Mathematical and Computational Applications

10.4k citations
1.3k papers · · active since 1950

Impact in

Papers in

    • Fractional Differential Equations Solutions 123
    • Differential Equations and Numerical Methods 59
    • Iterative Methods for Nonlinear Equations 57
    • Numerical methods for differential equations 47

Mathematical and Computational Applications

1.1k papers receiving 9.7k citations

Peers

Mathematical and Computational Applications
Comparison fields: 5 of 203
  • Modeling and Simulation 1.5k
  • Numerical Analysis 945
  • Statistical and Nonlinear Physics 1.1k
  • Management Science and Operations Research 939
  • Control and Systems Engineering 1.6k
Replace International Journal of Applied Mathematics and Computer Science with:
International Journal of Applied Mathematics and Computer Science Poland
Science China Mathematics China
Journal of Computational Science China
Science in China Series A Mathematics China
Journal of Systems Science and Complexity China
Computing in Science & Engineering United States
Advances in Complex Systems China
Japan Journal of Industrial and Applied Mathematics Japan
Open Mathematics China
Optimal Control Applications and Methods China
Mathematical and Computational Applications relative to International Journal of Applied Mathematics and Computer Science Poland International Journal of Applied Mathematics and Computer Science's profile →
Citations per field
00.5×10×13×
International Journal of Applied Mathematics and Computer Science · 1×
Citations per year

Countries where authors publish in Mathematical and Computational Applications

Since Specialization
Citations

This map shows the geographic impact of research published in Mathematical and Computational Applications. 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 Mathematical and Computational Applications with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathematical and Computational Applications more than expected).

Fields of papers published in Mathematical and Computational Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Mathematical and Computational Applications. 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 Mathematical and Computational Applications.

About Mathematical and Computational Applications

The 1.3k papers published in Mathematical and Computational Applications in the last decades have received a total of 10.4k indexed citations . Papers published in Mathematical and Computational Applications usually cover Modeling and Simulation (149 papers), Numerical Analysis (149 papers), Statistical and Nonlinear Physics (131 papers), Computational Theory and Mathematics (162 papers) and Management Science and Operations Research (99 papers) specifically the topics of Fractional Differential Equations Solutions (123 papers), Composite Structure Analysis and Optimization (60 papers), Differential Equations and Numerical Methods (59 papers), Iterative Methods for Nonlinear Equations (57 papers), Nonlinear Waves and Solitons (54 papers), Probabilistic and Robust Engineering Design (50 papers), Numerical methods for differential equations (47 papers) and Nanofluid Flow and Heat Transfer (43 papers). The most active scholars publishing in Mathematical and Computational Applications are Özgür Yeniay, Murat Kayri, Ji‐Huan He, Zheng-Biao Li, Mehmet Pakdemi̇rli̇, Serdar Korukoğlu, Ömer Cívalek, Shahaboddin Shamshirband, Serkan Ballı and S. Abbasbandy.

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.

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