Dal Ho Kim

780 citations
68 papers · 546 · h-index 10

Impact in

Papers in

Dal Ho Kim

54 papers receiving 510 citations

Peers

Dal Ho Kim
Comparison fields: 5 of 98
  • Statistics and Probability 93
  • Nephrology 40
  • Management Science and Operations Research 47
  • Immunology 74
  • Statistics, Probability and Uncertainty 21
Replace Xiaojuan Li with:
Xiaojuan Li United States
Kevin J. Carroll United Kingdom
Gaohong Dong United States
Ieuan Jones United Kingdom
Nicole Blackman United States
Lisa G. Ensign United States
Iwona Malinowska Poland
Jamal A. Al-Saleh United Arab Emirates
Margaret Gamalo United States
JP Klein United States
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Citations per field
00.5×3.6×
Xiaojuan Li · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008217
2 199671
3 201827
4
Useful predictive factors of common bile duct stones prior to laparoscopic cholecystectomy for gallstones.
200623
5 201022
6 200820
7 199615
8 201914
9 200712
10 20199
11 20188
12 20126
13 20165
14
Transradial approach for partial splenic embolization in patients with hypersplenism.
20075
15 20115
16 20135
17
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
19944
18 20204
19 20194
20 20194

About Dal Ho Kim

Dal Ho Kim is a scholar working on Statistics and Probability, Management Science and Operations Research, Surgery, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 546 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (13 papers), Statistical Distribution Estimation and Applications (12 papers), Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Process Monitoring (6 papers), Economic and Environmental Valuation (5 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Statistics and Probability (93 citations), Nephrology (40 citations), Management Science and Operations Research (47 citations), Immunology (74 citations) and Statistics, Probability and Uncertainty (21 citations). Dal Ho Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Malay Ghosh, Narinder Nangia, Teruhiko Yoshida, Hiroki Sasaki, Hiromi Sakamoto, Kazuyoshi Yanagihara, Megumi Sato, Kenji Ogawa, Norihisa Saeki and Kazuhiko Aoyagi. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of Statistical Computation and Simulation, Journal of the American Statistical Association, Transplantation and Statistical Papers.

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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