Marcelo Antunes Failla

422 citations
14 papers · 145 indexed · h-index 7

Marcelo Antunes Failla

12 papers receiving 142 citations

Peers

Marcelo Antunes Failla
Comparison fields: 5 of 53
  • Modeling and Simulation 27
  • Transportation 31
  • Speech and Hearing 20
  • Health 20
  • Health, Toxicology and Mutagenesis 30
Replace Gretchen M. Culp with:
Gretchen M. Culp United States
Melanie Tomintz New Zealand
Hedi Katre Kriit Sweden
Roberto Croci Italy
Mary Dallat United Kingdom
Lars Skog Sweden
Janeth Tenorio‐Mucha Peru
Lauren M. Andersen United States
Catalina Torres France
Marc Peterson United States
Marcelo Antunes Failla relative to Gretchen M. Culp United States Gretchen M. Culp's profile →
Citations per field
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Gretchen M. Culp · 1×
Citations per year

Countries citing papers authored by Marcelo Antunes Failla

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Antunes Failla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Antunes Failla. 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 Marcelo Antunes Failla. The network helps show where Marcelo Antunes Failla may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marcelo Antunes Failla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcelo Antunes Failla Line = papers co-authored together Marcelo Antunes Failla links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20230
2 20232
3 20231
4 20231
5 20222
6 20215
7 202116
8 20213
9 202011
10 202042
11 202014
12 201922
13 201810
14 201816

About Marcelo Antunes Failla

Marcelo Antunes Failla is a scholar working on Health, Transportation and Modeling and Simulation, having authored 14 papers that have together received 145 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Obesity, Physical Activity, Diet (4 papers), Health disparities and outcomes (4 papers), Air Quality and Health Impacts (3 papers), Urban Transport and Accessibility (3 papers), Data-Driven Disease Surveillance (3 papers), COVID-19 epidemiological studies (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Transportation (31 citations) and Speech and Hearing (20 citations). Marcelo Antunes Failla has collaborated with scholars based in Brazil, Australia and United Kingdom. Frequent co-authors include Breno Souza de Aguiar, Lígia Vizeu Barrozo, Patricia Marques Moralejo Bermudi, Francisco Chiaravalloti Neto, Camila Lorenz, Alex Antônio Florindo, Adeylson Guimarães Ribeiro, João Paulo dos Anjos Souza Barbosa, Moisés Goldbaum and Carmen Simone Grilo Diniz. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Public Health and Annals of Epidemiology.

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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