Mission: The Institute of Information Theory and Automation (ÚTIA) of the Academy of Sciences of the Czech Republic (ASCR) is a research institute focused on information theory, automation, and related fields. Its mission is to conduct cutting-edge research in these areas and to promote scientific collaboration and knowledge exchange both nationally and internationally. The research at ÚTIA covers a wide range of topics, including artificial intelligence, control and system theory, mathematical methods in computer science, and more. The institute is committed to advancing the frontiers of knowledge in these fields and to contributing to their practical applications. Information extracted by ChatGPT.
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The following data gives a quick reading on the scientific performance in the last years. The research ranking refers to the volume, impact and quality of the institution's research output. The innovation ranking is calculated on the number of patent applications of the institution and the citations that its research output receives from patents. Finally, the societal ranking is based on the number of pages of the institution's website and the number of backlinks and mentions from social networks.
The result of the evaluation of the institution can be compared to obtain a view of the country, the region to which it belongs and the institutions of the world, placing it in their respective positions.
We have divided the scientific output of the institution into 19 large areas of knowledge and the following table shows only the ranks in different territorial domains achieved by the institution in each of the areas. For an institution to have a presence in an area, it is necessary that it exceed in the last year a minimum output threshold equivalent to twice the percentage that this area represents in the world. If you need scientific indicators on these areas visit Scopus and/or SciVal.
These are the journals used by the institution's researchers to publish their work in the last year. The size of each circle represents the value of the SJR of the publication, and its spatial position represents its subject matter.
This visualizatión allows you to identify the knowledge areas where the institution has published, recognize the prestige of the scientific journals in which the institution knowledge has been published, and identify predominant scientific communities.