Andréa V. Rocha

557 total citations
10 papers, 374 citations indexed

About

Andréa V. Rocha is a scholar working on Statistics and Probability, Management Science and Operations Research and Plant Science. According to data from OpenAlex, Andréa V. Rocha has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 2 papers in Plant Science. Recurrent topics in Andréa V. Rocha's work include Statistical Methods and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Methods and Models (3 papers). Andréa V. Rocha is often cited by papers focused on Statistical Methods and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Methods and Models (3 papers). Andréa V. Rocha collaborates with scholars based in Brazil. Andréa V. Rocha's co-authors include Alexandre B. Simas, Wagner Barreto‐Souza, Francisco Cribari‐Neto, Ronei Marcos de Moraes and Gauss M. Cordeiro and has published in prestigious journals such as Knowledge-Based Systems, Journal of Statistical Physics and Computational Statistics & Data Analysis.

In The Last Decade

Andréa V. Rocha

10 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andréa V. Rocha Brazil	6	208	56	43	40	38	10	374
Monica Musio Italy	11	126 0.6×	68 1.2×	66 1.5×	34 0.8×	28 0.7×	35	379
Paul Cabilio Canada	10	136 0.7×	52 0.9×	25 0.6×	58 1.4×	26 0.7×	32	273
Alexandre B. Simas Brazil	10	353 1.7×	77 1.4×	38 0.9×	47 1.2×	136 3.6×	27	524
Felipe Osorio Chile	8	153 0.7×	56 1.0×	35 0.8×	19 0.5×	21 0.6×	20	292
Marinho G. Andrade Brazil	9	110 0.5×	65 1.2×	28 0.7×	22 0.6×	10 0.3×	48	249
Hans Nyquist Sweden	12	165 0.8×	29 0.5×	45 1.0×	45 1.1×	33 0.9×	31	365
Dale S. Borowiak United States	6	129 0.6×	49 0.9×	39 0.9×	32 0.8×	21 0.6×	10	362
Joyee Ghosh United States	11	181 0.9×	135 2.4×	41 1.0×	30 0.8×	20 0.5×	26	469
Hohsuk Noh South Korea	8	177 0.9×	48 0.9×	40 0.9×	54 1.4×	12 0.3×	22	277
Mai Zhou United States	14	434 2.1×	80 1.4×	37 0.9×	46 1.1×	42 1.1×	45	585

Countries citing papers authored by Andréa V. Rocha

Since Specialization

Citations

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

Fields of papers citing papers by Andréa V. Rocha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andréa V. Rocha. 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 Andréa V. Rocha. The network helps show where Andréa V. Rocha may publish in the future.

Co-authorship network of co-authors of Andréa V. Rocha

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

All Works

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10 of 10 papers shown

Rocha, Andréa V. & Alexandre B. Simas. (2017). Asymptotic adjustments of Pearson residuals in exponential family nonlinear models. Journal of Statistical Computation and Simulation. 87(8). 1684–1700. 1 indexed citations

Moraes, Ronei Marcos de, et al.. (2014). NEW PARAMETERS ESTIMATORS USING EM-LIKE ALGORITHM FOR NAIVE BAYES CLASSIFIER BASED ON BETA DISTRIBUTIONS. 155–160. 1 indexed citations

Moraes, Ronei Marcos de, et al.. (2011). Intelligent assessment based on Beta Regression for realistic training on medical simulators. Knowledge-Based Systems. 32. 3–8. 13 indexed citations

Rocha, Andréa V., et al.. (2011). Substitution Operators. Journal of Statistical Physics. 143(3). 585–618. 4 indexed citations

Simas, Alexandre B., Andréa V. Rocha, & Wagner Barreto‐Souza. (2011). Bias-corrected estimators for dispersion models with dispersion covariates. Journal of Statistical Planning and Inference. 141(9). 3063–3074. 4 indexed citations

Simas, Alexandre B., Gauss M. Cordeiro, & Andréa V. Rocha. (2010). Skewness of maximum likelihood estimators in dispersion models. Journal of Statistical Planning and Inference. 140(7). 2111–2121. 7 indexed citations

Rocha, Andréa V., Alexandre B. Simas, & Gauss M. Cordeiro. (2010). Second-order asymptotic expressions for the covariance matrix of maximum likelihood estimators in dispersion models. Statistics & Probability Letters. 80(7-8). 718–725. 6 indexed citations

Rocha, Andréa V. & Alexandre B. Simas. (2010). Influence diagnostics in a general class of beta regression models. Test. 20(1). 95–119. 45 indexed citations

Simas, Alexandre B., Wagner Barreto‐Souza, & Andréa V. Rocha. (2009). Improved estimators for a general class of beta regression models. Computational Statistics & Data Analysis. 54(2). 348–366. 214 indexed citations

10.

Rocha, Andréa V. & Francisco Cribari‐Neto. (2008). Beta autoregressive moving average models. Test. 18(3). 529–545. 79 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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