The Guide2Research list of the Greek Computer Scientists with the greatest impact of research projects (based on the h-index) up to May 16th, 2020, has UniPi Professor Yiannis Theodoridis in the 16th place.
This list rates the top of Computer Scientists working for Greek institutions (Universities and Research Centers), a total of 37 scientists, all with a h-index of equal to or greater than 40 which is the threshold.
The internationally recognized h index aims to measure the impact of a scientist's academic publications. This ranking is based on posts cataloged on Google Scholar and DBLP portals. The Google Scholar portal covers all areas of science and is estimated to include more than 400 million papers. DBLP is the computer science portal specializing in the field of computer science and includes information on more than 5 million publications by more than 2.5 million authors. It is a popular open source service for the entire computer science community providing free access to high quality bibliographic metadata and links to online publications.
Prof. Yiannis Theodoridis is a faculty member with the Department of Informatics at the School of Information and Communications Technologies at the University of Piraeus, Dean of the School (term Dec. 2017 - Aug. 2021) and Director of the Data Science Lab. (www.datastories.org).
His research interests include Data Science (big data management & analytics) for mobility information while teaching databases, data analytics and geographic information systems (GIS) at undergraduate and graduate level. He has co-authored three monographs and more than 100 refereed articles in scientific journals and conferences with over 10,000 citations according to Google Scholar.
Since joining the faculty at UniPi in 2002, he and his research team have participated in a number of European and National ICT research projects as a project coordinator or team leader.
The Data Science Laboratory is active in research in a number of fields of Data Science, such as big data management (Big Data), statistics and data analytics, machine learning and knowledge extraction from databases. Since its establishment (in 2016) the laboratory has accumulated significant experience in European and national research projects, mainly in the field of management and analytics of large mobility data, aiming to produce solutions to real world problems related to efficient and scalable management of Big Data. The laboratory collaborates with 9 faculty members from 4 different Departments and employs a sufficient number of experienced and young researchers.
More information about the Data Science Lab is available at http://www.datastories.org.