Fernando Ferraz do Nascimento

445 total citations
42 papers, 318 citations indexed

About

Fernando Ferraz do Nascimento is a scholar working on Finance, Global and Planetary Change and Statistics and Probability. According to data from OpenAlex, Fernando Ferraz do Nascimento has authored 42 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Finance, 16 papers in Global and Planetary Change and 10 papers in Statistics and Probability. Recurrent topics in Fernando Ferraz do Nascimento's work include Hydrology and Drought Analysis (16 papers), Financial Risk and Volatility Modeling (16 papers) and Statistical Methods and Inference (7 papers). Fernando Ferraz do Nascimento is often cited by papers focused on Hydrology and Drought Analysis (16 papers), Financial Risk and Volatility Modeling (16 papers) and Statistical Methods and Inference (7 papers). Fernando Ferraz do Nascimento collaborates with scholars based in Brazil, United States and Portugal. Fernando Ferraz do Nascimento's co-authors include Wilfried R. Vanhonacker, Hedibert F. Lopes, Dani Gamerman, Marcelo Bourguignon, Irenilza de Alencar Nääs, Rodrigo Lilla Manzione, Jeremias Leão, Semíramis Jamil Hadad do Monte, José Adail Fonseca de Castro and Adalberto Socorro da Silva and has published in prestigious journals such as Management Science, Gene and Applied Mathematical Modelling.

In The Last Decade

Fernando Ferraz do Nascimento

33 papers receiving 297 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Ferraz do Nascimento Brazil 10 85 80 48 47 43 42 318
Arthur Havenner United States 11 113 1.3× 34 0.4× 22 0.5× 18 0.4× 7 0.2× 39 542
Arianna Agosto Italy 10 93 1.1× 11 0.1× 11 0.2× 27 0.6× 12 0.3× 25 264
Eva Boj del Val Spain 8 33 0.4× 22 0.3× 67 1.4× 14 0.3× 4 0.1× 33 290
Suren Basov Australia 9 55 0.6× 13 0.2× 16 0.3× 12 0.3× 35 0.8× 32 284
Maria Michela Dickson Italy 8 13 0.2× 37 0.5× 30 0.6× 80 1.7× 4 0.1× 34 286
Ida Scheel Norway 10 5 0.1× 37 0.5× 44 0.9× 11 0.2× 7 0.2× 16 288
Jeremias Leão Brazil 14 64 0.8× 55 0.7× 317 6.6× 12 0.3× 1 0.0× 44 522
Ajay Shah India 14 489 5.8× 26 0.3× 13 0.3× 39 0.8× 3 0.1× 71 801
I Gede Nyoman Mindra Jaya Indonesia 10 10 0.1× 32 0.4× 24 0.5× 54 1.1× 2 0.0× 71 334
Luiz Koodi Hotta Brazil 14 236 2.8× 15 0.2× 51 1.1× 8 0.2× 2 0.0× 59 463

Countries citing papers authored by Fernando Ferraz do Nascimento

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ferraz do Nascimento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Ferraz do Nascimento. 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 Fernando Ferraz do Nascimento. The network helps show where Fernando Ferraz do Nascimento may publish in the future.

Co-authorship network of co-authors of Fernando Ferraz do Nascimento

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Ferraz do Nascimento. A scholar is included among the top collaborators of Fernando Ferraz do Nascimento 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 Fernando Ferraz do Nascimento. Fernando Ferraz do Nascimento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nascimento, Fernando Ferraz do, et al.. (2024). Temporal and spatial analysis of notifications of sexual violence against male children and adolescents in Brazil, 2013 to 2022: an ecological study. Epidemiologia e Serviços de Saúde. 33. e20231439–e20231439.
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Nascimento, Fernando Ferraz do, et al.. (2024). Tendência da mortalidade por transtornos mentais e comportamentais devidos ao uso de álcool no Brasil, 2010-2021. Epidemiologia e Serviços de Saúde. 33.
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Nascimento, Fernando Ferraz do, et al.. (2024). Prevalence and factors associated with body image dissatisfaction among school student: National School Health Survey, 2019. Epidemiologia e Serviços de Saúde. 33. e20231441–e20231441. 1 indexed citations
6.
Mascarenhas, Márcio Dênis Medeiros, et al.. (2024). Impact of the Covid-19 pandemic on the maternal mortality rate in Brazil: trend and spatial distribution. Revista gaúcha de enfermagem. 45. e20230299–e20230299. 1 indexed citations
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Frota, Karoline de Macêdo Gonçalves, et al.. (2023). Syphilis detection rate trend in aged people: Brazil, 2011–2019. Revista Brasileira de Epidemiologia. 26. e230033–e230033. 4 indexed citations
9.
Frota, Karoline de Macêdo Gonçalves, et al.. (2023). Tendência da taxa de detecção de sífilis em pessoas idosas: Brasil, 2011–2019. Revista Brasileira de Epidemiologia. 26. 1 indexed citations
10.
Borges, José Wicto Pereira, et al.. (2021). Satisfação dos usuários com os cuidados de enfermagem no ambiente hospitalar. Rev. Pesqui. (Univ. Fed. Estado Rio J., Online). 1068–1074. 1 indexed citations
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Nascimento, Fernando Ferraz do, et al.. (2020). A change-point model for the r-largest order statistics with applications to environmental and financial data. Applied Mathematical Modelling. 82. 666–679. 6 indexed citations
13.
Lima, Carlos Eduardo Batista de, et al.. (2019). Fatores sociodemográficos e comportamentais associados ao excesso de peso em adolescentes brasileiros - 2015. Scopus. 16(2). 16–26. 2 indexed citations
14.
Nascimento, Fernando Ferraz do, et al.. (2019). A Bayesian approach to zero-inflated data in extremes. Communication in Statistics- Theory and Methods. 49(17). 4150–4161. 2 indexed citations
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Nascimento, Fernando Ferraz do, et al.. (2018). Relação bilateral entre excesso de peso e transtornos mentais. Revista Brasileira em Promoção da saúde. 31(1). 3 indexed citations
16.
Nascimento, Fernando Ferraz do, et al.. (2016). A Bayesian model for multiple change point to extremes, with application to environmental and financial data. Journal of Applied Statistics. 44(13). 2410–2426. 6 indexed citations
17.
Nascimento, Fernando Ferraz do, Dani Gamerman, & Hedibert F. Lopes. (2015). Time-varying extreme pattern with dynamic models. Test. 25(1). 131–149. 16 indexed citations
18.
Nascimento, Fernando Ferraz do, Marcelo Bourguignon, & Jeremias Leão. (2015). Extended generalized extreme value distribution with applications in environmental data. Hacettepe Journal of Mathematics and Statistics. 46(95). 1–1. 17 indexed citations
19.
Pereira, Ester Miranda, et al.. (2013). Lysosome-associated protein 1 (LAMP-1) and Lysosome-associated protein 2 (LAMP-2) in a larger family carrier of Fabry disease. Gene. 536(1). 118–122. 16 indexed citations
20.
Sousa, Luiz Cláudio Demes da Mata, Adalberto Socorro da Silva, Pedro de Alcântara dos Santos Neto, et al.. (2012). EpHLA software: A timesaving and accurate tool for improving identification of acceptable mismatches for clinical purposes. Transplant Immunology. 26(4). 230–234. 11 indexed citations

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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