A systematic analysis of duplicate records in Scopus

Valderrama‐Zurián, Juan Carlos; Aguilar-Moya, Remedios; Melero-Fuentes, David; Benavent, Rafael Aleixandre

doi:10.1016/j.joi.2015.05.002

Cited by 103 publications

(64 citation statements)

References 19 publications

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“…De Groote & Raszewski (2012) found "duplicate citing references" both in GS, WoS and Scopus, and also Adriaanse & Rensleigh (2013) observed that GS indexes multiple copies of the same article. Pitol and De Groote (2014) present an in-depth analysis of multiple versions in Google Scholar, and Valderrama-Zurián et al (2015) on duplicate records in Scopus. Google Scholar often includes different versions of the same document.…”

Section: The Effect Of Duplicates On Citation Countsmentioning

confidence: 99%

A new methodology for comparing Google Scholar and Scopus

Moed¹,

Bar‐Ilan

Halevi

2016

Journal of Informetrics

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A new methodology is proposed for comparing Google Scholar (GS) with other citation indexes. It focuses on the coverage and citation impact of sources, indexing speed, and data quality, including the effect of duplicate citation counts. The method compares GS with Elsevier's Scopus, and is applied to a limited set of articles published in 12 journals from six subject fields, so that its findings cannot be generalized to all journals or fields. The study is exploratory, and hypothesis generating rather than hypothesis-testing. It confirms findings on source coverage and citation impact obtained in earlier studies. The ratio of GS over Scopus citation varies across subject fields between 1.0 and 4.0, while Open Access journals in the sample show higher ratios than their non-OA counterparts. The linear correlation between GS and Scopus citation counts at the article level is high: Pearson's R is in the range of 0.8-0.9. A median Scopus indexing delay of two months compared to GS is largely though not exclusively due to missing cited references in articles in press in Scopus. The effect of double citation counts in GS due to multiple citations with identical or substantially similar meta-data occurs in less than 2 per cent of cases. Pros and cons of article-based and what is termed as concept-based citation indexes are discussed.

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Section: The Effect Of Duplicates On Citation Countsmentioning

confidence: 99%

A new methodology for comparing Google Scholar and Scopus

Moed¹,

Bar‐Ilan

Halevi

2016

Journal of Informetrics

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“…However, as study [24] shows, the distribution of journal topics is different in Scopus and Web of Science. Since the primary focus of this research is welding, journals on Engineering and Technology are of interest.…”

Section: Comparison Of Scopus and Web Of Sciencementioning

confidence: 94%

“…About 13960 articles (94%) had complete records and were used for further analysis in this study. According to [28], the Scopus database might contain duplicate entries of up to about 13%. Some duplicate entries might be left in the dataset after manual cleaning and might have an influence on the accuracy of the results.…”

Section: Limitationsmentioning

confidence: 99%

Bibliometric Study of Welding Scientific Publications by Big Data Analysis

Layus

Kah

2015

IJMEA

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Abstract:Researchers are nowadays overloaded with scientific information, and it is often difficult to obtain a clear overview of existing topical research in some particular field. Big data tools and instruments can be utilized to define trending research topics by analyzing recent publications. This paper analyses 12000 articles related to arc welding from the Scopus database for the period 2001-2012 using VOS viewer and Microsoft Excel. The most commonly occurring keywords are presented statically and as a time series. The results of this paper provide an overall landscape of scientific research in the field of arc welding and help indicate trends of emerging topics in welding research. This work is of value to both industry and academia as an indicator of changes in the field and areas of current interest. Some guidelines for potential future research on the subject are provided.

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“…During the data verification process, some inconsistencies were detected. Nevertheless, this is a common problem of large databases given that they contain a huge amount of information from a variety of sources [35,36].…”

Section: Data Parsing and Text Refiningmentioning

confidence: 99%

Power Quality: Scientific Collaboration Networks and Research Trends

et al. 2018

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Power quality is a research field related to the proper operation of devices and technological equipment in industry, service, and domestic activities. The level of power quality is determined by variations in voltage, frequency, and waveforms with respect to reference values. These variations correspond to different types of disturbances, including power fluctuations, interruptions, and transients. Several studies have been focused on analysing power quality issues. However, there is a lack of studies on the analysis of both the trending topics and the scientific collaboration network underlying the field of power quality. To address these aspects, an advanced model is used to retrieve data from publications related to power quality and analyse this information using a graph visualisation software and statistical tools. The results suggest that research interests are mainly focused on the analysis of power quality problems and mitigation techniques. Furthermore, they are observed important collaboration networks between researchers within and across countries.

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A systematic analysis of duplicate records in Scopus

Cited by 103 publications

References 19 publications

A new methodology for comparing Google Scholar and Scopus

A new methodology for comparing Google Scholar and Scopus

Bibliometric Study of Welding Scientific Publications by Big Data Analysis

Power Quality: Scientific Collaboration Networks and Research Trends

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