Open Access Heatmap 2020

Open Access Heatmap 2020

Just as 2016, 2015 and 2014 I produced an Open Access Heatmap 2020. It shows how many Open Access journals are published per country using data provided by the Directory of Open Access Journals (DOAJ).

The heatmap can be found here or embedded some lines below.

I calculated the number of Open Access Journals per country as listed by the DOAJ (this quite trivial data can be downloaded as a CSV file here, it was retrieved from the DOAJ yesterday). Using this CSV file with the online service CartoDB I produced the following heatmap visualizing the number of Open Access Journals per country. Please note that the map is generated by CartoDB and that CartoDB’s terms of use and terms of service apply. Click on a country to see how many Open Access Journals are published there.

The countries publishing most of the Open Access Journals

The countries publishing most of the Open Access Journals in the heatmap 2020 and listed in the DOAJ are:

CountryNumber of Open Access Journals 2020
Indonesia1,641
United Kingdom1,617
Brazil1,458
Spain768
United States763
Poland619
Iran, Islamic Republic of536
Turkey396
Italy395
Russian Federation384
Number of Open Accces Journals per Country 2020: The ten leading countries

In 2016 the ranking was dominated by Brazil (873), the United Kingdom (754) and the United States of America (675). The following graphic shows the shares of journals from the fifty countries producing the highest output of Open Access Journals.

Number of Open Access Journals per Country 2020
Number of Open Access Journals per Country 2020

Number of Open Accces Journals per Country 2020 and share of scientists among 1.000 employees in a country 2018

In addition, I obtained information on the share of scientists among 1.000 employees in a country from the OECD website to enrich the data of the Open Access Heatmap 2020. Unfortunately, this information was only available for a few countries and dates from 2018.

CountryNumber of Journals (2020)Number of researchers per 1.000 employees (2018)
United Kingdom16179.527
Spain7687.038
Poland6197.196
Italy3955.524
Russian Federation3845.608
Romania3301.990
Germany2649.663
Netherlands23310.255
France23010.883
Korea, Republic of12515.326
China1222.405
Czechia1137.627
Portugal1099.471
Norway10212.159
Lithuania806.404
Austria5511.366
Slovenia539.893
Slovakia466.751
Belgium4412.018
Sweden4314.777
Finland3714.517
Hungary366.813
Greece358.614
Japan349.842
Taiwan, Province of China3213.468
Denmark2915.652
Estonia277.744
Ireland1611.622
Latvia114.098
Luxembourg36.653
Number of Open Accces Journals per Country 2020 and share of scientists among 1.000 employees in a country 2018

The following graph puts the columns of this table into relation and shows the number of Open Access Journals 2020 divided by number of researchers per 1,000 people employed 2018. A high value indicates countries that have a high output of journals with a comparatively low number of scientists. Conversely, a low value indicates countries that have a low output of journals with a relatively high number of scientists.

Number of Open Access Journals 2020 divided by number of researchers per 1.000 people employed 2018
Number of Open Access Journals 2020 divided by number of researchers per 1.000 people employed 2018

Limitations

Please note that the Open Access Heatmap 2020 has only illustrative value and of course it is obvious that it needs to be contextualized with other information to allow profound conclusions. Anyone who wants to have more detailled or granualar information is invited to take the data available on the web and to build heatmaps that visualize for instance the number of Open Access articles published per country. Of course it may also be useful to take other indicators into account as consumer price index or expenditures for research.

Although I am very well aware of all these limitations of the Open Access Heatmap 2020 published here unfortunatley I do not have the time to collect the data and build these maps – it is up to the Open Access community to do so if it thinks better maps are needed. Please feel free to use the CSV file and mash it up with other data just as Christian Heise did with the data from 2015.

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