Josemar Rodrigues

1.3k total citations
66 papers, 938 citations indexed

About

Josemar Rodrigues is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Josemar Rodrigues has authored 66 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 23 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Josemar Rodrigues's work include Statistical Distribution Estimation and Applications (26 papers), Statistical Methods and Bayesian Inference (24 papers) and Bayesian Methods and Mixture Models (23 papers). Josemar Rodrigues is often cited by papers focused on Statistical Distribution Estimation and Applications (26 papers), Statistical Methods and Bayesian Inference (24 papers) and Bayesian Methods and Mixture Models (23 papers). Josemar Rodrigues collaborates with scholars based in Brazil, Canada and Spain. Josemar Rodrigues's co-authors include Vicente G. Cancho, Mário de Castro, N. Balakrishnan, Francisco Louzada, Heleno Bolfarine, Arnold Zellner, Mário de Castro, Rodrigo Béttega, Patrick Borges and Manoel Santos‐Neto and has published in prestigious journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, Enzyme and Microbial Technology and Computer Methods and Programs in Biomedicine.

In The Last Decade

Josemar Rodrigues

61 papers receiving 894 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josemar Rodrigues Brazil 18 691 262 205 92 65 66 938
Subrata Chakraborty India 16 642 0.9× 177 0.7× 110 0.5× 268 2.9× 69 1.1× 107 1.0k
Jin‐Ting Zhang Singapore 16 766 1.1× 375 1.4× 101 0.5× 51 0.6× 79 1.2× 71 1.2k
S. R. Paul Canada 18 591 0.9× 171 0.7× 92 0.4× 98 1.1× 33 0.5× 73 894
Kimberly F. Sellers United States 14 360 0.5× 170 0.6× 87 0.4× 112 1.2× 146 2.2× 42 986
Trevor J. Sweeting United Kingdom 17 539 0.8× 188 0.7× 108 0.5× 186 2.0× 139 2.1× 59 1.3k
Takeshi Emura Taiwan 20 865 1.3× 179 0.7× 100 0.5× 228 2.5× 99 1.5× 100 1.5k
Hannes Leeb Austria 10 514 0.7× 137 0.5× 73 0.4× 79 0.9× 24 0.4× 29 900
S. Loukas Greece 11 548 0.8× 123 0.5× 88 0.4× 317 3.4× 13 0.2× 32 818
Zubair Ahmad Pakistan 22 1.0k 1.5× 99 0.4× 254 1.2× 539 5.9× 29 0.4× 108 1.4k

Countries citing papers authored by Josemar Rodrigues

Since Specialization
Citations

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

Fields of papers citing papers by Josemar Rodrigues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josemar Rodrigues

This figure shows the co-authorship network connecting the top 25 collaborators of Josemar Rodrigues. A scholar is included among the top collaborators of Josemar Rodrigues 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 Josemar Rodrigues. Josemar Rodrigues 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.
Cancho, Vicente G., et al.. (2017). Bayesian cure rate models induced by frailty in survival analysis. Statistical Methods in Medical Research. 26(5). 2011–2028. 11 indexed citations
2.
Rodrigues, Josemar, et al.. (2016). Flexible M/G/1 queueing system with state dependent service rate. Operations Research Letters. 44(3). 383–389. 5 indexed citations
3.
Rodrigues, Josemar, et al.. (2015). Relaxed Poisson cure rate models. Biometrical Journal. 58(2). 397–415. 9 indexed citations
4.
Rodrigues, Josemar, et al.. (2014). Latent cure rate model under repair system and threshold effect. Journal of Statistical Computation and Simulation. 85(14). 2860–2873. 2 indexed citations
5.
Borges, Patrick, Josemar Rodrigues, Francisco Louzada, & N. Balakrishnan. (2012). A cure rate survival model under a hybrid latent activation scheme. Statistical Methods in Medical Research. 25(2). 838–856. 5 indexed citations
6.
Rodrigues, Josemar, et al.. (2011). Standard Exponential Cure Rate Model with Noninformative or Informative Uniform-Exponential Censoring. Communications in Statistics - Simulation and Computation. 40(3). 364–382. 2 indexed citations
7.
Zangirolami, Teresa Cristina, et al.. (2011). An innovative biocatalyst for production of ethanol from xylose in a continuous bioreactor. Enzyme and Microbial Technology. 50(1). 35–42. 32 indexed citations
8.
Rodrigues, Josemar, Mário de Castro, N. Balakrishnan, & Vicente G. Cancho. (2010). Destructive weighted Poisson cure rate models. Lifetime Data Analysis. 17(3). 333–346. 50 indexed citations
9.
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
10.
Castro, Mário de, Vicente G. Cancho, & Josemar Rodrigues. (2009). A Bayesian Long‐term Survival Model Parametrized in the Cured Fraction. Biometrical Journal. 51(3). 443–455. 39 indexed citations
11.
Castro, Mário de, Vicente G. Cancho, & Josemar Rodrigues. (2009). A hands-on approach for fitting long-term survival models under the GAMLSS framework. Computer Methods and Programs in Biomedicine. 97(2). 168–177. 22 indexed citations
12.
Rodrigues, Josemar. (2006). Full Bayesian Significance Test for Zero-Inflated Distributions. Communication in Statistics- Theory and Methods. 35(2). 299–307. 10 indexed citations
13.
Rodrigues, Josemar. (2003). Bayesian Analysis of Zero-Inflated Distributions. Communication in Statistics- Theory and Methods. 32(2). 281–289. 36 indexed citations
14.
Rodrigues, Josemar, et al.. (2000). A Bayesian analysis for estimating the number of species in a population using nonhomogeneous Poisson process. Statistics & Probability Letters. 48(2). 153–161. 8 indexed citations
15.
Rodrigues, Josemar, et al.. (1999). Bayesian inference of the weibull reliability function via laplace approximation. 17(17). 167–174. 1 indexed citations
16.
Rodrigues, Josemar & Arnold Zellner. (1994). Weighted balanced loss function and estimation of the mean time to failure. Communication in Statistics- Theory and Methods. 23(12). 3609–3616. 48 indexed citations
17.
Bolfarine, Heleno, Josemar Rodrigues, & S. Zacks. (1993). Some asymptotic results in finite populations. Statistics. 24(4). 359–370.
18.
Rodrigues, Josemar. (1992). The kullback - leibler approximation of the marginal posterior density: An application to the linear functional model. Communication in Statistics- Theory and Methods. 21(10). 2861–2868.
19.
Achcar, Jorge Alberto, Josemar Rodrigues, & Heleno Bolfarine. (1991). Inverse gaussian distribution: a bayesian approach. 5(1). 81–93. 2 indexed citations
20.
Rodrigues, Josemar, et al.. (1990). A note on the orthogonal reparametrization in bayesian inference for the extreme value distribution. 122(8). 95–100. 2 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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