Jai Won Choi

454 total citations
23 papers, 321 citations indexed

About

Jai Won Choi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jai Won Choi has authored 23 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Jai Won Choi's work include Statistical Methods and Bayesian Inference (15 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Jai Won Choi is often cited by papers focused on Statistical Methods and Bayesian Inference (15 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Jai Won Choi collaborates with scholars based in United States, South Korea and Cyprus. Jai Won Choi's co-authors include Balgobin Nandram, Tae Jong Lee, Ki‐Bok Min, Hannes Hofmann, Kwang‐Il Kim, Falko Bethmann, Günter Zimmermann, Maria Leonhardt, Patricia Martínez‐Garzón and Kwang Yeom Kim and has published in prestigious journals such as Journal of the American Statistical Association, Renewable and Sustainable Energy Reviews and Statistics in Medicine.

In The Last Decade

Jai Won Choi

22 papers receiving 299 citations

Peers

Jai Won Choi
Comparison fields: 5 of 73
  • Statistics and Probability 112
  • Geophysics 108
  • Mechanical Engineering 73
  • Artificial Intelligence 71
  • Mechanics of Materials 52
Replace S. Kaplan with:
S. Kaplan United States
Beata Orlecka‐Sikora Poland
Luca de Sanctis Italy
Jiandong Ren Canada
Hans Petter Lohne Norway
Rustem V. Shaikhutdinov United States
Chukwuebuka C. Nweke United States
James Bean United States
F. J. T. Floris Netherlands
Tero Saarno Finland
S. Kaplan United States View profile →
Citations per field, relative to Jai Won Choi
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Citations per year, relative to Jai Won Choi
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Countries citing papers authored by Jai Won Choi

Since Specialization
Citations

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

Fields of papers citing papers by Jai Won Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai Won Choi. 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 Jai Won Choi. The network helps show where Jai Won Choi may publish in the future.

Co-authorship network of co-authors of Jai Won Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jai Won Choi. A scholar is included among the top collaborators of Jai Won Choi 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 Jai Won Choi. Jai Won Choi 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
# Work Indexed citations
1 1
2 1
3 3
4 0
5 108
6 53
7 4
8 8
9 13
10 23
11 7
12 7
13 3
14 5
15
SIMULTANEOUS CONCENTRATION BANDS FOR CONTINUOUS RANDOM SAMPLES
1
16 6
17 12
18 17
19 36
20
Out-of-pocket cost and acquisition of prescribed medicines: United States, 1973.
5

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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