Vera Tomazella

670 total citations
59 papers, 416 citations indexed

About

Vera Tomazella is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty. According to data from OpenAlex, Vera Tomazella has authored 59 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 18 papers in Safety, Risk, Reliability and Quality and 18 papers in Statistics, Probability and Uncertainty. Recurrent topics in Vera Tomazella's work include Statistical Distribution Estimation and Applications (38 papers), Statistical Methods and Inference (19 papers) and Reliability and Maintenance Optimization (18 papers). Vera Tomazella is often cited by papers focused on Statistical Distribution Estimation and Applications (38 papers), Statistical Methods and Inference (19 papers) and Reliability and Maintenance Optimization (18 papers). Vera Tomazella collaborates with scholars based in Brazil, Chile and United Kingdom. Vera Tomazella's co-authors include Francisco Louzada, Jeremias Leão, Helton Saulo, Víctor Leiva, Paulo H. Ferreira, Pedro Luiz Ramos, Vinícius F. Calsavara, Saralees Nadarajah, Agatha Sacramento Rodrigues and N. Balakrishnan and has published in prestigious journals such as PLoS ONE, IEEE Access and Statistics in Medicine.

In The Last Decade

Vera Tomazella

53 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vera Tomazella Brazil 12 335 108 80 62 53 59 416
Gladys D. C. Barriga Brazil 10 253 0.8× 130 1.2× 59 0.7× 57 0.9× 46 0.9× 32 344
Anthony F. Desmond Canada 9 376 1.1× 205 1.9× 112 1.4× 64 1.0× 42 0.8× 28 491
S.K. Upadhyay India 13 338 1.0× 204 1.9× 89 1.1× 52 0.8× 43 0.8× 52 437
Hisham M. Almongy Egypt 15 466 1.4× 263 2.4× 96 1.2× 58 0.9× 67 1.3× 27 508
Michelli Barros Brazil 12 563 1.7× 201 1.9× 66 0.8× 127 2.0× 74 1.4× 20 674
Jarosław Bartoszewicz Poland 11 353 1.1× 155 1.4× 64 0.8× 91 1.5× 134 2.5× 69 470
Saima K. Khosa Saudi Arabia 13 269 0.8× 139 1.3× 49 0.6× 20 0.3× 59 1.1× 34 358
Manoel Santos‐Neto Brazil 9 264 0.8× 101 0.9× 19 0.2× 57 0.9× 50 0.9× 21 327
Filidor Vilca Brazil 13 506 1.5× 187 1.7× 58 0.7× 129 2.1× 49 0.9× 40 567
Malwane M. A. Ananda United States 11 442 1.3× 194 1.8× 73 0.9× 69 1.1× 137 2.6× 37 580

Countries citing papers authored by Vera Tomazella

Since Specialization
Citations

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

Fields of papers citing papers by Vera Tomazella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vera Tomazella

This figure shows the co-authorship network connecting the top 25 collaborators of Vera Tomazella. A scholar is included among the top collaborators of Vera Tomazella 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 Vera Tomazella. Vera Tomazella 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.
Tomazella, Vera, et al.. (2025). The Defective Beta-Gompertz Distribution for Cure Rate Regression Models. Journal of Statistical Theory and Practice. 19(2).
2.
Tomazella, Vera, et al.. (2025). Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems. Reliability Engineering & System Safety. 264. 111349–111349.
3.
Tomazella, Vera, et al.. (2025). Shared frailty models for multiple repairable systems under imperfect repair. Quality Engineering. 1–17. 1 indexed citations
4.
Tomazella, Vera, et al.. (2024). Reliability analysis of multiple repairable systems under imperfect repair and unobserved heterogeneity. Quality and Reliability Engineering International. 40(7). 3888–3912. 2 indexed citations
5.
Tomazella, Vera, et al.. (2024). Statistical Inference for Generalized Power-Law Process in repairable systems. Journal of Computational and Applied Mathematics. 445. 115799–115799.
6.
Tomazella, Vera, et al.. (2024). Reliability of repairable systems with Non-Central Gamma frailty. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 42(2). 182–201. 1 indexed citations
7.
Tomazella, Vera, et al.. (2024). Accelerated failure time frailty model for modeling multiple systems subject to minimal repair. Applied Stochastic Models in Business and Industry. 40(4). 1182–1201. 4 indexed citations
8.
Tomazella, Vera, et al.. (2022). Statistical modeling and reliability analysis of multiple repairable systems with dependent failure times under perfect repair. Reliability Engineering & System Safety. 222. 108375–108375. 16 indexed citations
9.
Tomazella, Vera, et al.. (2021). Cox-Gompertz model for analysis of the time of stay in an Anglo-Nubian goat herd. Semina Ciências Agrárias. 42(5). 2937–2958. 1 indexed citations
10.
Ramos, Pedro Luiz, et al.. (2021). A Reparameterized Weighted Lindley Distribution: Properties, Estimation and Applications. Revista Colombiana de Estadística. 44(1). 65–90. 5 indexed citations
11.
Tomazella, Vera, et al.. (2021). Objective bayesian analysis for multiple repairable systems. PLoS ONE. 16(11). e0258581–e0258581. 3 indexed citations
12.
Tomazella, Vera, et al.. (2021). Optimal burn‐in policy based on a set of cutoff points using mixture inverse Gaussian degradation process and copulas. Applied Stochastic Models in Business and Industry. 37(3). 612–627. 5 indexed citations
13.
Louzada, Francisco, José Alberto Cuminato, Oscar Mauricio Hernández Rodríguez, et al.. (2021). Improved objective Bayesian estimator for a PLP model hierarchically represented subject to competing risks under minimal repair regime. PLoS ONE. 16(8). e0255944–e0255944. 2 indexed citations
14.
Pazini, Juliano de Bastos, et al.. (2020). Predicting Rice Stem Stink Bug Population Dynamics Based on GAMLSS Models. Environmental Entomology. 49(5). 1145–1154. 2 indexed citations
15.
Tomazella, Vera, et al.. (2018). Negative Binomial Kumaraswamy-G Cure Rate Regression Model. Journal of risk and financial management. 11(1). 6–6. 6 indexed citations
16.
Tomazella, Vera, et al.. (2016). A new class of defective models based on the Marshall–Olkin family of distributions for cure rate modeling. Computational Statistics & Data Analysis. 107. 48–63. 23 indexed citations
17.
Nadarajah, Saralees, et al.. (2015). Two new defective distributions based on the Marshall–Olkin extension. Lifetime Data Analysis. 22(2). 216–240. 13 indexed citations
18.
19.
Louzada, Francisco, et al.. (2013). Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures. Journal of Applied Statistics. 41(3). 622–634. 2 indexed citations
20.
Rodrigues, Josemar, et al.. (2009). A Note on the Prior Distributions of Weibull Parameters for the Reliability Function. Communication in Statistics- Theory and Methods. 38(7). 1041–1054. 3 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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