Adriano K. Suzuki

529 citations
55 papers · 294 indexed · h-index 10

Adriano K. Suzuki

47 papers receiving 283 citations

Peers

Adriano K. Suzuki
Comparison fields: 5 of 85
  • Statistics and Probability 232
  • Statistics, Probability and Uncertainty 86
  • Management Science and Operations Research 37
  • Finance 30
  • Safety, Risk, Reliability and Quality 25
Replace Manoel Santos‐Neto with:
Manoel Santos‐Neto Brazil
C. Satheesh Kumar India
Ramy Aldallal Saudi Arabia
Okechukwu J. Obulezi Nigeria
Kadir Karakaya Türkiye
Mansour Aghababaei Jazi Iran
Pedro Rafael Diniz Marinho Brazil
A. H. El-Bassiouny Egypt
Aisha Fayomi Saudi Arabia
Naif Alotaibi Saudi Arabia
Adriano K. Suzuki relative to Manoel Santos‐Neto Brazil Manoel Santos‐Neto's profile →
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Citations per year

Countries citing papers authored by Adriano K. Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Adriano K. Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adriano K. Suzuki. 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 Adriano K. Suzuki. The network helps show where Adriano K. Suzuki may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Adriano K. Suzuki, 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 Adriano K. Suzuki Line = papers co-authored together Adriano K. Suzuki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20212
2 20212
3 20201
4 20200
5 20192
6 20199
7 20191
8 20199
9 20189
10 201871
11 20183
12
UMA ABORDAGEM BAYESIANA PARA PREVISÃO DE RESULTADOS DE JOGOS DE FUTEBOL: UMA APLICAÇÃO AO CAMPEONATO INGLÊS
20170
13
Uma abordagem bayesiana para o modelo de sobrevivência bivariado derivado da cópula AMH
20171
14
Bayesian computational methods for estimation of two-parameters Weibull distribution in presence of right-censored data
20176
15 20172
16 20162
17 20154
18 20145
19 201314
20
The FGM bivariate lifetime copula model: a bayesian approach
20113

About Adriano K. Suzuki

Adriano K. Suzuki is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 55 papers that have together received 294 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (28 papers), Statistical Methods and Bayesian Inference (26 papers), Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Inference (18 papers), Sports Analytics and Performance (5 papers), Probabilistic and Robust Engineering Design (4 papers), Statistical Methods in Clinical Trials (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics and Probability (232 citations), Statistics, Probability and Uncertainty (86 citations) and Management Science and Operations Research (37 citations). Adriano K. Suzuki has collaborated with scholars based in Brazil, United States and Egypt. Frequent co-authors include Gauss M. Cordeiro, Edwin M. M. Ortega, Ahmed Z. Afify, Francisco Louzada, Vicente G. Cancho, Jorge L. Bazán, Gladys D. C. Barriga, Elizabeth M. Hashimoto, Nadeem Shafique Butt and Luís Aparecido Milan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational and Applied Mathematics and Biological Trace Element Research.

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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