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"I'd like to publish in Q1, but there's no Q1 to be found": Study of journal quartile distributions across subject categories and topics
Journal of Informetrics. 2024. Vol. 18. No. 1. Article 101494.
Kosyakov D., Pislyakov V.
The choice to focus on a journal's impact factor, or its quartile, in authoritative rankings, when deciding where to publish research results can be driven by various reasons. These may include personal prestige, enhancing the appeal of a CV, the desire to increase publication-related rewards, meeting the conditions of scientific funds, or fulfilling qualification requirements. While these considerations deviate from the “pure science” perspective, the fact is that they are widely adopted. Our research demonstrates that the conventional division into journal quartiles may privilege certain disciplinary categories while disadvantaging others. Disciplinary categories in Journal Citation Reports (JCR) and similar rankings are imbalanced in terms of the number of articles across different journal quartiles. This is attributable to three factors: the distribution of journals across quartiles, the varying volume of journals, and the selection of the highest quartile when journals are categorized under multiple disciplines. Narrower research areas, such as Topic Clusters from SciVal, may completely lack Q1 journals dedicated to them, or even any such journals at all. This finding might also interest publishers when selecting topics for launching new titles. The apparent inequality between disciplines unveiled in our study offers a new perspective to argue against the use of quartile metrics, at least in a straightforward manner, when evaluating performance and shaping science policies.
Караваева Е. А., Кулигин Л. А., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 67–94
В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
Added: May 24, 2026
Tyukin I., Tyukina T., van Helden D. P. et al., Information Sciences 2024 Vol. 678 Article 120856
AI errors pose a significant challenge, hindering real-world applications. This work introduces a novel approach to cope with AI errors using weakly supervised error correctors that guarantee a specific level of error reduction. Our correctors have low computational cost and can be used to decide whether to abstain from making an unsafe classification. We provide ...
Added: May 23, 2026
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Kibkalo Vladislav, Chertopolokhov V., Mukhamedov A. et al., IEEE Access 2026 Vol. 14 P. 14369–14392
This study presents on-the-fly identification and multi-step prediction of nonlinear systems with delayed inputs using a dynamic neural network combined with a smooth projection onto ellipsoids. The projection enforces parameter constraints that guarantee stability, while a Lyapunov–Krasovskii analysis yields computable ultimate error bounds. Riccati-type matrix inequalities are derived, providing an efficient vectorization–projection–devectorization implementation suitable for ...
Added: May 22, 2026
Loshkareva M. E., Matveeva N., Вестник Томского государственного университета. История 2026 № 100 С. 112–118
This research is an endeavor to apply social network analysis (SNA) to the study of a medieval narrative source. The authors suppose that the use of network analysis may offer new possibilities in the study of the history of regions characterized by some political fragmentation. Authors tried to construct networks of historical interactions from 1193 ...
Added: May 22, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Rabat: Association for Computational Linguistics, 2026.
Added: May 19, 2026
Bezzubov S., Malikov D., Krasnov L. et al., Scientific data 2026 Vol. 13 Article 727
Solubility is a crucial property of organic compounds, impacting their potential applications in synthetic chemistry, materials science and drug design. Moreover, in technological processes mixtures of solvents are often utilized, making the solubility assessment more complicated. Predicting solubility values in mixtures of solvents from a molecular structure can help to address this issue, although a ...
Added: May 19, 2026
Pikalov V., Meshcheryakov V., Kondratev S. et al., Technologies 2026 Vol. 14 No. 1 P. 1–27
This paper presents Aerokinesis, an IoT-based software–hardware system for intuitive gesture-driven control of quadcopter unmanned aerial vehicles (UAVs), developed within the Robot Operating System 2 (ROS2) framework. The proposed system addresses the challenge of providing an accessible human–drone interaction interface for operators in scenarios where traditional remote controllers are impractical or unavailable. The architecture comprises ...
Added: May 19, 2026
Kondratev S., Yulia Dyrchenkova, Georgiy Nikitin et al., Technologies 2026 Vol. 14 No. 1 Article 69
This paper presents Aerokinesis, an IoT-based software–hardware system for intuitive gesture-driven control of quadcopter unmanned aerial vehicles (UAVs), developed within the Robot Operating System 2 (ROS2) framework. The proposed system addresses the challenge of providing an accessible human–drone interaction interface for operators in scenarios where traditional remote controllers are impractical or unavailable. The architecture comprises ...
Added: May 19, 2026
Springer, 2025.
This book constitutes the refereed proceedings of the 19th International Conference on Parallel Computational Technologies, PCT 2025, held in Moscow, Russia, during April 8–10, 2025.
The 31 full papers included in this volume were carefully reviewed and selected from 122 submissions. These papers were organized under the following topical sections: High Performance Architectures, Tools and Technologies; ...
Added: May 18, 2026
Ronglin Z., Wei L., Jiahong C. et al., Journal of Signal Processing Systems 2026 Vol. 98 P. 1–15
To address the need for lightweight and low-latency protection in massive resource-constrained 5G Internet of Things (IoT) systems, this paper proposes Key-Controlled Modulation Hopping and Constellation Rotation (KMHCR). KMHCR is designed as a physical-layer confidentiality-enhancement mechanism that avoids bit-wise full-payload encryption in the protection pipeline. It uses a shared key derived from channel-reciprocity secret key ...
