Igor Tona Peres

657 total citations
29 papers, 378 citations indexed

About

Igor Tona Peres is a scholar working on Infectious Diseases, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Igor Tona Peres has authored 29 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Epidemiology and 6 papers in Economics and Econometrics. Recurrent topics in Igor Tona Peres's work include Machine Learning in Healthcare (5 papers), Healthcare Policy and Management (5 papers) and Healthcare Operations and Scheduling Optimization (5 papers). Igor Tona Peres is often cited by papers focused on Machine Learning in Healthcare (5 papers), Healthcare Policy and Management (5 papers) and Healthcare Operations and Scheduling Optimization (5 papers). Igor Tona Peres collaborates with scholars based in Brazil, Spain and Portugal. Igor Tona Peres's co-authors include Fernando A. Bozza, Sílvio Hamacher, Leila Figueiredo Dantas, Leonardo dos Santos Lourenço Bastos, Paula Maçaira, Fernanda Baião, Fernando Luiz Cyrino Oliveira, Janaina F. Marchesi, Jorge I. Salluh and Rafael Martinelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Igor Tona Peres

23 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Tona Peres Brazil	11	91	61	61	50	40	29	378
Mohammed Owais Qureshi Australia	9	23 0.3×	63 1.0×	88 1.4×	63 1.3×	24 0.6×	18	404
Sean Shao Wei Lam Singapore	12	159 1.7×	32 0.5×	24 0.4×	56 1.1×	85 2.1×	26	586
Pooyan Kazemian United States	12	99 1.1×	130 2.1×	99 1.6×	94 1.9×	13 0.3×	28	578
Mohamed Ali Ag Ahmed Canada	11	38 0.4×	37 0.6×	31 0.5×	82 1.6×	60 1.5×	32	534
Corrado Lanera Italy	14	53 0.6×	22 0.4×	32 0.5×	41 0.8×	65 1.6×	55	534
Eunyoung Shim South Korea	13	144 1.6×	19 0.3×	45 0.7×	25 0.5×	29 0.7×	16	453
Nasuh Büyükkaramikli Netherlands	14	68 0.7×	74 1.2×	23 0.4×	176 3.5×	11 0.3×	30	635
Janaina F. Marchesi Brazil	8	43 0.5×	153 2.5×	80 1.3×	58 1.2×	7 0.2×	10	491
Soheil Hashtarkhani Iran	9	77 0.8×	33 0.5×	23 0.4×	36 0.7×	19 0.5×	27	300
Brendon Sen-Crowe United States	8	23 0.3×	59 1.0×	45 0.7×	53 1.1×	10 0.3×	27	325

Countries citing papers authored by Igor Tona Peres

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Marchesi, Janaina F., Sílvio Hamacher, & Igor Tona Peres. (2025). Stochastic model for physician staffing and scheduling in emergency departments with multiple treatment stages. European Journal of Operational Research. 324(2). 492–505.

Dantas, Vicente Cés de Souza, et al.. (2025). A risk-adjusted length of stay to evaluate severe Community-Acquired Pneumonia (sCAP) outcomes: A machine learning analysis of 16,985 ICU admissions. Journal of Critical Care. 90. 155208–155208. 1 indexed citations

Baião, Fernanda, et al.. (2025). Determinants of primary healthcare efficiency in the Brazilian Legal Amazon: A hybrid approach using Data Envelopment Analysis and Tobit regression. Socio-Economic Planning Sciences. 101. 102257–102257. 1 indexed citations

Peres, Igor Tona, et al.. (2025). Authors reply: “A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: A machine learning analysis of 16,985 ICU admissions”. Journal of Critical Care. 91. 155321–155321. 1 indexed citations

Peres, Igor Tona, Otávio T. Ranzani, Leonardo dos Santos Lourenço Bastos, et al.. (2025). Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: A nationwide, multicenter cohort study. International Journal of Infectious Diseases. 159. 108023–108023.

