Are mobile researchers more productive and cited than non-mobile researchers? A large-scale study of Norwegian scientists

Aksnes, Dag W.; Rørstad, Kristoffer; Piro, Fredrik Niclas; Sivertsen, Gunnar

doi:10.1093/reseval/rvt012

Cited by 57 publications

(37 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There is no consensus about the best regression method for citation data. Methods used so far include ordinary least squares linear regression (Aksnes, Rørstad, Piro, & Sivertsen, 2013;Dragos & Dragos, 2014 [citations per publication used as the dependant variable]; Foo & Tan, 2014;He, 2009;Mavros, Bardakas, Rafailidis et al, 2013;Rigby, 2013 [adding 1 to citations, dividing by a time normalised value and taking their log]; Tang, 2013 [adding 1 to citations and taking their log]; Stewart, 1983), logistic regression (Baldi, 1998;Bornmann, & Williams, 2013;Kutlar, Kabasakal, & Ekici, 2013;Sin, 2011;Willis, Bahler, Neuberger, & Dahm, 2011;Xia & Nakanishi, 2012;Yu, Yu, & Wang, 2014), a distribution-free regression method (Peters & van Raan, 1994), multinomial logistic regression (Baumgartner & Leydesdorff, 2014) and negative binomial regression (Chen, 2012;Didegah & Thelwall, 2013ab;McDonald, 2007;Thelwall & Maflahi, in press [for altmetrics]; Walters, 2006;Yoshikane, 2013 [for patent citations]).…”

Section: Introductionmentioning

confidence: 99%

Regression for citation data: An evaluation of different methods

Thelwall

Wilson

2014

Journal of Informetrics

120

View full text Add to dashboard Cite

Citations are increasingly used for research evaluations. It is therefore important to identify factors affecting citation scores that are unrelated to scholarly quality or usefulness so that these can be taken into account. Regression is the most powerful statistical technique to identify these factors and hence it is important to identify the best regression strategy for citation data. Citation counts tend to follow a discrete lognormal distribution and, in the absence of alternatives, have been investigated with negative binomial regression. Using simulated discrete lognormal data (continuous lognormal data rounded to the nearest integer) this article shows that a better strategy is to add one to the citations, take their log and then use the general linear (ordinary least squares) model for regression (e.g., multiple linear regression, ANOVA), or to use the generalised linear model without the log. Reasonable results can also be obtained if all the zero citations are discarded, the log is taken of the remaining citation counts and then the general linear model is used, or if the generalised linear model is used with the continuous lognormal distribution. Similar approaches are recommended for altmetric data, if it proves to be lognormally distributed

show abstract

Section: Introductionmentioning

confidence: 99%

Regression for citation data: An evaluation of different methods

Thelwall

Wilson

2014

Journal of Informetrics

120

View full text Add to dashboard Cite

show abstract

“…Emigration positively affects academic capital accumulation since it helps scholars become socialized in academic practices and conduct (Rothenberger et al 2017) while enriching skills in scholarly collaboration (Henriksen 2018;Ronda-Pupo and Katz 2018) and networking possibilities (Bormann 2017;Coccia and Bozemann 2016). This in turn boosts publication output (Aksnes et al 2013).…”

Section: The Agents Of the World-system Of Knowledge Productionmentioning

confidence: 90%

The World-Systemic Dynamics of Knowledge Production: The Distribution of Transnational Academic Capital in the Social Sciences

Demeter

2019

JWSR

View full text Add to dashboard Cite

This paper expands the framework of the Bourdieusian field theory using a world-system theoretical perspective to analyze the global system of social sciences, or what might be called the world-system of knowledge production. The analysis deals with the main agents of the world-system of social sciences, and it also investigates the core-like and periphery-like processes of the system. Our findings affirm that a very characteristic center-periphery structure exists in global social sciences, with a few hegemonic countries and distinctly peripheral world regions. Our analysis not just presents empirical data on power structures in global social sciences but it also offers meaningful typologies for analysis of the roles different world regions play in maintaining the world-system of global knowledge production. The paper also proposes a three-dimensional model by which both geographical and social/institutional center-periphery relations may be analyzed.

show abstract

“…Some authors may be guided by strategies based on academic profitability (in which case, publication in journals topping the impact rankings becomes an inexcusable objective) rather than by other criteria such as the appropriateness of the medium in terms of topic focus or language. It would also be of interest to study the individuallevel factors associated with rising citation degrees (Aksnes et al, 2013). With regard to H-index, is a widely used indicator for evaluating individual researchers' activity, even though a large body of literature is critical of this generalized application and despite the existing consensus that the measure is only valid for evaluating senior researchers, who present more homogeneous features and similar patterns of publication (Vinkler, 2007;Amez, 2012;Waltman, 2016).…”

Section: Discussion Individual Indicators For Scientific Activity Comentioning

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.

View full text Add to dashboard Cite

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.

show abstract

Are mobile researchers more productive and cited than non-mobile researchers? A large-scale study of Norwegian scientists

Cited by 57 publications

References 11 publications

Regression for citation data: An evaluation of different methods

Regression for citation data: An evaluation of different methods

The World-Systemic Dynamics of Knowledge Production: The Distribution of Transnational Academic Capital in the Social Sciences

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

Contact Info

Product

Resources

About