Received citations as a main SEO factor of Google Scholar results ranking

Authors

Keywords:

ASEO, SEO, Reverse engineering, Citations, Google Scholar, Indicators, Rankings, Algorithms, Academic search engines.

Abstract

The aim of this article is to analyze the web positioning factors that can influence the order, by relevance, in Google Scholar and the subsequent evaluation of the importance of received citations in this ordering process. The methodology of reverse engineering was applied, in which a comparison was made between the Google Scholar ranking and another ranking consisting of only the number of citations received by documents. This investigation was conducted employing four types of searches without the use of keywords: by publication, year, author, and "cited by". The results were matched in the four samples with correlation coefficients between the two highest rankings, which exceeded 0.9. The present study demonstrates more clearly than in previous research how citations are the most relevant off-page feature in the ranking of search results on Google Scholar. The other features have minimal influence. This information provides a solid basis for the academic search engine optimization (ASEO) discipline. We also developed a new analysis procedure for isolating off-page features that might be of practical use in forthcoming investigations.

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References

Aguillo, Isidro F. (2012). "Is Google Scholar useful for bibliometrics? A webometric analysis". Scientometrics, v. 91, n. 2, pp. 343-351. https://goo.gl/nYBmZb

Beel, Joeran; Gipp, Bela (2009a). "Google Scholar´s ranking algorithm: An introductory overview". In: Procs of the 12th intl conf on scientometrics and informetrics, ISSI´09, pp. 230-241. https://goo.gl/c8a6YU

Beel, Joeran; Gipp, Bela (2009b). "Google Scholar´s ranking algorithm: the impact of articles´ age (an empirical study)". In: 6th intl conf on information technology: New generations, ITNG´09, pp. 160-164. https://doi.org/10.1109/ITNG.2009.317

Beel, Joeran; Gipp, Bela (2009c). "Google Scholar´s ranking algorithm: the impact of citation counts (an empirical study)". In: 3rd intl conf on research challenges in information science, RCIS 2009, pp. 439-446. https://doi.org/10.1109/RCIS.2009.5089308

Beel, Joeran; Gipp, Bela (2010). "Academic search engine spam and Google Scholar´s resilience against it". The journal of electronic publishing, v. 13, n. 3, pp. 1-28. https://doi.org/10.3998/3336451.0013.305

Beel, Joeran; Gipp, Bela; Wilde, Erik (2010). "Academic search engine optimization (ASEO). Optimizing scholarly literature for Google Scholar & co". Journal of scholarly publishing, v. 41, n. 2, pp. 176-190. https://doi.org/10.3138/jsp.41.2.176

Codina, Lluí­s (2017). "SEO académico: definición, componentes y guí­a de herramientas". Lluí­s Codina, 17 noviembre. https://www.lluiscodina.com/seo-academico-guia

De-Groote, Sandra L.; Raszewski, Rebecca (2012). "Coverage of Google Scholar, Scopus, and Web of Science: A case study of the h-index in nursing". Nursing outlook, v. 60, n. 6, pp. 391-400. https://doi.org/10.1016/j.outlook.2012.04.007

De-Winter, Joost C. F.; Zadpoor, Amir A.; Dodou, Dimitra (2014). "The expansion of Google Scholar versus Web of Science: A longitudinal study". Scientometrics, v. 98, n. 2, pp. 1547-1565. https://doi.org/10.1007/s11192-013-1089-2

Delgado-López-Cózar, Emilio; Robinson-Garcí­a, Nicolás; Torres-Salinas, Daniel (2012). Manipular Google Scholar Citations y Google Scholar Metrics: simple, sencillo y tentador. EC3 working papers. Granada: Universidad De Granada. http://hdl.handle.net/10481/20469

Delgado-López-Cózar, Emilio; Robinson-Garcí­a, Nicolás; Torres-Salinas, Daniel (2014). "The Google Scholar experiment: How to index false papers and manipulate bibliometric indicators". Journal of the Association for Information Science and Technology, v. 65, n. 3, pp. 446-454. https://doi.org/10.1002/asi.23056

Elsevier (2012). "Get found: optimize your research articles for search engines". Elsevier, 6 Nov. https://www.elsevier.com/connect/get-found-optimize-your-research-articles-for-search-engines

Emerald Publishing Limited (2017). "How to... disseminate your work". Emerald Publishing. http://www.emeraldgrouppublishing.com/authors/guides/promote/disseminate.htm

Enge, Eric; Spencer, Stephan; Stricchiola, Jessie (2015). The art of SEO: mastering search engine optimization. Sebastopol CA: O´Reilly Media. ISBN: 978 1 491903643

Farhadi, Hadi; Salehi, Hadi; Yunus, Melor; Aghaei-Chadegani, Arezoo; Farhadi, Maryam; Fooladi, Masood; Ale-Ebrahim, Nader (2013). "Does it matter which citation tool is used to compare the h-index of a group of highly cited researchers?". Australian journal of basic and applied sciences, v. 7, n. 4, pp. 198-202. https://ssrn.com/abstract=2259614