Nathan, Jayakayatri Jeevajothi, Igor Tona Peres, Leonardo dos Santos Lourenço Bastos, et al.. (2024). Digital health interventions in primary care in low- and middle-income countries: a systematic scoping review protocol. SHILAP Revista de lepidopterología. 8. 3 indexed citations

Peres, Igor Tona, et al.. (2024). Performance evaluation of an emergency department in Rio de Janeiro: a hybrid approach using Discrete Events Simulation and Data Envelopment Analysis. Gestão & Produção. 31. 1 indexed citations

Dantas, Leila Figueiredo, Igor Tona Peres, Leonardo dos Santos Lourenço Bastos, et al.. (2024). Prediction of multidrug-resistant bacteria (MDR) hospital-acquired infection (HAI) and colonisation: A systematic review. Infection Disease & Health. 30(1). 50–60. 3 indexed citations

Peres, Igor Tona, Fernanda Baião, Otávio T. Ranzani, et al.. (2023). What we talk about when we talk about COVID-19 vaccination campaign impact: a narrative review. Frontiers in Public Health. 11. 1126461–1126461. 3 indexed citations

10.

Peres, Igor Tona, et al.. (2023). PREDICTION AND FACTORS RELATED TO NO-SHOW: A STUDY IN A CARDIOLOGY AND NEUROLOGY CLINIC. Pesquisa Operacional. 43. 1 indexed citations

11.

Peres, Igor Tona, Sílvio Hamacher, Fernando Luiz Cyrino Oliveira, Fernando A. Bozza, & Jorge I. Salluh. (2022). Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units. Anaesthesia Critical Care & Pain Medicine. 41(6). 101142–101142. 19 indexed citations

12.

Cerbino-Neto, José, Igor Tona Peres, Luiz Felipe Pinto, et al.. (2022). Seroepidemiology of SARS-CoV-2 on a partially vaccinated island in Brazil: Determinants of infection and vaccine response. Frontiers in Public Health. 10. 1017337–1017337.

13.

Kurtz, Pedro, Igor Tona Peres, Márcio Soares, Jorge I. Salluh, & Fernando A. Bozza. (2022). Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil. Neurocritical Care. 37(S2). 313–321. 31 indexed citations

14.

Peres, Igor Tona, Sílvio Hamacher, Fernando Luiz Cyrino Oliveira, Fernando A. Bozza, & Jorge I. Salluh. (2021). Prediction of intensive care units length of stay: a concise review. Revista Brasileira de Terapia Intensiva. 33(2). 183–187. 10 indexed citations

15.

Dantas, Leila Figueiredo, Igor Tona Peres, Leonardo dos Santos Lourenço Bastos, et al.. (2021). App-based symptom tracking to optimize SARS-CoV-2 testing strategy using machine learning. PLoS ONE. 16(3). e0248920–e0248920. 20 indexed citations

16.

Peres, Igor Tona, Fernanda Baião, Otávio T. Ranzani, et al.. (2020). Progression of confirmed COVID-19 cases after the implementation of control measures. Revista Brasileira de Terapia Intensiva. 32(2). 213–223. 20 indexed citations

17.

Peres, Igor Tona, Sílvio Hamacher, Fernando Luiz Cyrino Oliveira, Antônio Márcio Tavares Thomé, & Fernando A. Bozza. (2020). What factors predict length of stay in the intensive care unit? Systematic review and meta-analysis. Journal of Critical Care. 60. 183–194. 33 indexed citations

18.

Bastos, Leonardo dos Santos Lourenço, Igor Tona Peres, Leila Figueiredo Dantas, et al.. (2020). Analysis of COVID-19 under-reporting in Brazil. Revista Brasileira de Terapia Intensiva. 32(2). 224–228. 78 indexed citations

19.

Peres, Igor Tona, et al.. (2019). Simulation of Appointment Scheduling Policies: a Study in a Bariatric Clinic. Obesity Surgery. 29(9). 2824–2830. 12 indexed citations

20.

Dantas, Leila Figueiredo, et al.. (2019). Public hospitalizations for stroke in Brazil from 2009 to 2016. PLoS ONE. 14(3). e0213837–e0213837. 30 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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