The many facets of academic mobility and its impact on scholars' career

Momeni, Fakhri; Karimi, Fariba; Mayr, Philipp; Peters, Isabella; Dietze, Stefan

doi:10.1016/j.joi.2022.101280

Cited by 17 publications

(8 citation statements)

References 67 publications

(94 reference statements)

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“…Therefore, investigating its impact on science and scientists has been the focus of many studies. Our recent study ( [17]) revealed the positive impact of international mobility on number of publications and received citations. However, mobile researchers do not perform necessarily better than those without mobility experience.…”

Section: Demographic Factorsmentioning

confidence: 87%

“…• mobility score: This feature indicates the frequency of movement between countries by tracking the authors' affiliations over their publications. More details about calculating this feature are available in our previous study [17]. • income current country: This feature indicates the income levels of the affiliation country in the last publication.…”

Section: Feature Definitionsmentioning

confidence: 99%

“…We can not be sure about the accessibility of papers at the time of publishing and two years time windows that we considered to calculate the number of received citations. Also, we measure the mobility feature similar to our previous paper [17] and the mentioned limitations in that paper exist for this feature too.…”

Section: Limitationsmentioning

confidence: 99%

See 2 more Smart Citations

How can I improve my scientific impact? The most influential factors in predicting the h-index

Momeni¹,

Mayr²,

Dietze³

2022

Preprint

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Evaluation of researchers' output is vital for hiring committees and funding bodies, and it is usually measured via their scientific productivity, citations, or a combined metric such as h-index. Assessing young researchers is more critical because it takes a while to get citations and increment of h-index. Hence, predicting the h-index can help to discover the researchers' scientific impact. In addition, identifying the influential factors to predict the scientific impact is helpful for researchers and their organizations seeking solutions to improve it. This study investigates the effect of author, paper and venue-specific features on the future h-index. For this purpose, we used machine learning methods to predict the h-index and feature analysis techniques to advance the understanding of feature impact. Utilizing the bibliometric data in Scopus, we defined and extracted two main groups of features. The first relates to prior scientific impact, and we name it 'prior impact-based features' and includes the number of publications, received citations, and h-index. The second group is 'non-impact-based features' and contains the features related to author, co-authorship, paper, and venue characteristics. We explored their importance in predicting h-index for researchers in three different career phases. Also, we examine the temporal dimension of predicting performance for different feature categories to find out which features are more reliable for long-and short-term prediction. We referred to the gender of the authors to examine the role of this author's characteristics in the prediction task. Our findings showed that gender has a very slight effect in predicting the h-index. We found that non-impact-based features are more robust predictors for younger scholars than seniors in the short term. Also, prior impact-based features lose their power to predict more than other features in the long-term.

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Section: Demographic Factorsmentioning

confidence: 87%

Section: Feature Definitionsmentioning

confidence: 99%

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How can I improve my scientific impact? The most influential factors in predicting the h-index

Momeni¹,

Mayr²,

Dietze³

2022

Preprint

Self Cite

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“…Through collaboration and research visits, scientists meet, ideas spread, and the foundations are laid for future collaborations. Mobility hugely impacts the centrality of scholars in their collaboration networks 41 . There are implicit factors that can indirectly affect the participation of women in scientific collaborations.…”

Section: Discussionmentioning

confidence: 99%

Influence of the first-mover advantage on the gender disparities in physics citations

2022

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Mounting evidence suggests that science and engineering fields suffer from gender biases. In this paper, we study the physics community, a discipline where women are still under-represented and gender disparities persist. To reveal such inequalities, we perform a paper matching analysis using a robust statistical similarity metric. Our analyses indicate that women’s papers tend to have lower visibility in the global citation network, a phenomenon significantly influenced by the temporal aspects of scientific production. Within pairs of similar papers, the authors that publish first tend to obtain more citations. From the group perspective, men have cumulative historical advantages due to women joining the field later and at a slower rate. Altogether, these results indicate that the first-mover advantage plays a crucial role in the emergence of gender disparities in citations of women-authored papers in the physics community.

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“…I explore how researchers moved across countries for the first postdoc and how they moved after the first postdoc to take the second postdoc or a faculty position. Their movements are examined by two known variates of academic mobility: field (Aman, 2020;Momeni et al, 2022) and gender (Cohen et al, 2020;Jöns, 2011;Leemann, 2010).…”

Section: Introductionmentioning

confidence: 99%

Global mobility of the recent STEM postdoctoral workforce registered in ORCID

Kim¹

2022

Preprint

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Postdoctoral researchers contribute to scientific, technological, and societal innovations under the supervision of academic faculty and domain experts. Their international movements facilitate the diffusion of knowledge and thus are important for research and development. To understand postdoctoral mobility at a global scale, this paper analyzes self-reported career trajectories of postdoctoral researchers by leveraging Open Researcher and Contributor ID (ORCID). Significant movements of postdoctoral researchers are identified by inferred gender in six STEM fields. The U.S. and European countries are major destinations for the first postdoctoral research position across the selected fields, while a few Asian countries are also significant destinations for male Asian postdoctoral researchers in Engineering. Relatively more females stayed in a single country for a doctoral degree and two consecutive postdoctoral research positions, and relatively more males returned to the country of a doctoral degree after completing their first postdoctoral training in the U.S., compared to another gender.

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The many facets of academic mobility and its impact on scholars' career

Cited by 17 publications

References 67 publications

How can I improve my scientific impact? The most influential factors in predicting the h-index

How can I improve my scientific impact? The most influential factors in predicting the h-index

Influence of the first-mover advantage on the gender disparities in physics citations

Global mobility of the recent STEM postdoctoral workforce registered in ORCID

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