Google Scholar: SEO académico y curación de contenidos. Una guía para autores

Lopezosa, Carlos, Codina, Lluís and Rovira, Cristòfol Google Scholar: SEO académico y curación de contenidos. Una guía para autores., 0021 [Report]

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English abstract

In this Google Scholar guide for authors we aim to help professors and researchers who have decided to activate their public profile in this database to make the best possible use of this tool. In this work, we side with authors, especially new authors, and aim to help them in two main ways. First, showing how they can optimize the possibilities of Google Scholar to disseminate their work and, in this way, improve their academic profile, and second, showing the possibilities of its advanced search and the programming of alerts.

Spanish abstract

En esta guía de Google Scholar para autores nos proponemos ayudar a profesores e investigadores que hayan decidido activar su perfil público en esta base de datos a hacer el mejor uso posible de esta herramienta. En este trabajo, nos ponemos del lado de los autores, en especial a los autores noveles y nos proponemos ayudarles de dos formas principales. Primero, mostrando de qué modo pueden optimizar las posibilidades de Google Scholar para difundir su trabajo y, en esta vía, mejorar su perfil académico, y segundo, mostrando las posibilidades de su búsqueda avanzada y de la programación de alertas.

Item type: Report
Keywords: Google Scholar, researchers, Search Engine Optimization, academics, SEO, ASEO, investigadores, académicos.
Subjects: B. Information use and sociology of information > BJ. Communication
B. Information use and sociology of information > BG. Information dissemination and diffusion.
H. Information sources, supports, channels. > HT. Web 2.0, Social networks
Depositing user: Carlos Lopezosa
Date deposited: 07 Jan 2023 09:17
Last modified: 07 Jan 2023 09:17
URI: http://hdl.handle.net/10760/43797

References

Baeza-Yates, R.; Ribeiro-Neto, B. (2010). Modern information retrieval. Addison-Wesley.

Beel, J.; Gipp, B. (2010a). Academic search engine spam and google scholar’s resilience against it. The J. of Elec. Pub. 13 (3), pp. 1-28. https://doi.org/10.3998/3336451.0013.305

Beel, J.; Gipp, B. (2009). Google scholar's ranking algorithm: the impact of articles' age (an empirical study). Proceedings of the Sixth international conference on information technology: new generations, ITNG'09, pp. 160-164.

Beel, J.; Gipp, B.; Wilde, E. (2010). Academic search engine optimization (ASEO) optimizing scholarly literature for google scholar & co. J. of Schol. Pub. 41, pp. 176-190. https://doi.org/10.3138/jsp.41.2.176

Beel, J.; Gipp, B. (2009a). Google scholar’s ranking algorithm: an introductory overview. Proceedings of the 12th international conference on scientometrics and informetrics, ISSI’09, Istanbul, Turkey, July 14-17, pp. 230-241.

Beel, J.; Gipp, B. (2009c). Google scholar's ranking algorithm: the impact of citation counts (an empirical study). Proceedings of the Third international conference on research challenges in information science, RCIS, pp, 439-446.

Blair, D.C. (1990). Language and representation in information retrieval. Elsevier.

Brin, S.; Page, L. (1998). The anatomy of a large-scale hypertextual Web search engine. Com. Net. & IS. Sys. 30 (1–7), 107–117 doi:10.1016/S0169-7552(98)00110-X.

Chang, Y.; Aung, Z. (2015). AuthorRank: A New Scheme for Identifying Field-Specific Key Researchers. Proceeding of the CONF-IRM, pp. 1-13. http://aisel.aisnet.org/confirm2015/46

Chen, L. and Nayak, R. (2008). Expertise analysis in a question answer portal for author ranking. Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Washington, DC, USA, August 31 - September 03, 2010, 134–140.

