Igor Tona Peres
- Epidemiology
- Infectious Diseases
- Modeling and Simulation top 5%
- Economics and Econometrics
- Artificial Intelligence
- Co-authors
- Fernando A. BozzaSílvio HamacherLeila Figueiredo DantasLeonardo dos Santos Lourenço BastosFernanda BaiãoPaula MaçairaFernando Luiz Cyrino OliveiraJorge I. Salluh
- Topics
- Machine Learning in Healthcare (5 papers)Healthcare Policy and Management (5 papers)Healthcare Operations and Scheduling Optimization (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEuropean Journal of Operational Research
In The Last Decade
Igor Tona Peres
23 papers receiving 364 citations
Peers
Comparison fields: 5 of 99
- Epidemiology 91
- Infectious Diseases 61
- Modeling and Simulation 61
- Economics and Econometrics 50
- Artificial Intelligence 40
Countries citing papers authored by Igor Tona Peres
This map shows the geographic impact of Igor Tona Peres'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 Igor Tona Peres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Tona Peres more than expected).
Fields of papers citing papers by Igor Tona Peres
This network shows the impact of papers produced by Igor Tona Peres. 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 Igor Tona Peres. The network helps show where Igor Tona Peres may publish in the future.
Co-authorship network of co-authors of Igor Tona Peres
This figure shows the co-authorship network connecting the top 25 collaborators of Igor Tona Peres. A scholar is included among the top collaborators of Igor Tona Peres 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 Igor Tona Peres. Igor Tona Peres is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 0 | |
| 13 | 31 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | 10 | |
| 17 | 20 | |
| 18 | 33 | |
| 19 | 30 | |
| 20 | 12 |
About Igor Tona Peres
Igor Tona Peres is a scholar working on Emergency Medical Services, Medical Laboratory Technology and Modeling and Simulation, having authored 29 papers that have together received 378 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (5 papers), Healthcare Policy and Management (5 papers) and Healthcare Operations and Scheduling Optimization (5 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Health Informatics (12 citations) and Health Information Management (21 citations). Igor Tona Peres has collaborated with scholars based in Brazil, Spain and Portugal. Frequent co-authors include Fernando A. Bozza, Sílvio Hamacher, Leila Figueiredo Dantas, Leonardo dos Santos Lourenço Bastos, Fernanda Baião, Paula Maçaira, Fernando Luiz Cyrino Oliveira, Jorge I. Salluh, Janaina F. Marchesi and Rafael Martinelli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.
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.