2 citations · 3 across the 5 of their papers we have counts for
6 papers
How large should academic departments be?
Jan Bachmann, Lisette Espín-Noboa, Fariba Karimi +3
Academic departments are the primary unit of scholarship and education at universities, and they vary vastly in their sizes. However, the consequences and natural dynamics of depar…
Whose Name Comes Up? III: Persona Prompting Effects in LLM-Based Scholar Recommendation
Annabella Sánchez-Guzmán, Lukas Eberhard, Denis Helic +1
Large language models (LLMs) are increasingly used as scholar recommenders, shaping who is seen as an expert in academia. Existing audits remain English-centric, single discipline,…
Bridging the Language Gap in Scholarly Data I: Enhancing Author Disambiguation Algorithms for Chinese Names
Mingrong She, Liuhuaying Yang, Ana Maria Jaramillo +1
Disambiguating scholars with identical names is essential for accurate authorship assignment and robust large-scale scientometric research. Existing methods are often designed for…
Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations
Daniele Barolo, Chiara Valentin, Fariba Karimi +3
This paper evaluates the performance of six open-weight LLMs (llama3-8b, llama3.1-8b, gemma2-9b, mixtral-8x7b, llama3-70b, llama3.1-70b) in recommending experts in physics across f…
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
Márton Karsai, János Kertész, Lisette Espín-Noboa
Poverty map inference has become a critical focus of research, utilizing both traditional and modern techniques, ranging from regression models to convolutional neural networks app…
Cumulative Advantage of Brokerage in Academia
Jan Bachmann, Lisette Espín-Noboa, Gerardo Iñiguez +1
Science is a collaborative endeavor in which "who collaborates with whom" profoundly influences scientists' career trajectories and success. Despite its relevance, little is known…