Marcia Fampa

42 papers and 577 indexed citations i.

About

Marcia Fampa is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Electrical and Electronic Engineering. According to data from OpenAlex, Marcia Fampa has authored 42 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 17 papers in Numerical Analysis and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Marcia Fampa’s work include Advanced Optimization Algorithms Research (17 papers), Electric Power System Optimization (8 papers) and VLSI and FPGA Design Techniques (7 papers). Marcia Fampa is often cited by papers focused on Advanced Optimization Algorithms Research (17 papers), Electric Power System Optimization (8 papers) and VLSI and FPGA Design Techniques (7 papers). Marcia Fampa collaborates with scholars based in Brazil, United States and France. Marcia Fampa's co-authors include Luiz Barroso, M.V.F. Pereira, S. Granville, Jon Lee, Kurt M. Anstreicher, Luidi Simonetti, Olinto César Bassi de Araújo, Nelson Maculan, Felipe Martins Müller and Rafael Kelman and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Power Systems and Operations Research.

In The Last Decade

Co-authorship network of co-authors of Marcia Fampa i

Fields of papers citing papers by Marcia Fampa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcia Fampa

Since Specialization
Citations

This map shows the geographic impact of Marcia Fampa'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 Marcia Fampa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia Fampa 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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2025