Acknowledgments
This book stands on a wide stack of free software. Particular thanks to
the bookdown authors and the broader R Core
and tidyverse communities; to the maintainers of openalexR,
bibliometrix, igraph, tidygraph, ggraph, quanteda, stm, and
tidytext for the packages this book relies on most; and to the
OpenAlex project for making large-scale,
open bibliographic data freely available.
Inspiration
The structural and pedagogical model for this book draws heavily on Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, and David D. Ebert’s Doing Meta-Analysis with R: A Hands-On Guide — both the book and its open-source repository at https://github.com/MathiasHarrer/Doing-Meta-Analysis-in-R. Their thorough, transparent, and beautifully laid-out bookdown setup — sidebar grouping, semantic callout boxes, the citation block, the dark/light toggle, MathJax-rendered formulas, downloadable BibTeX/RIS citations — set a clear standard for what a reproducible R-based research book can look like. Where the present book mirrors their conventions, it does so deliberately and gratefully. Where it diverges (colors, typography, individual icons), the divergence is cosmetic; the underlying craft is theirs to credit.
Use of LLM tools
Portions of this book were prepared with assistance from large language model tooling for
narrowly defined, non-authorial tasks: copyediting, prose smoothing, Markdown/LaTeX formatting,
scaffolding of boilerplate files (CI configs, build scripts), code refactoring. The tools used were Chat AI,
the LLM service of KISSKI (GWDG), and a self-hosted Mistral Small (24B, Apache-2.0) run locally via
Ollama and the ollamar R package — local inference only, with no data sent to
third parties for the self-hosted model.
All scientific claims, methodological choices, analyses, interpretations, and conclusions are the author’s own. No LLM-generated text was incorporated without review and revision, and every reference was verified against its DOI, arXiv ID, or ISBN.