Gielen, Matt; Rosen, Jeremy (2016). "Reverse engineering the YouTube algorithm: Part I". Tubefilter.com, 23 June. http://www.tubefilter.com/2016/06/23/reverse-engineering-youtube-algorithm

Giustini, Dean; Boulos, Maged N. K. (2013). "Google Scholar is not enough to be used alone for systematic reviews". Online journal of public health informatics, v. 5, n. 2, pp. 1-9. https://doi.org/10.5210/ojphi.v5i2.4623

Google (2011). "About Google Scholar". Google Scholar. http://scholar.google.com/intl/en/scholar/about.html

Google (2017). "How Google search works. Learn how Google discovers, crawls, and serves web pages". Google. Search console help. https://support.google.com/webmasters/answer/70897?hl=en

Harzing, Anne-Wil (2011). The publish or perish book: your guide to effective and responsible citation analysis. Melbourne, Australia: Tarma Software Research Pty Ltd. ISBN: 978 1 60752 120 4 https://harzing.com/publications/publish-or-perish-book/pdf

Harzing, Anne-Wil (2013). "A preliminary test of Google Scholar as a source for citation data: A longitudinal study of Nobel prize winners". Scientometrics, v. 94, n. 3, pp. 1057-1075. https://doi.org/10.1007/s11192-012-0777-7

Harzing, Anne-Wil (2014). "A longitudinal study of Google Scholar coverage between 2012 and 2013". Scientometrics, v. 98, n. 1, pp. 565-575. https://doi.org/10.1007/s11192-013-0975-y

Jacsó, Péter (2008a). "Testing the calculation of a realistic h-index in Google Scholar, Scopus, and Web of Science for FW Lancaster". Library trends, v. 56, n. 4, pp. 784-815. https://doi.org/10.1353/lib.0.0011

Jacsó, Péter (2008b). "The pros and cons of computing the h-index using Google Scholar". Online information review, v. 32, n. 3, pp. 437-452. https://doi.org/10.1108/14684520810889718

Jacsó, Péter (2009). "Calculating the h-index and other bibliometric and scientometric indicators from Google Scholar with the Publish or Perish software". Online information review, v. 33, n. 6, pp. 1189-1200. https://doi.org/10.1108/14684520911011070

Jacsó, Péter (2012). "Using Google Scholar for journal impact factors and the h-index in nationwide publishing assessments in academia -siren songs and air-raid sirens". Online information review, v. 36, n. 3, pp. 462-478. https://doi.org/10.1108/14684521211241503

Jamali, Hamid R.; Asadi, Saeid (2010). "Google and the scholar: the role of Google in scientists´ information-seeking behaviour". Online information review, v. 34, n. 2, pp. 282-294. https://doi.org/10.1108/14684521011036990

Jamali, Hamid R.; Nabavi, Majid (2015). "Open access and sources of full-text articles in Google Scholar in different subject fields". Scientometrics, v. 105, n. 3, pp. 1635-1651. https://doi.org/10.1007/s11192-015-1642-2

Lemon, Jim (2006). "Plotrix: a package in the red light district of R". R-News, v. 6, n. 4, pp. 8-12. https://www.researchgate.net/publication/260171541_Plotrix_A_package_in_the_red_light_district_of_R

Localseoguide (2016). "Local SEO ranking factors study 2016". Localseoguide. http://www.localseoguide.com/guides/2016-local-seo-ranking-factors

Maciá-Domene, Fernando (2015). SEO: técnicas avanzadas. Barcelona: Anaya. ISBN: 978 84 41537309

Marcos, Mari-Carmen; González-Caro, Cristina (2010). "Comportamiento de los usuarios en la página de resultados de los buscadores. Un estudio basado en eye tracking". El profesional de la información, v. 19, n. 4, pp. 348-358. https://doi.org/10.3145/epi.2010.jul.03

Martí­n-Martí­n, Alberto; Ayllón, Juan-Manuel; Orduña-Malea, Enrique; Delgado-López-Cózar, Emilio (2016a). Google Scholar Metrics released: a matter of languages"¦ and something else. Granada: Universidad de Granada. https://arxiv.org/abs/1607.06260v1

Martí­n-Martí­n, Alberto; Orduña-Malea, Enrique; Ayllón, Juan-Manuel; Delgado-López-Cózar, Emilio (2016b). "Back to the past: On the shoulders of an academic search engine giant". Scientometrics, v. 107, n. 3, pp. 1477-1487. https://doi.org/10.1007/s11192-016-1917-2

Martí­n-Martí­n, Alberto; Orduña-Malea, Enrique; Ayllón, Juan-Manuel; Delgado-López-Cózar, Emilio (2014). Does Google Scholar contain all highly-cited documents (1950-2013)? EC3 working papers. Granada: Universidad de Granada. https://arxiv.org/abs/1410.8464

