TL;DR
This paper surveys the field of bibliometrics, covering its history, key indicators, data sources, statistical models, and methods for mapping scientific knowledge, to better understand and measure scientific impact.
Contribution
It provides a comprehensive overview of bibliometric indicators, data sources, modeling distributions, and mapping techniques, highlighting the field's evolution and current practices.
Findings
Summarizes key bibliometric indicators and data sources.
Discusses statistical distributions used in modeling bibliometric data.
Reviews methods for visualizing and mapping scientific knowledge.
Abstract
Bibliometrics has the ambitious goal of measuring science. To this end, it exploits the way science is disseminated trough scientific publications and the resulting citation network of scientific papers. We survey the main historical contributions to the field, the most interesting bibliometric indicators, and the most popular bibliometric data sources. Moreover, we discuss distributions commonly used to model bibliometric phenomena and give an overview of methods to build bibliometric maps of science.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsscientometrics and bibliometrics research · Data Analysis with R · Web visibility and informetrics