scientometrics and bibliometrics research

The paper analyzes precocious citation impact, finding that top-cited authors in short timeframes often exhibit indicators of potential fraud or manipulation.

The paper analyzes citation patterns across for-profit and non-profit journals in ecology and evolution, finding siloed citation practices that reinforce the dominance of for-profit journals and proposes strategic citation as a solution.

This study analyzes gender and race/ethnicity imbalances in infectious disease dynamics research using machine learning to infer author identities from publications 2000-2019, revealing persistent disparities in authorship and citation practices.

This study analyzes self-citation rates across 100,347 articles from 63 neuroscience journals between 2000-2020, revealing trends in self-citation by author position, country, gender, and field.

This paper demonstrates how term-based bibliometric analysis can define and track interdisciplinary research areas using unigram and bigram term analyses.

This study identifies universities manipulating bibliometric metrics by analyzing performance anomalies and introduces a risk index to detect research integrity issues.

This paper analyzes tomato omics research trends, collaboration networks, and impact trajectories using bibliometric data from 1,702 publications over two decades.

The paper analyzes the global increase in neuroscience publication authorship from 2001 to 2022, showing consistent growth across countries with varying trends.

The paper analyzes co-authorship networks using interpretable machine learning to identify research trends and patterns in scientific collaboration over time.

The paper analyzes citation gender imbalances in high-impact neuroscience journals, finding persistent and increasing disparities favoring men, especially in prestigious journals.

This paper shows that open-access AI tools like AlphaFold increase high-impact protein research output from lower-ranked institutions.

This paper introduces a citation enrichment metric to analyze global scientific influence and finds two separated worlds of scientific exchange based on citation patterns.

AuthormetriX automates the calculation of non-inflationary author credit-allocation schemas and collaboration metrics from a Scopus corpus, showing schema differences in rank displacement but population differences in contribution proportions.

This paper introduces ERAF-AI, a framework for evaluating early-stage biotechnology research using AI, showing improved prioritization over conventional methods.

The paper analyzes bacteriology literature and finds that ten species account for half of all research, leaving 74% of species unstudied.

Linking 39,468 eligible Retraction Watch retractions to Scopus shows 3.3% of 217,097 career-long and 4.0% of 223,152 single-year (2023) top-2% cited scientists have at least one retraction.

This paper surveys 222 Best Paper awards across disciplines and finds they lack transparency, inclusivity, and support for Open Science, with geographic and gender biases.

CORACLE is a web tool for tracking and analyzing COVID-19 literature, enabling users to explore publication networks and MeSH terms to identify key research trends and publications.

This study analyzes authorship trends in neuroscience publications across 11 countries from 2000 to 2022, finding an overall increase in average authors per paper, with Italy having the highest average and the Netherlands the largest increase.

The paper finds that female-dominated disciplines have lower research quality evaluations and funding success rates, affecting both men and women.

This study analyzes neurology research output and citations across 47 Asian countries from 2013 to 2022, revealing high activity but significant disparities in research output and impact.

This study analyzes how author order in equal contributor listings is determined and whether gender bias persists after a policy requiring explanations for order was implemented.

This study uses bibliometric analysis to examine cafeteria diet research, identifying trends and key contributors in the field of neurobiological and behavioral disturbances.

The paper analyzes global research output and growth rates from 2020-2023, finding Saudi Arabia, Egypt, and Pakistan had the highest growth rates, with Saudi Arabia leading in international collaboration and citations per paper.

The paper quantifies the impact of data sharing in neuroscience by analyzing citations and reusage of neural morphology datasets.

The paper analyzes the use of simple animal models in African research publications from 2000 to 2021, finding that South Africa, Nigeria, Kenya, Egypt, Morocco, and Tunisia contributed 75% of studies, with most studies having international collaborations.

The paper estimates the size of biomedical research fields by counting unique authors in PubMed publications, finding significant variation in subfield sizes and potential correlations with workforce strength and public health burden.

This paper compares molecular autism research publications from Africa, focusing on South Africa, with Brazil, India, the UK, and the USA, highlighting disparities in publication output and potential barriers.

This study analyzes trends in retracted life sciences publications across time, countries, journals, and topics using PubMed data and NLP techniques, finding increasing retraction rates and disparities in publication quality.

The paper introduces CPSYMAP, a database that visualizes computational psychiatry research papers in a 2D map to show distribution across neuroscience, psychiatry, and computational dimensions.