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Enrique Herrera Viedma, professor at the Department of Computer Science and Artificial Intelligence of the University of Granada made open lectures for RUDN University students

Enrique Herrera Viedma, professor at the Department of Computer Science and Artificial Intelligence of the University of Granada made open lectures for RUDN University students

On the 20th of November at the Department of Applied Informatics and Probability Theory, the professor at the Department of Computer Science and Artificial Intelligence of the University of Granada (Spain) Enrique Herrera Viedma made a lecture course for RUDN University students.

Enrique Herrera Viedma graduated from the University of Granada in 1996. He is considered one of the most influential scientific researchers in the world. His current research areas include such relevant areas of knowledge as intelligent decision-making, information search and aggregation, digital libraries, network quality assessment, and social network analysis. Professor Enrique Herrera Viedma is deputy editor of several major international journals indexed in Journal Citation Reports such as IEEE Transactions on Systems, MAN, and Cybernetics: Knowledge Based Systems, Soft Computing, Journal of Intelligent and Fuzzy Systems, and many others. Since 2014, he is a member of the IEEE SMC Society. The professor has repeatedly presented open lectures for undergraduate, graduate and postgraduate students of the Department of Applied Informatics and Probability Theory. This time he presented a course «Bibliometric Tools for Discovering Information in Database». In bibliometrics, there are two main procedures for studying the field of research: efficiency analysis and scientific mapping. Efficiency analysis is aimed at assessing groups of scientific participants (identifying countries, universities, departments, researchers) and the impact of their activities based on bibliographic data. Scientific mapping is aimed at analyzing the structural and dynamic aspects of scientific research, dividing the field of research, quantifying and visualizing the discovered subfields by analyzing keywords or comparing documents. The report presents two bibliometric tools that were developed in the SECABA research laboratory: H-Classics, used to conduct performance analysis in highly cited articles, and SciMAT, which is used to develop scientific maps focused on bibliography performance indicators.

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