- -

Methods for estimating the size of Google Scholar

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Methods for estimating the size of Google Scholar

Mostrar el registro completo del ítem

Orduña Malea, E.; Ayllon, JM.; Martín-Martín, A.; Delgado-López-Cózar, E. (2015). Methods for estimating the size of Google Scholar. Scientometrics. 104(3):931-949. doi:10.1007/s11192-015-1614-6

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/82263

Ficheros en el ítem

Metadatos del ítem

Título: Methods for estimating the size of Google Scholar
Autor: Orduña Malea, Enrique Ayllon, Juan M. Martín-Martín, Alberto Delgado-López-Cózar, Emilio
Entidad UPV: Universitat Politècnica de València. Instituto de Diseño para la Fabricación y Producción Automatizada - Institut de Disseny per a la Fabricació i Producció Automatitzada
Fecha difusión:
Resumen:
The emergence of academic search engines (mainly Google Scholar and Microsoft Academic Search) that aspire to index the entirety of current academic knowledge has revived and increased interest in the size of the academic ...[+]
Palabras clave: Academic search engines , Google Scholar , Estimation method , Size , Coverage , Webometrics
Derechos de uso: Reserva de todos los derechos
Fuente:
Scientometrics. (issn: 0138-9130 )
DOI: 10.1007/s11192-015-1614-6
Editorial:
Springer
Akadémiai Kiadó
Versión del editor: http://dx.doi.org/10.1007/s11192-015-1614-6
Tipo: Artículo

References

Adamic, I. A., & Huberman, B. A. (2001). The web’s hidden order. Communications of the ACM, 44(9), 55–59.

Adar, E., Teevan, J., & Dumais, S. T. (2009). Resonance on the web: Web dynamics and revisitation patterns. In Proceedings of the SIGCHI conference on human factors in computing systems (pp.1381–1390).

Aguillo, I. F. (2012). Is Google Scholar useful for bibliometrics? A webometric analysis. Scientometrics, 91(2), 343–351. [+]
Adamic, I. A., & Huberman, B. A. (2001). The web’s hidden order. Communications of the ACM, 44(9), 55–59.

Adar, E., Teevan, J., & Dumais, S. T. (2009). Resonance on the web: Web dynamics and revisitation patterns. In Proceedings of the SIGCHI conference on human factors in computing systems (pp.1381–1390).

Aguillo, I. F. (2012). Is Google Scholar useful for bibliometrics? A webometric analysis. Scientometrics, 91(2), 343–351.

Albert, R., Jeong, H., & Barabasi, A. L. (1999). Internet—Diameter of the world-wide web. Nature, 401(6749), 130–131.

Barabasi, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 282(5439), 509–512.

Berman, Elizabeth P. (2012). Creating the market university: How academic science became an economic engine. New Jersey: Princeton University Press.

Brewington, B. E., & Cybenko, G. (2000). How dynamic is the Web? Computer Networks, 33(1–6), 257–276.

Cothran, T. (2011). Google Scholar acceptance and use among graduate students: A quantitative study. Library and Information Science Research, 33(4), 293–301.

Delgado López-Cózar, E., & Cabezas-Clavijo, Á. (2013). Ranking journals: Could Google scholar metrics be an alternative to journal citation reports and Scimago journal rank? Learned Publishing, 26(2), 101–113.

De Winter, J. C. F., Zadpoor, A., & Dodou, D. (2014). The expansion of Google Scholar versus Web of Science: A longitudinal study. Scientometrics, 98(2), 1547–1565.

Dobra, A., & Fienberg, S. E. (2004). How large is the world wide web?. In M. Levene & A. Poulovassilis (Eds.), Web dynamics (pp. 23–43). Springer: Berlin.

Harzing, A.-W. (2014). A longitudinal study of Google Scholar coverage between 2012 and 2013. Scientometrics, 98(1), 565–575.

Jacsó, P. (2006). Dubious hit counts and cuckoo’s eggs. Online Information Review, 30(2), 188–193.

Jacsó, P. (2008). Google scholar revisited. Online Information Review, 32(1), 102–114.

Jacsó, P. (2011). The pros and cons of Microsoft Academic Search from a bibliometric perspective. Online Information Review, 35(6), 983–997.

