Jihoon Kim

10.5k citations
50 papers · 1.9k indexed · h-index 20

Impact in

Papers in

Jihoon Kim

47 papers receiving 1.8k citations

Peers

Jihoon Kim
Comparison fields: 5 of 151
  • Health Informatics 43
  • Cancer Research 311
  • Nephrology 125
  • Health Information Management 74
  • Oncology 409
Replace Naoki Nakashima with:
Naoki Nakashima Japan
Mikael Lundin Finland
Eoin McKinney United Kingdom
Hyungjin Kim South Korea
R. Beuscart France
Michael J. Becich United States
Charlotta Lindvall United States
Maria Fiammetta Romano Italy
Nilamadhab Mishra India
Lucia Sacchi Italy
Jihoon Kim relative to Naoki Nakashima Japan Naoki Nakashima's profile →
Citations per field
00.5×4.3×
Naoki Nakashima · 1×
Citations per year

Countries citing papers authored by Jihoon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jihoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20236
3 20231
4 20222
5 202213
6 20223
7 202218
8 202138
9 20213
10 20201
11 201763
12 201668
13 201330
14 201219
15 2011322
16 201111
17 2011395
18 201014
19
Nonparametric homogeneity tests of two distributions for credit rating model validation
20091
20
Applying Ubi-SERVQUAL to Assessing the Quality of Ubiquitous Service Scenarios
20071

About Jihoon Kim

Jihoon Kim is a scholar working on Statistics and Probability, Health Information Management, Psychiatry and Mental health, Neurology and Cancer Research, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Statistical Methods and Inference (5 papers), Genomics and Rare Diseases (4 papers), Global Cancer Incidence and Screening (4 papers), Machine Learning in Healthcare (4 papers), Ethics in Clinical Research (4 papers), Cancer Genomics and Diagnostics (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Health Informatics (43 citations), Cancer Research (311 citations), Nephrology (125 citations), Health Information Management (74 citations) and Oncology (409 citations). Jihoon Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Lucila Ohno‐Machado, Jing Yang, Xiaoqian Jiang, Mark A. Eckert, Thinzar M. Lwin, Andrew Chang, Etienne Danis, Esmeralda Casas-Silva, Andrés Bendesky and Cecily J. Wolfe. Their work appears in journals such as Journal of the American Medical Informatics Association, PLoS ONE, Scientific Reports, Bioinformatics and Cancer Research.

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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