Daniela Lera

20 papers and 348 indexed citations i.

About

Daniela Lera is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Daniela Lera has authored 20 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Numerical Analysis, 15 papers in Computational Theory and Mathematics and 6 papers in Computational Mechanics. Recurrent topics in Daniela Lera’s work include Advanced Optimization Algorithms Research (18 papers), Iterative Methods for Nonlinear Equations (9 papers) and Numerical Methods and Algorithms (8 papers). Daniela Lera is often cited by papers focused on Advanced Optimization Algorithms Research (18 papers), Iterative Methods for Nonlinear Equations (9 papers) and Numerical Methods and Algorithms (8 papers). Daniela Lera collaborates with scholars based in Italy and Russia. Daniela Lera's co-authors include Yaroslav D. Sergeyev, Dmitri E. Kvasov, Marat S. Mukhametzhanov, Mikhail Posypkin and Maristella Steri and has published in prestigious journals such as Applied Mathematics and Computation, SIAM Journal on Optimization and ACM Transactions on Mathematical Software.

In The Last Decade

Co-authorship network of co-authors of Daniela Lera i

Fields of papers citing papers by Daniela Lera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Lera. 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 Daniela Lera. The network helps show where Daniela Lera may publish in the future.

Countries citing papers authored by Daniela Lera

Since Specialization
Citations

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