Insung Ihm
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Sanghun ParkChandrajit BajajJung-Heum ParkChanderjit L. BajajJoe WarrenSanghoon ParkWontae KimYoungwook Kim
- Topics
- Computer Graphics and Visualization Techniques (43 papers)Advanced Vision and Imaging (30 papers)Computational Geometry and Mesh Generation (15 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- South KoreaUnited States
In The Last Decade
Insung Ihm
56 papers receiving 691 citations
Peers
Comparison fields: 5 of 71
- Computer Graphics and Computer-Aided Design 450
- Computer Vision and Pattern Recognition 352
- Computational Mechanics 286
- Computer Networks and Communications 126
- Computational Theory and Mathematics 104
Countries citing papers authored by Insung Ihm
This map shows the geographic impact of Insung Ihm'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 Insung Ihm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insung Ihm more than expected).
Fields of papers citing papers by Insung Ihm
This network shows the impact of papers produced by Insung Ihm. 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 Insung Ihm. The network helps show where Insung Ihm may publish in the future.
Co-authorship network of co-authors of Insung Ihm
This figure shows the co-authorship network connecting the top 25 collaborators of Insung Ihm. A scholar is included among the top collaborators of Insung Ihm 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 Insung Ihm. Insung Ihm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 12 | |
| 12 | 15 | |
| 13 | Analysis of Programming Techniques for Creating Optimized CUDA Software | 3 |
| 14 | 13 | |
| 15 | 12 | |
| 16 | 26 | |
| 17 | 10 | |
| 18 | 47 | |
| 19 | Controllable local monotonic cubic interpolation in fluid animations: Natural Phenomena and Special Effects | 2 |
| 20 | 11 |
About Insung Ihm
Insung Ihm is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 63 papers that have together received 759 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (43 papers), Advanced Vision and Imaging (30 papers) and Computational Geometry and Mesh Generation (15 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (450 citations), Computer Vision and Pattern Recognition (352 citations) and Computational Mechanics (286 citations). Insung Ihm has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sanghun Park, Chandrajit Bajaj, Jung-Heum Park, Chanderjit L. Bajaj, Joe Warren, Sanghoon Park, Wontae Kim, Youngwook Kim, Wonjong Lee and Joo Ho Lee. Their work appears in journals such as IEEE Access, Sensors and ACM Transactions on Graphics.
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.