This map shows the geographic impact of research published in CALCOLO. 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 CALCOLO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CALCOLO more than expected).
This network shows the impact of papers published in CALCOLO. 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 CALCOLO.
About CALCOLO
The 1.2k papers published in CALCOLO in the last decades have received a total of 13.1k indexed citations . Papers published in CALCOLO usually cover Numerical Analysis (462 papers), Computational Mathematics (32 papers), Computational Theory and Mathematics (595 papers), Modeling and Simulation (97 papers) and Computational Mechanics (434 papers) specifically the topics of Matrix Theory and Algorithms (308 papers), Advanced Numerical Methods in Computational Mathematics (304 papers), Advanced Mathematical Modeling in Engineering (167 papers), Numerical methods for differential equations (157 papers), Differential Equations and Numerical Methods (144 papers), Numerical methods in engineering (142 papers), Iterative Methods for Nonlinear Equations (128 papers) and Advanced Optimization Algorithms Research (127 papers). The most active scholars publishing in CALCOLO are Franco Brezzi, M. Fortin, Douglas N. Arnold, Mostafa Eslami, Hadi Rezazadeh, Giorgio Levi, Maokang Luo, Dazhi Zhao, Malte Braack and Е. Е. Тыртышников.
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.