Google Scholar's ranking algorithm: The impact of citation counts (An empirical study)

Beel, Joeran; Gipp, Béla

doi:10.1109/rcis.2009.5089308

Cited by 81 publications

(52 citation statements)

References 8 publications

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“…Graphs of individual search queries show no significant interdependency between an article's age and its ranking in Google Scholar (see also [10]). This is true for all kind of search queries such as searches in full-text or title and searches with single-word, double-word and tripleword queries.…”

Section: Resultsmentioning

confidence: 99%

“…Although Google Scholar's ranking algorithm has a significant influence on which academic articles are read by the scientific community, we could not find any studies about Google Scholar's ranking algorithm despite our own ones [9,10]. From our previous studies we know that • Google Scholar's ranking algorithm puts high weight on words in the title.…”

Section: Related Workmentioning

confidence: 99%

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Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study)

Beel

Gipp

2009

2009 Sixth International Conference on Information Technology: New Generations

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Google Scholar is one of the major academic search engines but its ranking algorithm for academic articles is unknown. In recent studies we partly reverse-engineered the algorithm. This paper presents the results of our third study. While the first study provided a broad overview and the second study focused on researching the impact of citation counts, the current study focused on analyzing the correlation of an article's age and its ranking in Google Scholar. In other words, it was analyzed if older/recent published articles are more/less likely to appear in a top position in Google Scholar's result lists. For our study, age and rankings of 1,099,749 articles retrieved via 2,100 search queries were analyzed. The analysis revealed that an article's age seems to play no significant role in Google Scholar's ranking algorithm. It is also discussed why this might lead to a suboptimal ranking.

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study)

Beel

Gipp

2009

2009 Sixth International Conference on Information Technology: New Generations

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“…Joeran Beel et al [4] proposed Citation count ranking algorithm in 2009, which is one of the simplest methods for ranking the publications. The algorithm is based on the citation graph without any other parameter included in it.…”

Section: Citation Count Ranking Algorithmmentioning

confidence: 99%

Comparative Analysis of Page Ranking Algorithms in Digital Libraries

Nehra¹,

Gaur²

2016

IJCA

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Page ranking algorithms are important facet of ranking the articles in online digital libraries. Researchers utilize the digital libraries for their research and to find popular, recent and relevant articles in their domain. Ranking plays crucial role in searching, as there are millions of articles present in academic digital libraries, there is a need to order them so that users can find propitious articles efficiently. This paper presents a study and a comparative review of various ranking algorithms in online digital libraries under different web mining techniques based on their scope, performance, advantages and challenges. The paper also shows that how some of the drawbacks of certain algorithms are met by other proposed algorithms. This comparative analysis helps in further improvements in the related field.

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“…This can be accomplished by taking content of other websites and combining different (stolen) texts as 'new content', or by stuffing many keywords in a web page's meta tags 1 , title, ALT-tags of images, the body text, creating doorway pages, and placing invisible text on a web page. Invisible text usually means text in the same color as the background or text in layers which are behind the normal text or which are invisible.…”

Section: Related Workmentioning

confidence: 99%

“…In recent studies we researched the ranking algorithm of Google Scholar [1][2][3] and gave advice to researchers on how to optimize their scholarly literature for Google Scholar [4]. However, there are provisos in the academic community against what we called "Academic Search Engine Optimization" [4].…”

Section: Introductionmentioning

confidence: 99%

On the robustness of google scholar against spam

Beel

Gipp

2010

Proceedings of the 21st ACM Conference on Hypertext and Hypermedia

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In this research-in-progress paper we present the current results of several experiments in which we analyzed whether spamming Google Scholar is possible. Our results show, it is possible: We 'improved' the ranking of articles by manipulating their citation counts and we made articles appear in searchers for keywords the articles did not originally contained by placing invisible text in modified versions of the article.

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Google Scholar's ranking algorithm: The impact of citation counts (An empirical study)

Cited by 81 publications

References 8 publications

Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study)

Google Scholar's Ranking Algorithm: The Impact of Articles' Age (An Empirical Study)

Comparative Analysis of Page Ranking Algorithms in Digital Libraries

On the robustness of google scholar against spam

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