Jihoon Ryoo
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Media Technology top 10%
- Aerospace Engineering
- Co-authors
- Samir R. DasMilind M. BuddhikotChang Wook KimAkshay AthalyeMilutin StanaćevićHwangnam KimAruna BalasubramanianYasha Karimi
- Topics
- Indoor and Outdoor Localization Technologies (8 papers)Image and Video Quality Assessment (7 papers)Visual Attention and Saliency Detection (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Networks and Communications
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Jihoon Ryoo
29 papers receiving 305 citations
Peers
Comparison fields: 5 of 53
- Electrical and Electronic Engineering 170
- Computer Vision and Pattern Recognition 114
- Computer Networks and Communications 99
- Media Technology 46
- Aerospace Engineering 33
Countries citing papers authored by Jihoon Ryoo
This map shows the geographic impact of Jihoon Ryoo'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 Ryoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jihoon Ryoo more than expected).
Fields of papers citing papers by Jihoon Ryoo
This network shows the impact of papers produced by Jihoon Ryoo. 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 Ryoo. The network helps show where Jihoon Ryoo may publish in the future.
Co-authorship network of co-authors of Jihoon Ryoo
This figure shows the co-authorship network connecting the top 25 collaborators of Jihoon Ryoo. A scholar is included among the top collaborators of Jihoon Ryoo 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 Jihoon Ryoo. Jihoon Ryoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 41 | |
| 13 | Improving User Perceived Page Load Times Using Gaze | 40 |
| 14 | 1 | |
| 15 | 28 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | ULTRATHIN, HYPERELASTIC PDMS NANO MEMBRANE : FABRICATION AND CHARACTERIZATION | 4 |
| 19 | Determining Information-Exchange Period for Mobile Nodes in Multi-Hop Wireless Ad Hoc Networks | 1 |
| 20 | 6 |
About Jihoon Ryoo
Jihoon Ryoo is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 34 papers that have together received 315 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Image and Video Quality Assessment (7 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Media Technology (46 citations) and Computer Networks and Communications (99 citations). Jihoon Ryoo has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Samir R. Das, Milind M. Buddhikot, Chang Wook Kim, Akshay Athalye, Milutin Stanaćević, Hwangnam Kim, Aruna Balasubramanian, Yasha Karimi, Petar M. Djurić and Dimitris Samaras. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Sensors Journal.
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.