Mariana Macedo

42 total papers · 502 total citations
23 papers, 341 citations indexed

About

Mariana Macedo is a scholar working on Artificial Intelligence, Biomedical Engineering and Sociology and Political Science. According to data from OpenAlex, Mariana Macedo has authored 23 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 4 papers in Biomedical Engineering and 3 papers in Sociology and Political Science. Recurrent topics in Mariana Macedo's work include Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (8 papers) and Artificial Immune Systems Applications (3 papers). Mariana Macedo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Evolutionary Algorithms and Applications (8 papers) and Artificial Immune Systems Applications (3 papers). Mariana Macedo collaborates with scholars based in Brazil, United States and United Kingdom. Mariana Macedo's co-authors include Carmelo J. A. Bastos-Filho, Hugo Valadares Siqueira, Anu Gokhale, Elliackin Figueiredo, Ronaldo Menezes, Alessio Cardillo, Marcos Oliveira, Alexandre Magno Andrade Maciel, Maí­ra Araújo de Santana and Diego Pinheiro and has published in prestigious journals such as PLoS ONE, IEEE Access and Biotechnology and Bioengineering.

In The Last Decade

Mariana Macedo

21 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mariana Macedo 170 48 42 34 29 23 341
Maolong Xi 192 1.1× 37 0.8× 61 1.5× 22 0.6× 78 2.7× 17 383
Yungang Zhu 120 0.7× 37 0.8× 30 0.7× 24 0.7× 24 0.8× 23 324
Matthias Steinbrecher 131 0.8× 28 0.6× 32 0.8× 16 0.5× 49 1.7× 14 319
Samaneh Yazdani 151 0.9× 51 1.1× 64 1.5× 35 1.0× 34 1.2× 16 338
Mengxiang Chen 152 0.9× 42 0.9× 56 1.3× 32 0.9× 17 0.6× 17 336
Ahmad MohdAziz Hussein 150 0.9× 80 1.7× 24 0.6× 41 1.2× 18 0.6× 17 354
Zahra Asghari Varzaneh 192 1.1× 43 0.9× 38 0.9× 23 0.7× 42 1.4× 14 378
Souad Amjad 269 1.6× 38 0.8× 72 1.7× 16 0.5× 34 1.2× 23 383
Jason Brownlee 150 0.9× 53 1.1× 63 1.5× 43 1.3× 42 1.4× 14 394
Gültekin Işık 132 0.8× 42 0.9× 23 0.5× 19 0.6× 19 0.7× 22 336

Countries citing papers authored by Mariana Macedo

Since Specialization
Citations

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

Fields of papers citing papers by Mariana Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariana Macedo

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Macedo. A scholar is included among the top collaborators of Mariana Macedo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariana Macedo. Mariana Macedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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