Analysis and Applications

545 papers and 5.4k indexed citations

About

The 545 papers published in Analysis and Applications in the last decades have received a total of 5.4k indexed citations. Papers published in Analysis and Applications usually cover Applied Mathematics (304 papers), Mathematical Physics (155 papers) and Computational Theory and Mathematics (134 papers) specifically the topics of Advanced Mathematical Modeling in Engineering (96 papers), Nonlinear Partial Differential Equations (68 papers) and Mathematical functions and polynomials (65 papers). The most active scholars publishing in Analysis and Applications are Ding‐Xuan Zhou, Alberto Bressan, Adrian Constantin, Steve Smale, Christoph Schwab, Tomaso Poggio, H. N. Mhaskar, Georges Griso, Albert Cohen and Ronald DeVore.

In The Last Decade

Analysis and Applications

475 papers receiving 5.0k citations

Fields of papers published in Analysis and Applications

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Analysis and Applications

Since Specialization
Citations

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