Won Chul Kim

676 citations
14 papers · 397 · h-index 9

Impact in

Papers in

Won Chul Kim

13 papers receiving 353 citations

Peers

Won Chul Kim
Comparison fields: 5 of 74
  • Human-Computer Interaction 127
  • Artificial Intelligence 147
  • Software 17
  • Information Systems and Management 25
  • Computer Vision and Pattern Recognition 64
Replace Vinod Anupam with:
Vinod Anupam United States
David A. Carr Sweden
J. Robert Ensor United States
Dominique Decouchant Mexico
Ernst A. Heinz Switzerland
Peter Ørbæk Denmark
Sebastiano Pizzutilo Italy
Tim Clerckx Belgium
Mary Campione
Florian Fittkau Germany
Won Chul Kim relative to Vinod Anupam United States Vinod Anupam's profile →
Citations per field
00.5×10×15×
Vinod Anupam · 1×
Citations per year

Countries citing papers authored by Won Chul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Chul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Won Chul 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 Won Chul Kim Line = papers co-authored together Won Chul Kim links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201589
2 199379
3 198954
4 199554
5 199051
6 201325
7 199518
8 201513
9 19878
10
Knowledge-based framework for an automated user interface presentation design tool
19933
11 20161
12 19871
13
ICL: The Image Composition Language
19861
14
H∞ Controller Design Via LQ Game Problem For Discrete Time Systems
19900

About Won Chul Kim

Won Chul Kim is a scholar working on Artificial Intelligence, Human-Computer Interaction, Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 397 indexed citations. Recurring topics across this work include Usability and User Interface Design (3 papers), Semantic Web and Ontologies (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Control Systems Optimization (1 paper), Product Development and Customization (1 paper), Fuzzy Logic and Control Systems (1 paper), Augmented Reality Applications (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Human-Computer Interaction (127 citations), Artificial Intelligence (147 citations), Software (17 citations), Information Systems and Management (25 citations) and Computer Vision and Pattern Recognition (64 citations). Won Chul Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include James D. Foley, Min Song, Da-Hee Lee, Wook Hyun Кwon, Go Eun Heo, Sang Chul Ahn, Kevin A. Murray, Srdjan Kovačevic, Kun Chang Lee and Andreas Charidimou. Their work appears in journals such as IEEE Computer Graphics and Applications, Fuzzy Sets and Systems, Supportive Care in Cancer, Journal of Biomedical Informatics and IEEE Software.

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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