Alexandros Stamatakis is "highly cited" for the 5th time in a row

The publications on evolutionary biology of the professor of computer science, who conducts research at KIT and HITS, were again among the most frequently cited publications this year.

It is very important for researchers of all disciplines to mention their own work in other publications. The citation frequency is an important indication of the influence and reputation within the scientific community. Professor Alexandros Stamatakis, Professor of Computer Science for High Performance Computing in the Life Sciences at KIT and head of the CME research group at the Heidelberg Institute for Theoretical Studies (HITS) is for the fifth time in a row among the "Highly Cited Researchers", a ranking led by the U.S. company Clarivate Analytics. It lists the 6,000 scientists whose publications were cited most frequently.

The bioinformatician, who has been working at the Karlsruhe Institute of Technology since 2012, develops software for the analysis of large amounts of biological data. His research focuses on the development of scalable methods and software for the analysis of molecular data. Stamatakis' publications have thus had a lasting effect on evolutionary biology over the last few years. His research focuses on the development of software for calculating evolutionary family trees, the evaluation and use of new parallel computer architectures, the evolution of cancer cells and the statistical classification of intestinal bacteria. Within the framework of two international research projects, he decoded the family tree of birds as well as the family tree of insects. Finally, in summer 2020, a team led by Prof. Stamatakis drew attention to the problems associated with the pedigree analysis of SARS-CoV-2.

In addition to him, another seven researchers from the Karlsruhe Institute of Technology are represented in the currently published list of "Highly Cited Researchers". The methodology that determines the "Who is Who" of the world's influential researchers is based on bibliometric data and analyses carried out by the "Web of Science" group of the Institute for Scientific Information. A publication is only considered "Highly Cited" if it is among the top 1% of total citations in its subject area and year of publication.