María Laura Schuverdt

20 papers and 906 indexed citations i.

About

María Laura Schuverdt is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, María Laura Schuverdt has authored 20 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Numerical Analysis, 17 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. Recurrent topics in María Laura Schuverdt’s work include Advanced Optimization Algorithms Research (18 papers), Optimization and Variational Analysis (13 papers) and Iterative Methods for Nonlinear Equations (6 papers). María Laura Schuverdt is often cited by papers focused on Advanced Optimization Algorithms Research (18 papers), Optimization and Variational Analysis (13 papers) and Iterative Methods for Nonlinear Equations (6 papers). María Laura Schuverdt collaborates with scholars based in Argentina, Brazil and Moldova. María Laura Schuverdt's co-authors include Roberto Andreani, J. M. Martı́nez, E. G. Birgin, Gabriel Haeser and Paulo J. S. Silva and has published in prestigious journals such as Mathematical Programming, Applied Mathematics and Computation and SIAM Journal on Optimization.

In The Last Decade

Co-authorship network of co-authors of María Laura Schuverdt i

Fields of papers citing papers by María Laura Schuverdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Laura Schuverdt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by María Laura Schuverdt. The network helps show where María Laura Schuverdt may publish in the future.

Countries citing papers authored by María Laura Schuverdt

Since Specialization
Citations

This map shows the geographic impact of María Laura Schuverdt's research. 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 María Laura Schuverdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Laura Schuverdt 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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