Martí­n-Martí­n, Alberto; Orduña-Malea, Enrique; Harzing, Anne-Wil; Delgado-López-Cózar, Emilio (2017). "Can we use Google Scholar to identify highly-cited documents?". Journal of informetrics, v. 11, n. 1, pp. 152-163. https://doi.org/10.1016/j.joi.2016.11.008

Mayr, Philipp; Walter, Anne-Kathrin (2007). "An exploratory study of Google Scholar". Online information review, v. 31, n. 6, pp. 814-830. https://doi.org/10.1108/14684520710841784

Merton, Robert K. (1968). "The Matthew effect in science". Science, v. 159, n. 3810, pp. 56-63. https://doi.org/10.1126/science.159.3810.56

Moed, Henk F.; Bar-Ilan, Judit; Halevi, Gali (2016). "A new methodology for comparing Google Scholar and Scopus". Journal of informetrics, v. 10, n. 2, pp. 533-551. https://doi.org/10.1016/j.joi.2016.04.017

MOZ (2015). Search engine ranking factors 2015. https://moz.com/search-ranking-factors/correlations

MOZ (2017). Google algorithm change history. https://moz.com/google-algorithm-change

Muñoz-Martí­n, Beatriz (2015). "Incrementa el impacto de tus artí­culos y blogs: de la invisibilidad a la visibilidad". Revista de la Sociedad Otorrinolaringológica de Castilla y León, Cantabria y La Rioja, v. 6, n. Suppl. 4, pp. 6-32. http://hdl.handle.net/10366/126907

Orduña-Malea, Enrique; Ayllón, Juan-Manuel; Martí­n-Martí­n, Alberto; Delgado-López-Cózar, Emilio (2014). About the size of Google Scholar: playing the numbers. EC3 working papers. Granada: Universidad de Granada. https://arxiv.org/abs/1407.6239

Orduña-Malea, Enrique; Ayllón, Juan-Manuel; Martí­n-Martí­n, Alberto; Delgado-López-Cózar, Emilio (2015). "Methods for estimating the size of Google Scholar". Scientometrics, v. 104, n. 3, pp. 931-949. https://doi.org/10.1007/s11192-015-1614-6

Orduña-Malea, Enrique; Martí­n-Martí­n, Alberto; Ayllón Juan-Manuel; Delgado-López-Cózar, Emilio (2016). La revolución Google Scholar: destapando la caja de Pandora académica. Granada: Editorial Universidad de Granada. ISBN: 978 84 33859419 https://goo.gl/3oUGKQ

Pedersen, Lee A.; Arendt, Julie (2014). "Decrease in free computer science papers found through Google Scholar". Online information review, v. 38, n. 3, pp. 348-361. https://doi.org/10.1108/OIR-07-2013-0159

R Development Core Team (2008). R: a language and environment for statistical computing. http://softlibre.unizar.es/manuales/aplicaciones/r/fullrefman.pdf

https://www.R-project.org

Ratcliff, Christopher (2016). "WebPromo´s Q&A with Google´s Andrey Lipattsev, search engine watch". Search https://searchenginewatch.com/2016/04/06/webpromos-qa-with-googles-andrey-lipattsev-transcript

Revelle, William (2017). Psych: procedures for personality and psychological research. Northwestern University. https://CRAN.R-project.org/package=psych

Schwartz, Barry (2016). "Now we know: Here are Google´s top 3 search ranking factors". Search engine land, 24 March. http://searchengineland.com/now-know-googles-top-three-search-ranking-factors-245882

Searchmetrics (2016). "Rebooting ranking factors". Searchmetrics. http://www.searchmetrics.com/knowledge-base/ranking-factors

Torres-Salinas, Daniel; Ruiz-Pérez, Rafael; Delgado-López-Cózar, Emilio (2009). "Google scholar como herramienta para la evaluación cientí­fica". El profesional de la información, v. 18, n. 5, pp. 501-510. https://doi.org/10.3145/epi.2009.sep.03

Van-Aalst, Jan (2010). "Using Google Scholar to estimate the impact of journal articles in education". Educational researcher, v. 39, n. 5, pp. 387-400. https://goo.gl/p1mDBi

Van-der-Graaf, Peter (2012). "Reverse engineering search engine algorithms is getting harder". Search engine watch, 7 June. https://searchenginewatch.com/sew/how-to/2182553/reverse-engineering-search-engine-algorithms-getting-harder

Walters, William H. (2008). "Google Scholar search performance: Comparative recall and precision". Portal: Libraries and the academy, v. 9, n. 1, pp. 5-24. https://doi.org/10.1353/pla.0.0034

Wiley (2015). Writing for SEO. https://authorservices.wiley.com/author-resources/Journal-Authors/Prepare/writing-for-seo.html

Published

2018-06-18

How to Cite

Rovira, C., Guerrero-Solé, F., & Codina, L. (2018). Received citations as a main SEO factor of Google Scholar results ranking. Profesional De La información, 27(3), 559–569. Retrieved from https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/66201