topic_find

Retrieves all topics of a specified journal with URLs. Filters results by issue status (open, closed, or all) and optional year range.

Provides comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, 'MDPIexploreR' offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.

Pablo Gómez Barreiro

MDPIexploreR

Web Scraping and Bibliometric Analysis of MDPI Journals

topic_find function

<dl><dt>journal</dt>
<dd>MDPI journal code</dd>
<dt>type</dt>
<dd>"closed", "open" or "all" topics. "closed" by default.</dd>
<dt>years</dt>
<dd>A vector containing topics closure dates to limit the search to certain years</dd>
<dt>verbose</dt>
<dd>Logical. If <code>TRUE</code>, informative messages will be printed during the function execution. Defaults to <code>TRUE</code>.</dd></dl>

Arguments

Retrieves all topics of a specified journal with URLs. Filters results by issue status (open, closed, or all) and optional year range. — topic_find

<dl>

<dt>journal</dt>
<dd>MDPI journal code</dd>


<dt>type</dt>
<dd>"closed", "open" or "all" topics. "closed" by default.</dd>


<dt>years</dt>
<dd>A vector containing topics closure dates to limit the search to certain years</dd>


<dt>verbose</dt>
<dd>Logical. If <code>TRUE</code>, informative messages will be printed during the function execution. Defaults to <code>TRUE</code>.</dd>

</dl>

topic_find: Retrieves all topics of a specified journal with URLs. Filters results by issue status (open, closed, or all) and optional year range.

Description

Usage

Value

Arguments

Examples