scientometrics and bibliometrics research

Strategic citations for a fairer academic landscape

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.

The extent of gender and race/ethnicity imbalance in infectious disease dynamics research

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.

Trends in Self-citation Rates in High-impact Neurology, Neuroscience, and Psychiatry Journals

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.

How bibliometric analysis can help to specify and track interdisciplinary research areas: A term-based analysis approach

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

Gaming the Metrics? Bibliometric Anomalies and the Integrity Crisis in Global University Rankings

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

Tomato Omics Research: Mapping Bibliometric Footprints of Global Research Trends, Collaboration Networks, and Impact Trajectories

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

From solo to collaborative: the global increase in neuroscience authors 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.

Cracking the code of co-authorship networks geo-temporally using interpretable machine learning

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

Gender imbalance in citations most pronounced in high-impact neuroscience journals

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

AI-qualizing Science

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

Two Separated Worlds: on the Preference of Influence in Life Science and Biomedical Research

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: Automated Calculation of Individual Authors' Non-Inflationary Credit-Allocation Schemas' and Collaboration Metrics from a Scopus Corpus

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.

Developing ERAF-AI: An Early-Stage Biotechnology Research Assessment Framework Optimized For Artificial Intelligence Integration

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

Ten species comprise half of the bacteriology literature, leaving most species unstudied

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

Updated science-wide author databases of standardized citation indicators including retraction data

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.

CORACLE (COVID-19 liteRAture CompiLEr): A platform for efficient tracking and extraction of SARS-CoV-2 and COVID-19 literature, with examples from post-COVID with respiratory involvement

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.

The Increasing Authorship trend in Neuroscience: A scientometric analysis across 11 countries

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.

Neurological Research in 47 Asian Countries

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.

Bibliometric analysis of neuroscience publications quantifies the impact of data sharing

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

Simple Models For Neuroscience Research Discoveries: How Often Are These Models Used In Africa

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 Size of Fields in Biomedical Sciences

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.

Molecular autism research in Africa: a scoping review comparing publication outputs to Brazil, India, the UK, and the USA.

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.

A Multi-perspective Analysis of Retractions in Life Sciences

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.

Computational Psychiatry Research Map (CPSYMAP): a New Database for Visualizing Research Papers

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.

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

In five top neuroscience journals, papers with name-inferred first and last authors of color are under-cited, mostly by White-led teams, and the gap is growing.

Evolution of research in biomedical sciences - a network-based characterization based on PubMed

This paper constructs and analyzes a keyword network from biomedical publications to study the evolution of scientific research and identify patterns in discovery.

Analysis of ISCB honorees and keynotes reveals disparities

The paper analyzes disparities in recognition of computational biology researchers based on gender, name origin, country, and race/ethnicity.

Estimating the scale of biomedical data generation using text mining

The paper estimates the scale of biomedical data generation by analyzing text mining of research articles' methods sections using word embeddings.