RUDN physicist awarded IOP Publishing trusted reviewer status
Ekaterina has 5 years of hard work: writing high-quality and well-timed reviews of articles in highly ranked scientific journals of IOP Publishing. The result is getting into the top 15% of reviewers in the field of physical sciences without undergoing additional certification. Trusted IOP reviewer status confirms that the reviewer has demonstrated an exceptional level of competence and the ability to critique the scientific literature at a high level.
Without the peer review procedure, it is impossible to verify the accuracy and reliability of the text of a scientific article. The publication of papers that have not passed it often causes specialists to distrust the quality of the research conducted. A reviewer is a person who evaluates a scientific paper according to the established criteria of a scientific journal or publisher. A well-written review takes a lot of effort and time; it is a separate genre of scientific work that is especially valued in the research field.
What makes a good review?
- Very thoroughly and detailed, covering all sections of the work being reviewed.
- Relevant to the topic of the peer-reviewed paper and the broader scientific field.
- Includes a comparative analysis of existing literature.
- Submitted in a timely manner.
- Clearly substantiated and it meets journal editorial standards.
To read more about the criteria for awarding IOP Publishing reviewer status.
General information: IOP Publishing is the publishing company of the Institute of Physics, the result of the merger of the The Physical Society of London (since 1873) and the Institute of Physics (since 1920). IOP Publishing provides publications through which scientific research is distributed worldwide. Headquarters location: Bristol, England.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.
RUDN summarized the results of the scientific competition "Project Start: work of the science club ". Students of the Faculty of Physics, Mathematics and Natural Sciences have created a project for a managed queuing system using a neural network to redistribute resources between 5G segments. How to increase flexibility, make the network fast and inexpensive and reach more users — tell Gebrial Ibram Esam Zekri ("Fundamental Computer Science and Information Technology", Master's degree, II course) and Ksenia Leontieva ("Applied Mathematics and Computer Science", Master's degree, I course).
What is your first association with the word “laboratory”? Flasks and beakers? Microscopes and centrifuges? Yes, many of us would answer the same way.
The National Demographic Report, 2023 Demographic Well-Being of Russian Regions (hereinafter - the National Demographic Report) was prepared by the scientific team of the Institute of Demographic Studies of the Federal Research Center of the Russian Academy of Sciences, the Vologda Scientific Center of the Russian Academy of Sciences, Peoples' Friendship University of Russia, the Center for Family and Demography of the Academy of Sciences of the Republic of Tatarstan, as well as with the participation of leading scientists from the Republic of Bashkortostan, Stavropol Krai, Volgograd, Ivanovo, Kaliningrad, Nizhny Novgorod, Sverdlovsk Oblasts and Khanty-Mansi Autonomous Okrug–Yugra.