Replace Journal of Applied Mathematics and Computing with:
Journal of Applied Mathematics and ComputingChina
AIMS MathematicsChina
Acta Applicandae MathematicaeChina
Abstract and Applied AnalysisChina
Journal of Inequalities and ApplicationsChina
Applied Mathematics & OptimizationUnited States
FilomatChina
International Journal of Computer MathematicsChina
Rocky Mountain Journal of MathematicsUnited States
ComputingGermany
Journal of Applied Mathematics and ComputingChinaView profile →
Citations per field, relative to Computational and Applied Mathematics
Computational and Applied Mathematics · 1×
×1.17.2kMS
×1.16.4kNA
×1.15.3kCTM
×0.41.6kMSOR
×1.64.9kAM
Citations per year, relative to Computational and Applied Mathematics
Computational and Applied Mathematics · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Computational and Applied Mathematics
Since
Specialization
Citations
This map shows the geographic impact of research published in Computational and Applied 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 Computational and Applied Mathematics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational and Applied Mathematics more than expected).
Fields of papers published in Computational and Applied Mathematics
This network shows the impact of papers published in Computational and Applied 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 Computational and Applied 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.