Selected peer-reviewed publications and research outputs.
Generative AI is reshaping higher education, offering new possibilities for teaching and research. At the same time, its adoption raises ongoing concerns about ethics and academic integrity.
This study examines how AI-based vision systems may reproduce or amplify social biases in visual representations of scientists.
This paper outlines a research agenda for integrating AI methods and human-centered perspectives in library and information science.
This study analyzes social media content related to COVID-19 vaccination, focusing on linguistic patterns that influence motivation and hesitancy.
This study investigates selective amplification of scientific articles on Twitter and examines signals consistent with automated activity.
This study evaluates the accuracy, themes, and engagement patterns of eating disorder related content in short-form video platforms.
A large-scale mapping study that synthesizes software testing research trends, topics, and collaboration patterns over three decades.
A chapter discussing readership signals and their role in understanding research impact beyond citations.
A network agenda-setting analysis of the mutual relationship between WHO communications and Twitter users during COVID-19.
A text mining study that maps how big data research has evolved across multiple disciplines.
An analysis of social media discourse following FDA authorization related to IQOS and modified risk claims.
A framing analysis of COVID-19 related hashtags and public attention patterns using large-scale Twitter data.
A thematic analysis of COVID-19 hashtags to understand framing and attention dynamics on Twitter.
An analysis linking Facebook engagement patterns with citation relationships across health and biomedical topics.
A bibliometric comparison of wine research coverage and citation patterns across major scholarly databases.
An analysis of who shares scholarly health and medical information on Facebook and how sharing varies across communities.
A survey-based study of how scholars use Twitter for academic information sharing and discovery.
An analysis of social bots and political framing on Twitter during the Parkland shooting discourse.
A scientometric study of collaboration patterns between biomedical research institutions and hospitals.
A survey-based analysis of why researchers save articles in Mendeley and what readership counts may represent.
An analysis of the relationship between citation counts and Mendeley readership across subject areas.
An altmetrics analysis using Mendeley readership categories to understand who reads research articles.
A study of Mendeley readership as an altmetrics signal for social sciences and humanities and its implications for evaluation.
An evaluation of F1000 labels as a complementary signal for assessing research impact beyond citations.
A text mining approach to mapping and visualizing Iranian nanoscience and technology research outputs.
