Geovani Nunes Grapiglia

23 papers and 234 indexed citations i.

About

Geovani Nunes Grapiglia is a scholar working on Numerical Analysis, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Geovani Nunes Grapiglia has authored 23 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Numerical Analysis, 15 papers in Artificial Intelligence and 15 papers in Computational Mechanics. Recurrent topics in Geovani Nunes Grapiglia’s work include Advanced Optimization Algorithms Research (21 papers), Sparse and Compressive Sensing Techniques (15 papers) and Stochastic Gradient Optimization Techniques (13 papers). Geovani Nunes Grapiglia is often cited by papers focused on Advanced Optimization Algorithms Research (21 papers), Sparse and Compressive Sensing Techniques (15 papers) and Stochastic Gradient Optimization Techniques (13 papers). Geovani Nunes Grapiglia collaborates with scholars based in Brazil, Belgium and China. Geovani Nunes Grapiglia's co-authors include Ya-xiang Yuan, Jinyun Yuan, Yu. Nesterov, Yurii Nesterov, E. W. Sachs, Yifei Yuan, Ke Chen and Max L. N. Gonçalves 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 Geovani Nunes Grapiglia i

Fields of papers citing papers by Geovani Nunes Grapiglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geovani Nunes Grapiglia. 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 Geovani Nunes Grapiglia. The network helps show where Geovani Nunes Grapiglia may publish in the future.

Countries citing papers authored by Geovani Nunes Grapiglia

Since Specialization
Citations

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