Replace Zeitschrift für angewandte Mathematik und Physik with:
Zeitschrift für angewandte Mathematik und PhysikUnited States
Mathematics and Computers in SimulationChina
Mathematical and Computer ModellingUnited States
Journal of Applied Mathematics and MechanicsRussia
SIAM Journal on Applied MathematicsUnited States
Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesUnited Kingdom
IMA Journal of Applied MathematicsUnited Kingdom
Applied Numerical MathematicsChina
SIAM ReviewUnited States
Inverse ProblemsUnited States
Zeitschrift für angewandte Mathematik und PhysikUnited StatesView profile →
Citations per field, relative to Quarterly of Applied Mathematics
Quarterly of Applied Mathematics · 1×
×1.017.6kMM
×1.319.7kCM
×1.716.8kBE
×1.312.2kCTM
×1.411.5kME
Citations per year, relative to Quarterly of Applied Mathematics
Quarterly of Applied Mathematics · 1×
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
Countries where authors publish in Quarterly of Applied Mathematics
Since
Specialization
Citations
This map shows the geographic impact of research published in Quarterly of 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 Quarterly of 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 Quarterly of Applied Mathematics more than expected).
Fields of papers published in Quarterly of Applied Mathematics
This network shows the impact of papers published in Quarterly of 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 Quarterly of 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.