Replace Science in China Series A Mathematics with:
Science in China Series A MathematicsChina
Science China MathematicsChina
Acta Mathematica ScientiaChina
Sbornik MathematicsRussia
Proceedings of the Edinburgh Mathematical SocietyUnited Kingdom
Mediterranean Journal of MathematicsChina
MathematikaUnited Kingdom
Differential EquationsRussia
Rendiconti del Circolo Matematico di Palermo Series 2Italy
Open MathematicsChina
Science in China Series A MathematicsChinaView profile →
Citations per field, relative to Doklady Mathematics
Doklady Mathematics · 1×
×1.04.2kAM
×0.93.3kMP
×0.82.6kCTM
×1.52.8kGT
×0.91.5kNA
Citations per year, relative to Doklady Mathematics
Doklady Mathematics · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Doklady Mathematics
Since
Specialization
Citations
This map shows the geographic impact of research published in Doklady Mathematics. 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 papers published in Doklady Mathematics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doklady Mathematics more than expected).
This network shows the impact of papers published in Doklady Mathematics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Doklady Mathematics.
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.