Youngjo Lee

5.5k citations
192 papers · 3.6k · h-index 29

Impact in

Papers in

Youngjo Lee

182 papers receiving 3.5k citations

Peers

Youngjo Lee
Comparison fields: 5 of 193
  • Statistics and Probability 1.3k
  • Management Science and Operations Research 385
  • Statistics, Probability and Uncertainty 198
  • Demography 215
  • Economics and Econometrics 417
Replace Subir Ghosh with:
Subir Ghosh United States
Gerhard Tutz Germany
Wei‐Yin Loh United States
Johannes Ledolter United States
Bettina Grün Austria
Debajyoti Sinha United States
Brian M. Kleiner United States
Mei‐Ling Ting Lee United States
Chao‐Ying Joanne Peng United States
Hamparsum Bozdogan United States
Youngjo Lee relative to Subir Ghosh United States Subir Ghosh's profile →
Citations per field
00.5×2.9×
Subir Ghosh · 1×
Citations per year

Countries citing papers authored by Youngjo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngjo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood
2006286
2 2006254
3 2006148
4 2004139
5 2020131
6 2017101
7 201897
8 201894
9 201391
10 202189
11 201388
12 200769
13 200865
14 200365
15 201464
16 201162
17 201651
18 200350
19 202046
20 201740

About Youngjo Lee

Youngjo Lee is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics and Environmental Engineering, having authored 192 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (70 papers), Statistical Methods and Bayesian Inference (67 papers), Advanced Statistical Methods and Models (29 papers), Bayesian Methods and Mixture Models (14 papers), Optimal Experimental Design Methods (12 papers), Insurance, Mortality, Demography, Risk Management (12 papers), Soil Geostatistics and Mapping (11 papers) and Genetic and phenotypic traits in livestock (10 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Management Science and Operations Research (385 citations), Statistics, Probability and Uncertainty (198 citations), Demography (215 citations) and Economics and Econometrics (417 citations). Youngjo Lee has collaborated with scholars based in South Korea, United Kingdom and Sweden. Frequent co-authors include J. A. Nelder, Yudi Pawitan, Il Do Ha, Maengseok Noh, Donghwan Lee, Rezzy Eko Caraka, Woojoo Lee, Toni Toharudin, Dai‐Jin Kim and Rung-Ching Chen. Their work appears in journals such as Computational Statistics & Data Analysis, Statistical Methods in Medical Research, Statistics in Medicine, Journal of Multivariate Analysis and Statistics and Computing.

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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