Countries citing papers authored by Dmitry Kovalev
Since
Specialization
Citations
This map shows the geographic impact of Dmitry Kovalev's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dmitry Kovalev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Kovalev more than expected).
This network shows the impact of papers produced by Dmitry Kovalev. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dmitry Kovalev. The network helps show where Dmitry Kovalev may publish in the future.
Co-authorship network of co-authors of Dmitry Kovalev
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Kovalev.
A scholar is included among the top collaborators of Dmitry Kovalev based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Dmitry Kovalev. Dmitry Kovalev is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kovalev, Dmitry, et al.. (2020). From Local SGD to Local Fixed Point Methods for Federated Learning. International Conference on Machine Learning. 1. 6692–6701.24 indexed citations
9.
Hanzely, Filip, Dmitry Kovalev, & Peter Richtárik. (2020). Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1. 4039–4048.1 indexed citations
10.
Mishchenko, Konstantin, et al.. (2020). Revisiting Stochastic Extragradient. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 4573–4582.3 indexed citations
11.
Li, Zhize, et al.. (2020). Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University).8 indexed citations
Kovalev, Dmitry. (2017). Validation of Electromagnetic Wind Radar Simulator Based on LES with Scanning X-band Radar Measurements and Meteorological Data. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).1 indexed citations
19.
Kovalev, Dmitry, et al.. (2016). Formation of Various Competencies in the Process of Training the Future Music Teachers at the Present Stage.. The International Journal of Environmental and Science Education. 11(11). 4175–4183.2 indexed citations
20.
Kovalev, Dmitry, Danielle Vanhoenacker‐Janvier, Richard Wilson, & Frédéric Barbaresco. (2016). Electromagnetic wind radar simulator validation using meteorological data and a zenith X-band radar. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.