题目：Bibliometric Tools for Discovering Information in Science
Dr. Enrique Herrera-Viedma is Professor in Computer Science and Artificial Intelligence in University of
Granada and currently the new Vice-President for Research and Knowledge Transfer. His research interests include group decision making, consensus models, linguistic modeling, information retrieval, bibliometric, recommender systems, and social media. He has published more than 250 papers in ISI journals and successfully coordinated over 20 research projects. Dr. Enrique Herrera-Viedma is Vice-President of the IEEE SMC Society and an Associate Editor of international journals such as the IEEE Transactions on Systems, Man, and Cybernetics: Systems, etc. He is identified by Clarivate Analytics as highly cited researcher in Computer Science and Engineering from 2014 to 2018.
In bibliometrics, there are two main procedures to explore a research field: performance analysis and science mapping. Performance analysis aims at evaluating groups of scientific actors (countries, universities, departments, researchers) and the impact of their activity on the basis of bibliographic data. Science mapping aims at displaying the structural and dynamic aspects of scientific research, delimiting a research field, and quantifying and visualizing the detected subfields by means of co-word analysis or documents co-citation analysis. In this talk we present two bibliometric tools that we have developed in our research laboratory SECABA: H-Classics to develop performance analysis by based on Highly Cited Papers and SciMAT to develop science mapping guided by performance bibliometric indicators.