Asymptotic Analysis

1.5k papers and 13.0k indexed citations

About

The 1.5k papers published in Asymptotic Analysis in the last decades have received a total of 13.0k indexed citations. Papers published in Asymptotic Analysis usually cover Computational Theory and Mathematics (852 papers), Applied Mathematics (606 papers) and Mathematical Physics (592 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (807 papers), Stability and Controllability of Differential Equations (286 papers) and Nonlinear Partial Differential Equations (261 papers). The most active scholars publishing in Asymptotic Analysis are Panagiotis E. Souganidis, Guy Barles, F. Poupaud, Franck Boyer, Enrique Zuazua, J. L. Lions, Samuel Amstutz, Bernadette Miara, Vittorino Pata and Peter A. Markowich.

In The Last Decade

Asymptotic Analysis

1.3k papers receiving 11.4k citations

Fields of papers published in Asymptotic Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Asymptotic Analysis. 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 Asymptotic Analysis.

Countries where authors publish in Asymptotic Analysis

Since Specialization
Citations

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

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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