Pedro Puig

2.0k total citations
86 papers, 1.3k citations indexed

About

Pedro Puig is a scholar working on Statistics and Probability, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Pedro Puig has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 16 papers in Cancer Research. Recurrent topics in Pedro Puig's work include Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (17 papers) and Carcinogens and Genotoxicity Assessment (15 papers). Pedro Puig is often cited by papers focused on Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (17 papers) and Carcinogens and Genotoxicity Assessment (15 papers). Pedro Puig collaborates with scholars based in Spain, Germany and United States. Pedro Puig's co-authors include Jordi Valero, Michael A. Stephens, David Moriña, Joan del Castillo, Joan Francesc Barquinero, Elizabeth A. Ainsbury, Amanda Fernández‐Fontelo, Eva Castells, Jesús Gómez-Catalán and Marta Pérez‐Casany and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Pedro Puig

81 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Puig Spain 23 393 171 170 136 133 86 1.3k
Dirk Eddelbuettel United States 13 422 1.1× 36 0.2× 496 2.9× 305 2.2× 28 0.2× 33 1.9k
Daniel W. Schafer United States 22 529 1.3× 82 0.5× 154 0.9× 507 3.7× 72 0.5× 42 2.5k
David M. Giltinan United States 19 984 2.5× 31 0.2× 266 1.6× 330 2.4× 67 0.5× 29 2.7k
Romain François France 5 205 0.5× 17 0.1× 235 1.4× 185 1.4× 23 0.2× 11 1.2k
Henry Mwambi South Africa 21 91 0.2× 45 0.3× 128 0.8× 119 0.9× 16 0.1× 116 1.7k
Dorothy A. Anderson Australia 12 481 1.2× 22 0.1× 198 1.2× 75 0.6× 44 0.3× 16 1.7k
Micha Mandel Israel 21 228 0.6× 37 0.2× 53 0.3× 285 2.1× 36 0.3× 71 2.5k
Gustavo de los Campos United States 43 60 0.2× 207 1.2× 79 0.5× 753 5.5× 100 0.8× 86 9.2k
Clarice Garcia Borges Demétrio Brazil 26 1.0k 2.6× 10 0.1× 330 1.9× 469 3.4× 65 0.5× 144 3.3k
Ying Huang United States 32 494 1.3× 150 0.9× 129 0.8× 476 3.5× 42 0.3× 146 3.2k

Countries citing papers authored by Pedro Puig

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Puig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Puig

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Puig. A scholar is included among the top collaborators of Pedro Puig 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 Pedro Puig. Pedro Puig 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.
Agis, David, et al.. (2024). good: An R package for modelling count data. Methods in Ecology and Evolution. 15(12). 2192–2197. 1 indexed citations
2.
Endesfelder, David, Jochen Einbeck, Pedro Puig, et al.. (2023). Biodose Tools: an R shiny application for biological dosimetry. International Journal of Radiation Biology. 99(9). 1378–1390. 14 indexed citations
3.
Moriña, David, et al.. (2023). Estimated Covid-19 burden in Spain: ARCH underreported non-stationary time series. BMC Medical Research Methodology. 23(1). 75–75. 1 indexed citations
4.
López, Juan S., Mònica Pujol-Canadell, Pedro Puig, Gemma Armengol, & Joan Francesc Barquinero. (2023). Evaluation of γ-H2AX foci distribution among different peripheral blood mononucleated cell subtypes. International Journal of Radiation Biology. 99(10). 1550–1558.
5.
Castillo, Joan del & Pedro Puig. (2023). Distinguishing between a power law and a Pareto distribution. Physical review. E. 107(6). 64113–64113. 1 indexed citations
6.
López, Juan S., Mònica Pujol-Canadell, Pedro Puig, et al.. (2021). Establishment and validation of surface model for biodosimetry based on γ-H2AX foci detection. International Journal of Radiation Biology. 98(1). 1–10. 6 indexed citations
7.
Puig, Pedro, et al.. (2020). Computing probabilities of integer-valued random variables by recurrence relations. Statistics & Probability Letters. 161. 108719–108719. 1 indexed citations
8.
Fernández‐Fontelo, Amanda, et al.. (2020). Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case. PLoS ONE. 15(12). e0242956–e0242956. 10 indexed citations
9.
Fraile, Lorenzo, N. Fernández, Ramona N. Pena, et al.. (2020). A probabilistic Poisson-based model to detect PRRSV recirculation using sow production records. Preventive Veterinary Medicine. 177. 104948–104948. 6 indexed citations
10.
Moriña, David, J. I. Martí, Pedro Puig, & Mireia Díaz. (2020). Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer. BMC Medical Informatics and Decision Making. 20(1). 211–211. 1 indexed citations
11.
Fernández‐Fontelo, Amanda, et al.. (2019). Untangling serially dependent underreported count data for gender‐based violence. Statistics in Medicine. 38(22). 4404–4422. 26 indexed citations
12.
Kokonendji, Célestin C. & Pedro Puig. (2018). Fisher dispersion index for multivariate count distributions: A review and a new proposal. Journal of Multivariate Analysis. 165. 180–193. 21 indexed citations
13.
Alba, A., et al.. (2017). Influenza Herd-Level Prevalence and Seasonality in Breed-to-Wean Pig Farms in the Midwestern United States. Frontiers in Veterinary Science. 4. 167–167. 27 indexed citations
14.
Ainsbury, Elizabeth A., Volodymyr Vinnikov, Pedro Puig, et al.. (2013). Review of Bayesian statistical analysis methods for cytogenetic radiation biodosimetry, with a practical example. Radiation Protection Dosimetry. 162(3). 185–196. 18 indexed citations
15.
Caja, G., et al.. (2011). Retinal image recognition for verifying the identity of fattening and replacement lambs1. Journal of Animal Science. 89(8). 2603–2613. 8 indexed citations
16.
Solá, Montserrat, et al.. (2009). Estudio comparativo de la técnica del ganglio centinela entre los casos de carcinoma de mama multifocal y unifocal. Radiología. 51(2). 140–147. 2 indexed citations
17.
Puig, Pedro & Michael A. Stephens. (2007). Goodness of fit tests for the skew-Laplace distribution. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 31(1). 45–54. 4 indexed citations
18.
Castillo, Joan del & Pedro Puig. (1999). Invariant Exponential Models Applied to Reliability Theory and Survival Analysis. Journal of the American Statistical Association. 94(446). 522–528. 9 indexed citations
19.
Castillo, Joan del & Pedro Puig. (1999). The Best Test of Exponentiality against Singly Truncated Normal Alternatives. Journal of the American Statistical Association. 94(446). 529–532. 31 indexed citations
20.
Jordana, J., J. Piedrafita, Armand Sánchez, & Pedro Puig. (1992). Comparative F Statistics Analysis of the Genetic Structure of Ten Spanish Dog Breeds. Journal of Heredity. 83(5). 367–374. 28 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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