Scientometric Indexes of Scientific Journals

Scientometric data from 62,856 journals consolidated from Scopus, SJC, Diamond Journals, ISSN database, Google Scholar and Brazilian QUALIS (2022). Its purpose is to support researchers who want to analyze and compare various scientometric attributes and also the economic model used by scientific journals around the world.

CSV UTF-8 File, separated by semicolon.

Metadata:

ISSN-L: Journal Identified used by ISSN

ISSN: Secondary Journal identifier (used for Print or other medium versions);

Name is in the journal origin language;

"ASJC" is the Knowledge Area Code based on All Science Journal Category used by Citescore/Scopus;

"Citescore" is based on 2022 Scopus;

"Google H5" are based on 2020 database;

"Qualis" is the Brazilian score calculated for the 2017-2021 quadrienal;

Country Name (País) is in English merged from all databases;

"Modelo" can have 3 values: D-Diamond Journals (No money involved), T-Closed (You have to pay to access), A-APC (You have to pay to publish);

This is a working in progress and we intend to add more atributes and fill some gaps on knowledge areas field (ASJC) and other empty attributes.