Flávio Barboza

49 total papers · 1.3k total citations
26 papers, 790 citations indexed

About

Flávio Barboza is a scholar working on Finance, Accounting and Management Science and Operations Research. According to data from OpenAlex, Flávio Barboza has authored 26 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Finance, 14 papers in Accounting and 8 papers in Management Science and Operations Research. Recurrent topics in Flávio Barboza's work include Financial Distress and Bankruptcy Prediction (10 papers), Stock Market Forecasting Methods (7 papers) and Imbalanced Data Classification Techniques (6 papers). Flávio Barboza is often cited by papers focused on Financial Distress and Bankruptcy Prediction (10 papers), Stock Market Forecasting Methods (7 papers) and Imbalanced Data Classification Techniques (6 papers). Flávio Barboza collaborates with scholars based in Brazil, United States and Türkiye. Flávio Barboza's co-authors include Herbert Kimura, Edward I. Altman, Vinícius Amorim Sobreiro, Leonardo Fernando Cruz Basso, Sirlei Lemes, Vanderlei Bonato, Geraldo Nunes Silva and Daniel O. Cajueiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Flávio Barboza

22 papers receiving 750 citations

Hit Papers

Machine learning models a... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Flávio Barboza 485 269 240 147 130 26 790
Galina Andreeva 448 0.9× 145 0.5× 280 1.2× 190 1.3× 110 0.8× 36 699
Barbro Back 327 0.7× 326 1.2× 124 0.5× 94 0.6× 208 1.6× 39 759
Pedro Carmona 420 0.9× 149 0.6× 148 0.6× 159 1.1× 87 0.7× 52 858
Guotai Chi 401 0.8× 274 1.0× 178 0.7× 177 1.2× 127 1.0× 94 724
Shaonan Tian 470 1.0× 212 0.8× 234 1.0× 103 0.7× 125 1.0× 23 759
Esteban Alfaro 236 0.5× 274 1.0× 112 0.5× 199 1.4× 136 1.0× 39 806
Pedro Tedde de Lorca 202 0.4× 144 0.5× 94 0.4× 148 1.0× 94 0.7× 63 680
N Gordini 394 0.8× 123 0.5× 89 0.4× 89 0.6× 60 0.5× 32 645
Teija Laitinen 564 1.2× 245 0.9× 195 0.8× 78 0.5× 91 0.7× 22 673
Shimon Kogan 223 0.5× 126 0.5× 360 1.5× 275 1.9× 195 1.5× 40 743

Countries citing papers authored by Flávio Barboza

Since Specialization
Citations

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

Fields of papers citing papers by Flávio Barboza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flávio Barboza

This figure shows the co-authorship network connecting the top 25 collaborators of Flávio Barboza. A scholar is included among the top collaborators of Flávio Barboza 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 Flávio Barboza. Flávio Barboza 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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