectiveness (1973); (4) Marcus, R.S.: A experimental comparison of the effectiveness of computers and humans as search intermediaries (1983); (4) Fidel, R.: Online searching styles (1984)

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