A concise review on the role of author self-citations in information science, bibliometrics and science policy

Glänzel, Wolfgang; Debackere, Koenraad; Thijs, Bart; Schubert, András

doi:10.1007/s11192-006-0098-9

Cited by 143 publications

(71 citation statements)

References 22 publications

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“…[94][95]. Third, high citation of an article could be due to various reasons while some are practical (such as: to introduce a study that builds on previous knowledge, to refer to methodologies already developed or utilized in previous articles [96]) but others are doubtful (such as excessive self-citation and 'citation of poor work' [97] etc.). So PAPER AUTHORSHIP AND CONTENT ANALYSIS OF ENGINEERING EDUCATION RESEARCH: A CASE STUDY citation count can only provide 'an approximate measure for scientific quality' [85].…”

Section: Limitationsmentioning

confidence: 99%

Authorship and Content Analysis of Engineering Education Research: A Case Study

Nawaz

2016

Int. J. Eng. Ped.

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Abstract-In this paper, Engineering Education as a discipline has been analyzed by taking IEEE Transactions on Education (IEEE T Educ) as a case; for examining the various trends that have been emerging over time. Based on various criteria of authorship and citation, an effort is made to highlight the main contributors or top authors of this engineering education community. It was found that authorship trends have been shifting more towards collaboration. It was also found that the authorship community is growing, both in terms of publications and publishing authors. Study of citation patterns during the last decade, reveals a high citation count per article, which indicates a high readership of this journal. Later, the study of authorship and citation patterns shed light on the trend that multi-author articles are cited more often than single-author articles. This study was compared with earlier studies in the field of Engineering Education Research (EER) using keyword analysis and temporal evolution and distribution of keywords. Additionally key-phrase and topic modeling was performed to identify leading and evolving research areas within the EER., Analysis of word co-occurrence was performed to discover the main context in which the keywords have been used. Lastly, topic modeling techniques were applied for probabilistic distributions of IEEE topics and the results were in line with earlier studies.

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Section: Limitationsmentioning

confidence: 99%

Authorship and Content Analysis of Engineering Education Research: A Case Study

Nawaz

2016

Int. J. Eng. Ped.

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“…Thus, in the analysis reported in this paper, self citations have not been excluded. Many researchers believe that "self" citations do not necessarily denote the popularity of one's research publications (Glänzel, Debackere et al 2006). It is instead widely accepted that citations by other researchers to one's work denote research impact and popularity.…”

Section: Metrics Data Sources and Tools Usedmentioning

confidence: 99%

A Bibliometric Assessment of Canadian Software Engineering Scholars and Institutions (1996-2006)

Garousi

Varma

2010

CIS

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This paper summarizes a ranking of Canadian researchers and institutions in the field of software engineering from 1996 to 2006, based on two metrics: impact factors, and h-index. The ranking is going to be an ongoing, annual event to identify the top 50 scholars and top 50 institutions over a 10-year period in Canada. The rankings are calculated based on the impact factor and h-index of papers published in top 12 selected software engineering journals and conferences. The top-ranked institution is Carleton University, and the top-ranked scholars (by each of the two metrics) are Lionel Briand (formerly with Carleton University) and Gail Murphy from UBC.

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“…Self-citation is a common phenomenon in the process of disseminating scientific knowledge (Glänzel et al, 2006;Shah et al, 2015). In Library and Information Science, several papers offer evidence that about half the papers published in specialized journals contain at least one instance of self-citation (Dimitroff and Arlitsch, 1995;Davarpanah and Aslekia, 2008).…”

Section: Control Indicatorsmentioning

confidence: 99%

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

González‐Alcaide

Gorraiz

2018

Front. Res. Metr. Anal.

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Research activities are subject to constant processes of evaluation, which increasingly include the use of bibliometric indicators to support decision-making. This paper presents a model for the individual evaluation of different facets of researchers' work and discusses the interest in using "control" parameters to identify deviations suggesting inappropriate conduct. The proposed model is illustrated through an empirical example that analyzes the activity of Spanish researchers in the area of Library and Information Science. There are important differences among the most productive authors, and in many cases, there is no association between the degree of participation in high-impact journals and citation indicators. The control indicators help to identify behaviors such as excessive self-citation, endogamy with regard to the principal journal of publication, and co-dependence with other investigators. We have identified different roles related to the concept of leadership, measured by means of the participation as first or corresponding author, prestige, direct contribution, active direction, supervision, or management.

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A concise review on the role of author self-citations in information science, bibliometrics and science policy

Cited by 143 publications

References 22 publications

Authorship and Content Analysis of Engineering Education Research: A Case Study

Authorship and Content Analysis of Engineering Education Research: A Case Study

A Bibliometric Assessment of Canadian Software Engineering Scholars and Institutions (1996-2006)

Assessment of Researchers Through Bibliometric Indicators: The Area of Information and Library Science in Spain as a Case Study (2001–2015)

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