Computer Science

The Computer Science Journal is published by the AGH University of Science and Technology, Krakow Poland. The Editors of the Journal are members of the Faculty of Computer Science, Electronics and Telecommunications and the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering. The Editorial Board consists of many renowned computer science researchers from all over the world. The first issue of the Journal was published in 1999. Currently, the Journal is published quarterly, with the main goal to create a forum for exchanging research experience for scientists specialized in different fields of computer science. Original papers are sought concerning theoretical and applied computer science problems. Example areas of interest are: * theoretical aspects of computer science, * pattern recognition and processing, * evolutionary algorithms, * neural networks, * database systems, * knowledge engineering, * automatic reasoning, * computer networks management, * distributed and grid systems, * multi-agent systems, * multimedia systems and computer graphics, * natural language processing, * soft-computing, * embedded systems, * adaptive algorithms, * simulation.

Join the conversation about this journal

Quartiles

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

Category	Year	Quartile
Artificial Intelligence	2018	Q4
Artificial Intelligence	2019	Q4
Computational Theory and Mathematics	2018	Q4
Computational Theory and Mathematics	2019	Q4
Computer Graphics and Computer-Aided Design	2018	Q4
Computer Graphics and Computer-Aided Design	2019	Q4
Computer Networks and Communications	2018	Q4
Computer Networks and Communications	2019	Q4
Computer Science (miscellaneous)	2018	Q4
Computer Science (miscellaneous)	2019	Q4
Computer Vision and Pattern Recognition	2018	Q4
Computer Vision and Pattern Recognition	2019	Q4
Modeling and Simulation	2018	Q4
Modeling and Simulation	2019	Q4

SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2018	0.106
2019	0.125

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2017	0.000
Cites / Doc. (4 years)	2018	0.417
Cites / Doc. (4 years)	2019	0.396
Cites / Doc. (3 years)	2017	0.000
Cites / Doc. (3 years)	2018	0.417
Cites / Doc. (3 years)	2019	0.396
Cites / Doc. (2 years)	2017	0.000
Cites / Doc. (2 years)	2018	0.417
Cites / Doc. (2 years)	2019	0.396

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2017	0
Self Cites	2018	0
Self Cites	2019	0
Total Cites	2017	0
Total Cites	2018	10
Total Cites	2019	19

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2017	0
External Cites per document	2018	0.417
External Cites per document	2019	0.396
Cites per document	2017	0.000
Cites per document	2018	0.417
Cites per document	2019	0.396

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2017	0.00
2018	25.00
2019	12.50

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.