Kio Kim

875 citations
20 papers · 668 · h-index 11

Impact in

Papers in

Kio Kim

20 papers receiving 662 citations

Peers

Kio Kim
Comparison fields: 5 of 65
  • Pediatrics, Perinatology and Child Health 535
  • Radiology, Nuclear Medicine and Imaging 229
  • Cognitive Neuroscience 84
  • Computer Vision and Pattern Recognition 72
  • Computational Mathematics 2
Replace Vanessa Kyriakopoulou with:
Vanessa Kyriakopoulou United Kingdom
Vidya Rajagopalan United States
Cédric Clouchoux France
Maria Kuklisova‐Murgasova United Kingdom
Clemente Velasco‐Annis United States
Sarah Sparrow United Kingdom
Rozalia Pataky United Kingdom
Laura Gui Switzerland
Pim Moeskops Netherlands
Ashley Rumple United States
Kio Kim relative to Vanessa Kyriakopoulou United Kingdom Vanessa Kyriakopoulou's profile →
Citations per field
00.5×1.5×
Vanessa Kyriakopoulou · 1×
Citations per year

Countries citing papers authored by Kio Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kio Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Kio 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 Kio Kim Line = papers co-authored together Kio Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011124
2 2010121
3 201186
4 201075
5 201146
6 201242
7 201135
8 201224
9 201124
10 200820
11 200913
12 20119
13 20059
14 20108
15 20098
16 20117
17 20106
18 20105
19 20084
20 20112

About Kio Kim

Kio Kim is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery, having authored 20 papers that have together received 668 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (16 papers), Advanced Neuroimaging Techniques and Applications (9 papers), Neonatal and fetal brain pathology (7 papers), Medical Image Segmentation Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), MRI in cancer diagnosis (2 papers), Prenatal Screening and Diagnostics (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (535 citations), Radiology, Nuclear Medicine and Imaging (229 citations), Cognitive Neuroscience (84 citations), Computer Vision and Pattern Recognition (72 citations) and Computational Mathematics (2 citations). Kio Kim has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Orit A. Glenn, Piotr A. Habas, Colin Studholme, A. James Barkovich, François Rousseau, Vidya Rajagopalan, Julia A. Scott, Duan Xu, Nicola Neretti and Nathan Intrator. Their work appears in journals such as NeuroImage, International Journal of Imaging Systems and Technology, IEEE Transactions on Medical Imaging, Journal of Neuroscience and The Cerebellum.

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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