Michael Färber

Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation

2023 · arXiv

With the remarkable increase in the number of scientific entities such as publications, researchers, and scientific topics, and the associated information overload in science, academic recommender systems have become increasingly important for millions of researchers …

Evaluating the availability of open citation data

2019 · Repository KITopen (Karlsruhe Institute of Technology)

Citation data of scientific publications are essential for different purposes, such as evaluating research and building digital library collections. In this paper, we analyze to which extent citation data of publications are openly available, using …

unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network

2023

Large-scale data sets on scholarly publications are the basis for a variety of bibliometric analyses and natural language processing (NLP) applications. Especially data sets derived from publication's full-text have recently gained attention. While several such …