International Migration in Academia and Citation Performance: An
Analysis of German-Affiliated Researchers by Gender and Discipline Using
Scopus Publications 1996-2020
- URL: http://arxiv.org/abs/2104.12380v2
- Date: Tue, 27 Apr 2021 04:14:30 GMT
- Title: International Migration in Academia and Citation Performance: An
Analysis of German-Affiliated Researchers by Gender and Discipline Using
Scopus Publications 1996-2020
- Authors: Xinyi Zhao, Samin Aref, Emilio Zagheni, and Guy Stecklov
- Abstract summary: We analyze the trends in international migration to and from Germany among published researchers over the past 24 years.
We show that while Germany has been highly integrated into the global movement of researchers, the country has been sending more published researchers abroad than it has attracted.
- Score: 0.41998444721319206
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Germany has become a major country of immigration, as well as a research
powerhouse in Europe. As Germany spends a higher fraction of its GDP on
research and development than most countries with advanced economies, there is
an expectation that Germany should be able to attract and retain international
scholars who have high citation performance. Using an exhaustive set of over
eight million Scopus publications, we analyze the trends in international
migration to and from Germany among published researchers over the past 24
years. We assess changes in institutional affiliations for over one million
researchers who have published with a German affiliation address at some point
during the 1996-2020 period. We show that while Germany has been highly
integrated into the global movement of researchers, with particularly strong
ties to the US, the UK, and Switzerland, the country has been sending more
published researchers abroad than it has attracted. While the balance has been
largely negative over time, analyses disaggregated by gender, citation
performance, and field of research show that compositional differences in
migrant flows may help to alleviate persistent gender inequalities in selected
fields.
Related papers
- Mapping the Increasing Use of LLMs in Scientific Papers [99.67983375899719]
We conduct the first systematic, large-scale analysis across 950,965 papers published between January 2020 and February 2024 on the arXiv, bioRxiv, and Nature portfolio journals.
Our findings reveal a steady increase in LLM usage, with the largest and fastest growth observed in Computer Science papers.
arXiv Detail & Related papers (2024-04-01T17:45:15Z) - Position: AI/ML Influencers Have a Place in the Academic Process [82.2069685579588]
We investigate the role of social media influencers in enhancing the visibility of machine learning research.
We have compiled a comprehensive dataset of over 8,000 papers, spanning tweets from December 2018 to October 2023.
Our statistical and causal inference analysis reveals a significant increase in citations for papers endorsed by these influencers.
arXiv Detail & Related papers (2024-01-24T20:05:49Z) - Artificial intelligence adoption in the physical sciences, natural
sciences, life sciences, social sciences and the arts and humanities: A
bibliometric analysis of research publications from 1960-2021 [73.06361680847708]
In 1960 14% of 333 research fields were related to AI, but this increased to over half of all research fields by 1972, over 80% by 1986 and over 98% in current times.
In 1960 14% of 333 research fields were related to AI (many in computer science), but this increased to over half of all research fields by 1972, over 80% by 1986 and over 98% in current times.
We conclude that the context of the current surge appears different, and that interdisciplinary AI application is likely to be sustained.
arXiv Detail & Related papers (2023-06-15T14:08:07Z) - Analyse der Entwicklungstreiber milit\"arischer Schwarmdrohnen durch
Natural Language Processing [0.0]
Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful.
Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies.
Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008.
arXiv Detail & Related papers (2022-11-15T20:22:33Z) - A half-century of global collaboration in science and the 'Shrinking
World' [0.0]
This paper provides unique evidence of how international collaboration clusters have formed and evolved over the past 50 years across various scientific publications.
We first examine how the global presence of top-tier countries has changed in 15 natural science disciplines over time, as measured by publication volumes and international collaboration rates.
We then perform a hierarchical clustering to analyse and visualise the international collaboration clusters for each discipline and period.
arXiv Detail & Related papers (2022-11-08T18:15:23Z) - Award rate inequities in biomedical research [55.850540873687386]
The authors performed an analysis of 14,263 biomedical research proposals with proposed start dates between 2010-2022 from the University of Michigan Medical School.
There is a clear relationship between race/ethnicity and rates of proposal award.
Black/African American and Asian researchers appear disadvantaged across all submission categories relative to White researchers.
arXiv Detail & Related papers (2022-06-14T14:05:39Z) - The effect of the COVID-19 pandemic on gendered research productivity
and its correlates [0.0]
This study examined how the proportion of female authors in academic journals on a global scale changed in 2020.
We observed a decrease in research productivity for female researchers in 2020, mostly as first authors, followed by last author position.
Female researchers were not necessarily excluded from but were marginalised in research.
arXiv Detail & Related papers (2021-11-29T06:20:44Z) - Return migration of German-affiliated researchers: Analyzing departure
and return by gender, cohort, and discipline using Scopus bibliometric data
1996-2020 [0.6299766708197883]
We use Scopus bibliometric data on 8 million publications from 1.1 million researchers who have published at least once with an affiliation address from Germany in 1996-2020.
Our analyses shed light on important career stages and gender disparities between researchers who remain in Germany and those who both migrate out and those who eventually return.
arXiv Detail & Related papers (2021-10-15T19:59:21Z) - Learnings from Frontier Development Lab and SpaceML -- AI Accelerators
for NASA and ESA [57.06643156253045]
Research with AI and ML technologies lives in a variety of settings with often asynchronous goals and timelines.
We perform a case study of the Frontier Development Lab (FDL), an AI accelerator under a public-private partnership from NASA and ESA.
FDL research follows principled practices that are grounded in responsible development, conduct, and dissemination of AI research.
arXiv Detail & Related papers (2020-11-09T21:23:03Z) - Brain Drain and Brain Gain in Russia: Analyzing International Migration
of Researchers by Discipline using Scopus Bibliometric Data 1996-2020 [77.34726150561087]
We analyze all researchers who have published with a Russian affiliation address in Scopus-indexed sources in 1996-2020.
While Russia was a donor country in the late 1990s and early 2000s, it has experienced a relatively balanced circulation of researchers in more recent years.
Overall, researchers emigrating from Russia outnumbered and outperformed researchers immigrating to Russia.
arXiv Detail & Related papers (2020-08-07T12:47:38Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.