Pedro Puig

2.0k citations
90 papers · 1.4k · h-index 23

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Inference
  • Finance top 5%
    • Financial Risk and Volatility Modeling

Papers in

Pedro Puig

86 papers receiving 1.3k citations

Peers

Pedro Puig
Comparison fields: 5 of 142
  • Statistics and Probability 405
  • Finance 128
  • Statistics, Probability and Uncertainty 87
  • Cancer Research 158
  • Management Science and Operations Research 104
Replace M. J. Faddy with:
M. J. Faddy Australia
Dirk Eddelbuettel United States
James G. Scott United States
J. K. Lindsey Belgium
Clarice Garcia Borges Demétrio Brazil
David M. Giltinan United States
Daniel W. Schafer United States
Romain François France
Xavier Bry France
Marco A. R. Ferreira United States
Pedro Puig relative to M. J. Faddy Australia M. J. Faddy's profile →
Citations per field
00.5×3.5×
M. J. Faddy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Pedro Puig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pedro Puig Line = papers co-authored together Pedro Puig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019113
2 200695
3 199367
4 200057
5 201148
6 201342
7 200339
8 199934
9 200732
10 200231
11 201530
12 201630
13 201729
14 201429
15 200129
16 199228
17 201927
18 201027
19 201524
20 201624

About Pedro Puig

Pedro Puig is a scholar working on Statistics and Probability, Artificial Intelligence, Cancer Research, Management Science and Operations Research and Finance, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (18 papers), Bayesian Methods and Mixture Models (18 papers), Carcinogens and Genotoxicity Assessment (14 papers), Statistical Methods and Bayesian Inference (11 papers), Radiation Effects and Dosimetry (8 papers), Financial Risk and Volatility Modeling (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (405 citations), Finance (128 citations), Statistics, Probability and Uncertainty (87 citations), Cancer Research (158 citations) and Management Science and Operations Research (104 citations). Pedro Puig has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Jordi Valero, Michael A. Stephens, David Moriña, Joan del Castillo, Joan Francesc Barquinero, Elizabeth A. Ainsbury, Marta Pérez‐Casany, Eva Castells, Raimón Guitart and Amanda Fernández‐Fontelo. Their work appears in journals such as Journal of the American Statistical Association, Biometrical Journal, International Journal of Radiation Biology, PLoS ONE and Scandinavian Journal of Statistics.

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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