Abstract
Mathematical Methods of Operations Research is a scholarly journal that publishes high-quality contributions related to mathematics, statistics, and computer science, focusing specifically on operations research. It was established in 1956 and reached Volume 100 in 2024. To mark this significant milestone, this study aims to identify and elucidate the main patterns in the journal’s publication and citation structure, highly cited documents, prolific authors, universities and countries, and popular keywords and topics. To achieve this, the paper collects all publications from 1956 to 2023 from the Scopus database, and Web of Science (WoS) Core Collection from 1997 to 2023. Their bibliographic information is analysed using various bibliometric indicators. Additionally, the study creates a visual representation of the bibliographic data using the Visualization of Similarities (VOS) viewer software. This approach encompasses different bibliometric techniques, such as bibliographic coupling, co-citation, and co-occurrence of keywords. The findings reveal a significant growth in the journal over the past few years and its international impact with contributions from various parts of the world. The most productive researchers are based in Germany and Netherlands.
