lotka

It estimates Lotka's law coefficients for scientific productivity (<cite>Lotka A.J., 1926</cite>).

Tool for quantitative research in scientometrics and bibliometrics.
It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and
Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>.
'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS',
'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions'
(<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>),
and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis
and building networks for co-citation, coupling, scientific collaboration and co-word analysis.

Massimo Aria

bibliometrix

Comprehensive Science Mapping Analysis

Corrado Cuccurullo

lotka function

<dl><dt>M</dt>
<dd>is an object of the class '<code>bibliometrixDB</code>'.</dd></dl>

Arguments

It estimates Lotka's law coefficients for scientific productivity (<cite>Lotka A.J., 1926</cite>).

Lotka's law coefficient estimation — lotka

<dl>

<dt>M</dt>
<dd>is an object of the class '<code>bibliometrixDB</code>'.</dd>

</dl>

`Beta`		Beta coefficient
`C`		Constant coefficient
`R2`		Goodness of Fit
`fitted`		Fitted Values
`p.value`		Pvalue of two-sample Kolmogorov-Smirnov test between the empirical and the theoretical Lotka's Law distribution (with Beta=2)
`AuthorProd`		Authors' Productivity frequency table
`g`		Lotka's law plot
`g_shiny`		Lotka's law plot for biblioshiny

lotka: Lotka's law coefficient estimation

Description

Usage

Value

Arguments

Details

See Also

Examples