---
title: "Scientometrics"
chunk: 1/2
source: "https://en.wikipedia.org/wiki/Scientometrics"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T03:43:00.220153+00:00"
instance: "kb-cron"
---

Scientometrics is a subfield of informetrics that studies science through mathematical and quantitative methods, analyzing both scientific output and the dynamics of research. Major research issues in scientometrics include the measurement of the impact of research papers and academic journals, the understanding of scientific citations, and the use of such measurements in policy and management contexts. 
In practice, there is a substantial overlap between scientometrics and other scientific fields, including information systems, information science, the science of science policy, the sociology of science, and metascience. Critics have argued that overreliance on scientometrics has created a system of perverse incentives, producing a publish or perish environment that leads to low-quality research.

== Historical development ==

Modern scientometrics is mostly based on the work of Derek J. de Solla Price and Eugene Garfield. The latter created the Science Citation Index and founded the Institute for Scientific Information which is heavily used for scientometric analysis. A dedicated academic journal, Scientometrics, was established in 1978. The industrialization of science increased the number of publications and research outcomes and the rise of computers allowed effective analysis of this data. While the sociology of science focused on the behavior of scientists, scientometrics focused on the analysis of publications. Accordingly, scientometrics is also referred to as the scientific and empirical study of science and its outcomes.
The development of modern scientometrics also had roots in the Soviet Union, emerging from the broader tradition of naukovedenie (science of science). The term scientometrics is a calque of the Russian term naukometriya, introduced by Vasily Nalimov in 1966 and popularized in his 1969 monograph co-authored with Zinaida Mulchenko, Naukometriya: Izuchenie razvitiya nauki kak informatsionnogo protsessa (Scientometrics: The Study of the Development of Science as an Information Process). Soviet approaches often treated science as an informational and system-level process, as reflected in the work of Nalimov and Mulchenko, whereas early Western scientometrics was strongly associated with citation indexing and the development of bibliometric indicators. Zinaida Mulchenko's role in the development of the field has received comparatively less attention in later Western accounts of scientometrics.
The International Society for Scientometrics and Informetrics founded in 1993 is an association of professionals in the field.
Later, around the turn of the century, evaluation and ranking of scientists and institutions came more into the spotlights. Based on bibliometric analysis of scientific publications and citations, the Academic Ranking of World Universities ("Shanghai ranking") was first published in 2004 by the Shanghai Jiao Tong University. Impact factors became an important tool to choose between different journals. Rankings such as the Academic Ranking of World Universities and the Times Higher Education World University Rankings (THE-ranking) became an indicator for the status of universities. The h-index became an important indicator of the productivity and impact of the work of a scientist. However, alternative author-level metrics have been proposed.
Around the same time, the interest of governments in evaluating research for the purpose of assessing the impact of science funding increased. As the investments in scientific research were included as part of the U.S. American Recovery and Reinvestment Act of 2009 (ARRA), a major economic stimulus package, programs like STAR METRICS were set up to assess if the positive impact on the economy would actually occur.

== Methods and findings ==
Methods of research include qualitative, quantitative and computational approaches. The main focus of studies have been on institutional productivity comparisons, institutional research rankings, journal rankings establishing faculty productivity and tenure standards, assessing the influence of top scholarly articles, and developing profiles of top authors and institutions in terms of research performance.
One significant finding in the field is a principle of cost escalation to the effect that achieving further findings at a given level of importance grow exponentially more costly in the expenditure of effort and resources. However, new algorithmic methods in search, machine learning and data mining are showing that is not the case for many information retrieval and extraction-based problems.
More recent methods rely on open source and open data to ensure transparency and reproducibility in line with modern open science requirements. For instance, the Unpaywall index and attendant research on open access trends is based on data retrieved from OAI-PMH endpoints of thousands of open archives provided by libraries and institutions worldwide.
Recommendations to avoid common errors in scientometrics include: select topics with sufficient data; use data mining and web scraping, combine methods, and eliminate "false positives". It is also necessary to understand the limits of search engines (e.g. Web of Science, Scopus and Google Scholar) which fail to index thousands of studies in small journals and underdeveloped countries.

== Common scientometric indexes ==
Indexes may be classified as article-level metrics, author-level metrics, and journal-level metrics depending on which feature they evaluate.

=== Impact factor ===

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI).

=== Science Citation Index ===

The Science Citation Index (SCI) is a citation index originally produced by the Institute for Scientific Information (ISI) and created by Eugene Garfield. It was officially launched in 1964. It is now owned by Clarivate Analytics (previously the Intellectual Property and Science business of Thomson Reuters). The larger version (Science Citation Index Expanded) covers more than 8,500 notable and significant journals, across 150 disciplines, from 1900 to the present. These are alternatively described as the world's leading journals of science and technology, because of a rigorous selection process.

=== Acknowledgment index ===