Added: May 16, 2026
Suvorov N. M., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 3(2) P. 49–66
Data Petri Nets (DPNs) extend classical Petri nets to model processes where data directly influences control-flow, enabling a comprehensive view of system behavior and possibility to detect failure points that could otherwise be hidden. Soundness is a correctness criterion that captures such failure points as deadlocks and livelocks as well as model boundedness and absence ...
Added: May 16, 2026
Xiong N., Long W., He D. et al., Algorithms 2026 Vol. 19 No. 5 Article 386
In the era of data-driven education, educational social networks generate large volumes of high-dimensional and complex-structured data through learner interactions, collaborative activities, and resource-sharing behaviors, posing significant challenges to traditional unsupervised learning methods. Such data often exhibit non-convex distributions, heterogeneity, and noise sensitivity, making conventional clustering approaches insufficient for capturing their intrinsic structural relationships. To ...
Added: May 13, 2026
Назарова А. Е., Долинко Н. В., Манарбекова Ж. К., Endless light in science 2024 № январь С. 395–401
В статье представлен аналитический обзор взаимосвязи эмоционального интеллекта, амбивалентных чувств и переживания счастья. На материале отечественных и зарубежных исследований обсуждается понимание счастья как сложной когнитивной конструкции, опосредующей восприятие и переживание позитивных эмоций. Анализируются соотношение настроения, страсти и аффекта в контексте эмоциональной амбивалентности, а также возможные когнитивные искажения, влияющие на интерпретацию переживаемого счастья. ...
Added: May 13, 2026
Velichkov B., Nikolova-Koleva I., Slavcheva M., Shumen: INCOMA Ltd, 2025.
The RANLP 2025 Student Research Workshop (RANLPStud’2025) is a special track of the established international conference Recent Advances in Natural Language Processing (RANLP’2025).
The RANLPStud is being organised for the 9th time and this year is running in parallel with the other tracks of the main RANLP 2025 conference. The target of RANLPStud’25 is to be a ...
Added: May 12, 2026
Stepanyants V., Долгов И. М., Хорошилов Г. С. et al., Труды Института системного программирования РАН 2026 Т. 38 № 3 С. 95–110
Highly automated and connected vehicles are gradually entering the market. Currently, solutions are being proposed that allow these technologies to be used for cooperative driving automation, which can significantly improve traffic safety. Such technologies and their software should be tested to ensure safety before being implemented in real systems. Verification and validation of vehicular control ...
Added: May 12, 2026
Tikhonov R., Efendiev M. T., Fedotenkov A. A., 2026 International Russian Smart Industry Conference (SmartIndustryCon) 2026 P. 542–547
High-fidelity simulation environments like CARLA and ROS are essential for connected and automated vehicle research. They allow researchers to verify and validate new software and technology without the time, financial, and safety overheads of real-world testing. However, their operation requires considerable expertise for creating platform-specific scenario configuration files, which complicates the research workflow. This paper ...
Added: May 11, 2026
Елизаров А. М., Pislyakov V., Ученые записки Казанского университета. Серия: Физико-математические науки 2024 Т. 166 № 4 С. 485–498
Дано определение журнального импакт-фактора в классической форме и исследованы различные аспекты его применения в области математического моделирования научной деятельности. Изучены свойства импакт-фактора, связанные с особенностями дисциплинарной структуры науки, ограниченным набором источников в существующих базах данных, статистической достоверностью, чувствительностью к типам публикуемых документов, влиянием выбросов. Кроме того, обсуждается вопрос об искажениях, которые может внести самоцитирование журнала. ...
Added: January 26, 2025
Pislyakov V., Journal of Informetrics 2022 Vol. 16 No. 4 Article 101322
One of the most useful and correct methodological approaches in bibliometrics is ranking. In the context of highly skewed bibliometric distributions and severe distortions caused by outliers, it is often the preferable way of analysis. Ranking methodology strictly implies that “oranges should be compared with oranges, apples with apples”. We should make a “like with ...
Added: September 6, 2022
Pislyakov V., Научные и технические библиотеки 2022 № 3 С. 85–104
This review summarizes papers which analyze the impact of self-citation on research evaluation. We introduce a generalized definition of self-citation and its variants: author, institutional, country, journal, discipline, and publisher self- citation. Formulae of the basic self-citation measures are given, namely self-citing and self-cited rates. World literature on author, institutional, country, and journal self-citation is ...
Added: May 20, 2022
Pislyakov V., Научные и технические библиотеки 2022 № 2 С. 49–70
The author reviews publications on the problem of self-citation and resulting mispresentations at the stage bibliometric analysis. He introduces the definition of self-citation and its special cases, i. e. author’s, institutional, publisher’s and disciplinary. The formulas for general self-citation metrics, i. e. self-citation and self-citedness coefficients, are provided. The global publications on author’s, institutional, national ...
Added: March 22, 2022
Москалева О. В., Pislyakov V., В кн.: Научное издание международного уровня-2017: мировая практика подготовки и продвижения публикаций. Материалы 6-й международной научно-практической конференции.: Екатеринбург: Издательство Уральского университета, 2017..
We analyze the distribution of Russian journals in the Emerging Sources Citation Index (ESCI, Web of Science database) by subject areas, language of publications and type of access to full texts, as well as the level of internationalization of research results published in them. We calculate the citedness of Russian journals both in main journal ...
Added: October 28, 2021