Johan Lim

2.3k citations
143 papers · 1.6k indexed · h-index 23

Impact in

Papers in

Johan Lim

124 papers receiving 1.5k citations

Peers

Johan Lim
Comparison fields: 5 of 171
  • Statistics and Probability 404
  • Statistics, Probability and Uncertainty 148
  • Biochemistry 64
  • Complementary and Manual Therapy 19
  • Orthodontics 38
Replace Naisyin Wang with:
Naisyin Wang United States
Paul D. McNicholas Canada
Ricardo Cao Spain
Jayant V. Deshpandé India
E. Olusegun George United States
Hani Doss United States
Jie Peng China
Qingsong Xu China
Hyonho Chun United States
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Citations per field
00.5×9.5×
Naisyin Wang · 1×
Citations per year

Countries citing papers authored by Johan Lim

Since Specialization
Citations

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

Fields of papers citing papers by Johan Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012101
2 201794
3 201670
4 201069
5 201065
6 201146
7 201345
8 200842
9 201939
10 200639
11 201938
12 202237
13 201536
14 200735
15 201635
16 201932
17 201132
18 201128
19 200028
20 201626

About Johan Lim

Johan Lim is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Complementary and Manual Therapy, Orthodontics and Artificial Intelligence, having authored 143 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (35 papers), Statistical Methods and Bayesian Inference (25 papers), Advanced Statistical Methods and Models (24 papers), Bayesian Methods and Mixture Models (20 papers), Gene expression and cancer classification (19 papers), Statistical Distribution Estimation and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers) and Advanced Statistical Process Monitoring (11 papers). The work is most often cited by research in Statistics and Probability (404 citations), Statistics, Probability and Uncertainty (148 citations), Biochemistry (64 citations), Complementary and Manual Therapy (19 citations) and Orthodontics (38 citations). Johan Lim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Sung Won Kwon, Xinlei Wang, Jeong Hill Park, Donghyeon Yu, Jeongmi Lee, Lynne Stokes, Joong‐Ho Won, Bala Rajaratnam, Soohyun Ahn and Guanghua Xiao. Their work appears in journals such as Computational Statistics & Data Analysis, Scientific Reports, Journal of Statistical Planning and Inference, Biometrics and Journal of Statistical Computation and Simulation.

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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