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Academic Search Engines

A Quantitative Outlook

Medium: Buch
ISBN: 978-1-84334-791-0
Verlag: Woodhead Publishing Ltd
Erscheinungstermin: 02.09.2014
Lieferfrist: bis zu 10 Tage
Academic Search Engines intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic Search Engines presents a summary view of the new challenges that the Web set to the scientific activity through the most novel and innovative searching services available on the Web.

Produkteigenschaften


  • Artikelnummer: 9781843347910
  • Medium: Buch
  • ISBN: 978-1-84334-791-0
  • Verlag: Woodhead Publishing Ltd
  • Erscheinungstermin: 02.09.2014
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2014
  • Serie: Chandos Information Professional Series
  • Produktform: Kartoniert
  • Gewicht: 330 g
  • Seiten: 222
  • Format (B x H x T): 158 x 235 x 12 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Ortega, Jose Luis

José Luis Ortega is a web researcher in the Spanish National Research Council (CSIC). He achieved a fellowship to the Cybermetrics Lab of the CSIC, where he finished his doctoral studies. In 2005, he was hired by the Virtual Knowledge Studio of the Royal Netherlands Academy of Sciences and Arts, and in 2008 he received a full position in the Vice-presidency for Scientific and Technological Research at the CSIC, working in research evaluation. He collaborates with the Cybermetrics Lab in research areas such as Webometrics, Web usage mining, Visualization of Information, Social network analysis and Web bibliometrics.

1. Introduction2. CiteSeerx: a scientific engine for scientists3. Scirus: a multi-source searcher 4. AMiner: science networking as an information source5. Microsoft Academic Search: the multi-object engine 6. Google Scholar: on the shoulders of a giant 7. Other academic search engines 8. A comparative analysis 9. Final remarks