Dal Ho Kim

771 total citations
68 papers, 542 citations indexed

About

Dal Ho Kim is a scholar working on Statistics and Probability, Surgery and Management Science and Operations Research. According to data from OpenAlex, Dal Ho Kim has authored 68 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics and Probability, 16 papers in Surgery and 11 papers in Management Science and Operations Research. Recurrent topics in Dal Ho Kim's work include Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (13 papers). Dal Ho Kim is often cited by papers focused on Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (16 papers) and Advanced Statistical Methods and Models (13 papers). Dal Ho Kim collaborates with scholars based in South Korea, Japan and United States. Dal Ho Kim's co-authors include Malay Ghosh, Kazuyoshi Yanagihara, Hiroki Sasaki, Kenji Ogawa, Teruhiko Yoshida, Megumi Sato, Hiromi Sakamoto, Kazuhiko Aoyagi, Norihisa Saeki and Eun Jin Jang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Statistics in Medicine.

In The Last Decade

Dal Ho Kim

54 papers receiving 505 citations

Peers

Dal Ho Kim
Comparison fields: 5 of 104
  • Molecular Biology 192
  • Surgery 131
  • Pulmonary and Respiratory Medicine 98
  • Immunology 95
  • Statistics and Probability 93
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Citations per field, relative to Dal Ho Kim
Dal Ho Kim · 1×
Citations per year, relative to Dal Ho Kim
Dal Ho Kim · 1×

Countries citing papers authored by Dal Ho Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dal Ho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dal Ho Kim. 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 Dal Ho Kim. The network helps show where Dal Ho Kim may publish in the future.

Co-authorship network of co-authors of Dal Ho Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dal Ho Kim. A scholar is included among the top collaborators of Dal Ho Kim 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 Dal Ho Kim. Dal Ho Kim 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 3
2 4
3 8
4 5
5
Default Bayesian testing for the bivariate normal correlation coefficient
2
6
Objective Bayesian testing for the location parameters in the half-normal distributions
1
7 5
8
Default Bayesian testing for normal mean with known coefficient of variation
1
9
Semiparametric Bayesian estimation under functional measurement error model
2
10
1
11 21
12
An objective Bayesian analysis for multiple step stress accelerated life tests
2
13 20
14 216
15 2
16 2
17 1
18
QUANTITATIVE ANALYSIS OF TRACE PP'-DDE IN CORN OIL BY ISOTOPE DILUTION MASS SPECTROMETRY : UNCERTAINTY EVALUATIONS
3
19 71
20
A Rapid Method for Analysing Polycyclic Aromatic Hydrocarbons (PAH's) in Urban Dust Using Supercritical Fluid Extraction (SFE) and Gas Chromatography/Mass Spectrometry (GC/MS)허귀석, 김달호
4

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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