Dani Gamerman

5.7k total citations · 2 hit papers
71 papers, 3.8k citations indexed

About

Dani Gamerman is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Dani Gamerman has authored 71 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Statistics and Probability, 18 papers in Economics and Econometrics and 13 papers in Management Science and Operations Research. Recurrent topics in Dani Gamerman's work include Statistical Methods and Bayesian Inference (16 papers), Spatial and Panel Data Analysis (15 papers) and Statistical Methods and Inference (15 papers). Dani Gamerman is often cited by papers focused on Statistical Methods and Bayesian Inference (16 papers), Spatial and Panel Data Analysis (15 papers) and Statistical Methods and Inference (15 papers). Dani Gamerman collaborates with scholars based in Brazil, United States and United Kingdom. Dani Gamerman's co-authors include Robert L. Strawderman, Hedibert F. Lopes, Hélio S. Migon, Francisco Louzada, Esther Salazar, Sudipto Banerjee, Alan E. Gelfand, Ajax Reynaldo Bello Moreira, Håvard Rue and Fernando Ferraz do Nascimento and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Technometrics.

In The Last Decade

Dani Gamerman

67 papers receiving 3.6k citations

Hit Papers

Markov Chain Monte Carlo: Stochastic Simulation for Bayes... 2000 2026 2008 2017 2000 2006 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference
    2000 1.3k citations Dani Gamerman et al. profile →
  2. Markov Chain Monte Carlo
    2006 737 citations Dani Gamerman, Hedibert F. Lopes profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dani Gamerman Brazil 23 1.3k 851 633 427 422 71 3.8k
Jennifer A. Hoeting United States 22 1.1k 0.9× 813 1.0× 698 1.1× 534 1.3× 706 1.7× 54 5.2k
Jeffrey S. Simonoff United States 31 2.1k 1.7× 1.1k 1.3× 721 1.1× 320 0.7× 387 0.9× 125 6.1k
Hans R. Künsch Switzerland 30 1.2k 0.9× 682 0.8× 714 1.1× 451 1.1× 784 1.9× 66 4.2k
David S. Stoffer United States 31 662 0.5× 1.3k 1.6× 957 1.5× 520 1.2× 636 1.5× 67 7.7k
Mia Hubert Belgium 39 2.0k 1.6× 962 1.1× 465 0.7× 294 0.7× 233 0.6× 115 6.1k
Karen Kafadar United States 25 915 0.7× 604 0.7× 405 0.6× 217 0.5× 314 0.7× 118 4.4k
Khosrow Dehnad United States 7 632 0.5× 749 0.9× 543 0.9× 264 0.6× 430 1.0× 12 4.3k
Brian D. Marx United States 29 1.7k 1.3× 531 0.6× 473 0.7× 344 0.8× 374 0.9× 82 5.2k
B. W. Silverman United Kingdom 24 2.8k 2.2× 1.4k 1.7× 540 0.9× 424 1.0× 324 0.8× 40 7.4k
Edward Greenberg United States 21 1.3k 1.0× 892 1.0× 1.2k 1.9× 178 0.4× 223 0.5× 60 4.7k

Countries citing papers authored by Dani Gamerman

Since Specialization
Citations

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

Fields of papers citing papers by Dani Gamerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dani Gamerman

This figure shows the co-authorship network connecting the top 25 collaborators of Dani Gamerman. A scholar is included among the top collaborators of Dani Gamerman 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 Dani Gamerman. Dani Gamerman 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.
Gamerman, Dani, et al.. (2017). Differential Item Functioning. 1 indexed citations
2.
Nascimento, Fernando Ferraz do, Dani Gamerman, & Hedibert F. Lopes. (2015). Time-varying extreme pattern with dynamic models. Test. 25(1). 131–149. 16 indexed citations
3.
4.
Gamerman, Dani, et al.. (2012). State space models with spatial deformation. Environmental and Ecological Statistics. 20(2). 191–214. 10 indexed citations
5.
Quirós, Alicia, et al.. (2009). Bayesian spatiotemporal model of fMRI data. NeuroImage. 49(1). 442–456. 22 indexed citations
6.
Soares, Tufi Machado, et al.. (2009). An Integrated Bayesian Model for DIF Analysis. Journal of Educational and Behavioral Statistics. 34(3). 348–377. 34 indexed citations
7.
Bastos, Leonardo Soares & Dani Gamerman. (2006). Dynamic survival models with spatial frailty. Lifetime Data Analysis. 12(4). 441–460. 22 indexed citations
8.
Kim, Sungduk, Ming‐Hui Chen, Dipak K. Dey, & Dani Gamerman. (2006). Bayesian dynamic models for survival data with a cure fraction. Lifetime Data Analysis. 13(1). 17–35. 32 indexed citations
9.
Pinheiro, Rejane Sobrino, Cláudia Travassos, & Dani Gamerman. (2006). Desigualdade no tratamento à fratura proximal de fêmur no Rio de Janeiro. Revista Brasileira de Epidemiologia. 9(3). 374–383. 2 indexed citations
10.
Gamerman, Dani & Ajax Reynaldo Bello Moreira. (2004). Multivariate spatial regression models. Journal of Multivariate Analysis. 91(2). 262–281.
11.
Lopes, Hedibert F., et al.. (2004). Bayesian analysis of extreme events with threshold estimation. Statistical Modelling. 4(3). 227–244. 139 indexed citations
12.
Gamerman, Dani, et al.. (2004). Bayesian Modeling of Joint Regressions for the Mean and Covariance Matrix. Biometrical Journal. 46(4). 430–440. 9 indexed citations
13.
Gamerman, Dani, et al.. (2003). Study of the space–time effects in the concentration of airborne pollutants in the Metropolitan Region of Rio de Janeiro. Environmetrics. 14(4). 387–408. 5 indexed citations
14.
Gamerman, Dani & Ajax Reynaldo Bello Moreira. (2002). BAYESIAN ANALYSIS OF ECONOMETRIC TIME SERIES MODELS USING HYBRID INTEGRATION RULES. Communication in Statistics- Theory and Methods. 31(1). 49–72. 6 indexed citations
15.
Moreira, Ajax Reynaldo Bello & Dani Gamerman. (2001). Bayesian Analysis of Econometric Time Series Models Using Hybrid Integration Rules. Econstor (Econstor). 1 indexed citations
16.
Gamerman, Dani, et al.. (2000). Dynamic hierarchical models: an extension to matrix-variate observations. Computational Statistics & Data Analysis. 35(1). 11–42. 8 indexed citations
17.
Schmidt, Alexandra M., Dani Gamerman, & Ajax Reynaldo Bello Moreira. (1999). An adaptive resampling scheme for cycle estimation. Journal of Applied Statistics. 26(5). 619–641. 9 indexed citations
18.
Migon, Hélio S., Dani Gamerman, & Francisco Louzada. (1999). Statistical inference : an integrated approach. CERN Bulletin. 137 indexed citations
19.
Gamerman, Dani. (1998). Markov chain Monte Carlo for dynamic generalised linear models. Biometrika. 85(1). 215–227. 100 indexed citations
20.
Gamerman, Dani & Mike West. (1987). An Application of Dynamic Survival Models in Unemployment Studies. Journal of the Royal Statistical Society Series D (The Statistician). 36(2/3). 269–269. 27 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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