Codina, L. (2019). SEO académico: definición, componentes y guía de herramientas, Codina, Lluís. https://www.lluiscodina.com/seo-academico-guia/

Codina, L., Lopezosa, C. (2021) SEO de contenidos: conceptos, componentes y guía de recursos. Barcelona: Universitat Pompeu Fabra-BSM, Departamento de Comunicación, Máster Universitario Online en Buscadores. 2021. 87 p.

Enge, E.; Spencer, S.; Stricchiola, J. (2015). The art of SEO: mastering search engine optimization. Sebastopol CA: O'Reilly Media

Gielen, M.; Rosen, J. (2016). Reverse engineering the youtube, tubefilter.com. Available online: http://www.tubefilter.com/2016/06/23/reverse-engineering-youtube-algorithm/

Google (2019). How google search works. Learn how google discovers, crawls, and serves web pages, search console help. Available online: https://support.google.com/webmasters/answer/70897?hl=en (accessed on 1 July 2019).

Guallar, J.; Hernández-Campillo, T.r.; Codina, L. (2022). Curación de contenidos en artículos científicos. Categorías y casos. Telos: Revista de Estudios Interdisciplinarios en Ciencias Sociales, 24 (3), Venezuela. (Pp. 469-490). DOI: www.doi.org/10.36390/telos243.02

Harzing, A. W.; Alakangas, S. (2017). Microsoft Academic: is the phoenix getting wings?. Scientometrics110, 371-383. http://eprints.mdx.ac.uk/20937/1/mas2.pdf

Hristidis, V., Hwang, H., and Papakonstantinou, Y. (2008). Authority-based keyword search in databases. ACM Tran. on Dat. Sys.33(1), 11–14.

Hug, S. E.; Ochsner, M.; Brändle, M. P. (2017). Citation analysis with microsoft academic. Scientometrics. 110, 371-378. https://arxiv.org/pdf/1609.05354.pdf

Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Jo. of the ACM, 46(5), 604–632.

Local seo guide. Local SEO ranking factors study 2016: http://www.localseoguide.com/guides/2016-local-seo-ranking-factors/ (accessed on 1 July 2019).

Lopezosa, C., Trillo-Domínguez, M., Codina, L. y Cabrera Méndez, M. (2021). SEO in the journalistic company: perceptions and key elements for its adoption in writing. Revista Latina de Comunicación Social, 79, 27-45. https://www.doi.org/10.4185/RLCS-2020-1487

Lopezosa, C., Iglesias-García, M., González-Díaz, C., & Codina, L. (2020). Experiencia de búsqueda en cibermedios: análisis comparativo de diarios nativos digitales. Revista Española De Documentación Científica, 43(1), e254. https://doi.org/10.3989/redc.2020.1.1677

Lopezosa C, Codina L, Freixa P. (2018). SEO y comunicación audiovisual: análisis comparativo de portales de vídeo bajo demanda. Barcelona: Universitat Pompeu Fabra. Departamento de Comunicación,117 p. (Serie Digital Digidoc-EPI. Proyecto Comunicación Interactiva)

Maciá-Domene, F. (2015). SEO: técnicas avanzadas. Anaya: Barcelona, Spain, 2015, 1-408

Martín-Martín, A.; Ayllón, J.M.; Orduña-Malea, E.; López-Cózar, E.D. (2016a). Google Scholar Metrics released: a matter of languages... and something else. EC3 working papers: Granada, Spain, 1-14. https://arxiv.org/abs/1607.06260v1

Martín-Martín, A.; Orduña-Malea, E.; Ayllón, J.M.; López-Cózar, E.D. (2014). Does Google Scholar contain all highly cited documents (1950-2013)? EC3 working papers: Granada, Spain, 2014, 1-96. https://arxiv.org/abs/1410.8464

MOZ. (2019). Google algorithm change history. https://moz.com/google-algorithm-change

Muñoz-Martín, B. (2015). Incrementa el impacto de tus artículos y blogs: de la invisibilidad a la visibilidad http://hdl.handle.net/10366/126907