Joint Information Systems Committee (2012). Researchers of tomorrow: The research behaviour of generation Y doctoral students. http://www.jisc.ac.uk/media/documents/publications/reports/2012/Researchers-of-Tomorrow.pdf . Accessed 10 October 2014.

Khabsa, M., & Giles, C. L. (2014). The number of scholarly documents on the public web. PLoS ONE, 9(5), e93949.

Koehler, W. (1999). An analysis of web page and web site constancy and permanence. Journal of the American Society for Information Science, 50(2), 162–180.

Koehler, W. (2002). Web page change and persistence—A four-year longitudinal study. Journal of the American Society for Information Science and Technology, 53(2), 162–171.

Koehler, W. (2004). A longitudinal study of Web pages continued a consideration of document persistence. Information Research, 9(2). http://informationr.net/ir/9-2/paper174.html . Accessed 10 October 2014.

Kousha, K., & Thelwall, M. (2008). Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines. Scientometrics, 74(2), 273–294.

Lawrence, S., & Giles, C. (1998). Searching the world wide web. Science, 280(5360), 98–100.

Lawrence, S., & Giles, C. L. (1999). Accessibility of information on the web. Nature, 400(6740), 107.

Levene, M., Fenner, T., Loizou, G., & Wheeldon, R. (2002). A stochastic model for the evolution of the web. Computer Networks, 39(3), 277–287.

Martín-Martín, A., Orduna-Malea, E., Ayllón, J. M., & Delgado López-Cózar, E. (2014). Does Google Scholar contain all highly cited documents (1950–2013)? Granada: EC3 Working Papers, 19. http://arxiv.org/abs/1410.8464 . Accessed 20 March 2015.

Meho, L. I., & Yang, K. (2007). Impact of data sources on citation counts and rankings of LIS faculty: Web of Science versus Scopus and Google Scholar. Journal of the American Society for Information Science and Technology, 58(13), 2105–2125.

Miri, S. M., Raoofi, A., & Heidari, Z. (2012). Citation analysis of hepatitis monthly by journal citation report (ISI), Google Scholar, and Scopus. Hepatitis Monthly, 12(9), e7441.

Orduna-Malea, E., & Delgado López-Cózar, E. (2014). Google Scholar Metrics evolution: An analysis according to languages. Scientometrics, 98(3), 2353–2367.

Orduna-Malea, E., Martin-Martin, A., Ayllón, Juan M., & Delgado López-Cózar, E. (2014). The silent fading of an academic search engine: The case of Microsoft Academic Search. Online Information Review, 38(7), 936–953.

Orduna-Malea, E., Serrano-Cobos, J., & Lloret-Romero, N. (2009). Las universidades públicas españolas en Google Scholar: Presencia y evolución de su publicación académica web. El profesional de la información, 18(5), 493–500.

Ortega, J. L. (2014). Academic search engines: A quantitative outlook. Netherlands: Elsevier. Chandos Information Professional Series.

Ortega, J. L., Aguillo, I., & Prieto, J. A. (2006). Longitudinal study of content and elements in the scientific web environment. Journal of Information Science, 32(4), 344–351.

Payne, N., & Thelwall, M. (2007). A longitudinal study of academic webs: Growth and stabilisation. Scientometrics, 71(3), 523–539.

Payne, N., & Thelwall, M. (2008a). Do academic link types change over time? Journal of Documentation, 64(5), 707–720.

Payne, N., & Thelwall, M. (2008b). Longitudinal trends in academic web links. Journal of Information Science, 34(1), 3–14.

Uyar, A. (2009). Investigation of the accuracy of search engine hit counts. Journal of Information Science, 35(4), 469–480.

Van Noorden, R. (2014). Scientists and the social network. Nature, 512(7513), 126–129.

Wilkinson, D., & Thelwall, M. (2013). Search markets and search results: The case of Bing. Library and Information Science Research, 35(4), 318–325.

Yang, K., & Meho, L. I. (2006). Citation Analysis: A Comparison of Google Scholar, Scopus, and Web of Science. Proceedings of the American Society for Information Science and Technology, 43(1), 1–15.

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem