Jorge L. Bazán

956 citations
59 papers · 593 indexed · h-index 14
Topics
Statistical Methods and Bayesian Inference (23 papers)Statistical Distribution Estimation and Applications (15 papers)Advanced Statistical Methods and Models (14 papers)
Partner nations
BrazilPeruUnited States

In The Last Decade

Jorge L. Bazán

51 papers receiving 572 citations

Peers

Jorge L. Bazán
Comparison fields: 5 of 88
  • Statistics and Probability 409
  • Artificial Intelligence 124
  • Management Science and Operations Research 120
  • Statistics, Probability and Uncertainty 66
  • Education 62
Replace Wicher Bergsma with:
Wicher Bergsma United Kingdom
Andreas Alfons Netherlands
Tamás Rudas Hungary
Steffen Grønneberg Norway
C. David Vale United States
Sik‐Yum Lee Hong Kong
Ruggero Bellio Italy
Hong-Tu Zhu Hong Kong
Jiajuan Liang United States
Cristina Davino Italy
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Citations per field
00.5×6.2×
Wicher Bergsma · 1×
Citations per year

Countries citing papers authored by Jorge L. Bazán

Since Specialization
Citations

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

Fields of papers citing papers by Jorge L. Bazán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge L. Bazán. 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 Jorge L. Bazán. The network helps show where Jorge L. Bazán may publish in the future.

Co-authorship network of co-authors of Jorge L. Bazán

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge L. Bazán. A scholar is included among the top collaborators of Jorge L. Bazán 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 Jorge L. Bazán. Jorge L. Bazán 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 2
6 3
7 5
8 11
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10 13
11 9
12 15
13 9
14 4
15 13
16
Un estudio comparativo de las actitudes hacia la estadística en profesores españoles y peruanos
2
17 34
18 11
19 3
20 68

About Jorge L. Bazán

Jorge L. Bazán is a scholar working on Statistics and Probability, Management Science and Operations Research and General Decision Sciences, having authored 59 papers that have together received 593 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (23 papers), Statistical Distribution Estimation and Applications (15 papers) and Advanced Statistical Methods and Models (14 papers). The work is most often cited by research in Statistics and Probability (409 citations), Management Science and Operations Research (120 citations) and Statistics, Probability and Uncertainty (66 citations). Jorge L. Bazán has collaborated with scholars based in Brazil, Peru and United States. Frequent co-authors include Heleno Bolfarine, Márcia D. Branco, Artur J. Lemonte, Catalina Beatriz García García, Mário de Castro, Josemar Rodrigues, N. Balakrishnan, Dipak K. Dey, Vicente G. Cancho and Adriano K. Suzuki. Their work appears in journals such as SHILAP Revista de lepidopterología, Educational and Psychological Measurement and Computational Statistics & Data Analysis.

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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