Nie, Z., Zhang, Y., Wen, J. R., & Ma, W. Y. (2005). Object-level ranking: bringing order to web objects. Proceedings of the 14th international conference on World Wide Web (ACM) pp. 567-574. https://doi.org/10.1145/1060745.1060828

Orduña-Malea, E.; Martín-Martín, A; Ayllon, J.M;Delgado-Lopez-Cozar, E. (2014). The silent fading of an academic search engine: the case of Microsoft Academic Search. On. Inf. Rev.38, 936-953. https://riunet.upv.es/bitstream/handle/10251/82266/silent-fading-microsoft-academic-search.pdf?sequence=2

Ratcliff, C. Web (2019). Promo’s Q&A with google’s Andrey Lipattsev, search engine watch. Available online: https://searchenginewatch.com/2016/04/06/webpromos-qa-with-googles-andrey-lipattsev-transcript

Romero, D. M., Galuba, W., Asur, S., and Huberman, B. A. (2011). Influence and passivity in social media. Mach. Lea. & Know. Disc. in Dat., 6913, 18–33.

Rovira, C.; Guerrero-Solé, F.; Codina, L. (2018). Received citations as a main SEO factor of Google Scholar results ranking. El Profesional de la información 27(3), 559-569. https://doi.org/10.3145/epi.2018.may.09

Rovira, C.; Codina, L.; Guerrero-Solé, F.; Lopezosa, C. (2019). Ranking by Relevance and Citation Counts, a Comparative Study: Google Scholar, Microsoft Academic, WoS and Scopus. Future Internet, 11(9):202. https://doi.org/10.3390/fi11090202

Rovira, C.; Codina, L.; Lopezosa, C. (2021). Language Bias in the Google Scholar Ranking Algorithm. Future Internet, 13, 31. https://doi.org/10.3390/fi13020031

Salton, G; McGill, M. J. (1987). Introduction to modern information retrieval. McGraw Hill

Schwartz, B. (2019). Now we know: here are google’s top 3 search ranking factors, search engine land. Available online: http://searchengineland.com/now-know-googles-top-three-search-ranking-factors-245882

Searchmetrics. (2019). Rebooting ranking factors. http://www.searchmetrics.com/knowledge-base/ranking-factors/

Thelwall, M. (2018). Does Microsoft Academic find early citations? Scientometrics, v.114, pp. 325-334. https://wlv.openrepository.com/bitstream/handle/2436/620806/?sequence=1

Tunkelang, D. (2009). A Twitter analog to PageRank. The Noisy Channel Blog (2009)Available online: http: //thenoisychannel.com/ (accessed on 1 July 2019).

Vallez, M.; Lopezosa, C.; Pedraza-Jiménez, R. (2022). A study of the Web visibility of the SDGs and the 2030 Agenda on university websites, International Journal of Sustainability in Higher Education. 2022, 23,8, 41-59. https://doi.org/10.1108/IJSHE-09-2021-0361

Walker, D., Xie, H., Yan, K.-K., and Maslov, S. (2007). Ranking scientific publications using a model of network traffic. J. of Sta. Mech. The. & Exp. 2007, 06, 6-10.

Weng, J., Lim, E.-P., Jiang, J., and He, Q. (2010). TwitterRank: Finding topic-sensitive influential Twitterers. Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, (WSDM), pp. 261–270.

Yamaguchi, Y., Takahashi, T., Amagasa, T., and Kitagawa, H. (2010). TURank: Twitter user ranking based on user-tweet graph analysis. W. Infor. Sys. Eng.– WISE, 2010, 6488, 240–253.

Ziakis, C.; Vlachopoulou, M.; Kyrkoudis, T.; Karagkiozidou, M. (2019). Important Factors for Improving Google Search Rank. Fut. In., pp. 11, 1- 12. https://doi.org/10.3390/fi11020032


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