Jeonghwan Gwak
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Neurology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 10%
- Co-authors
- Jaeyong KangZahid UllahThi Kieu Khanh HoMoongu JeonMuhammad UsmanNaeem JanHarish GargKwang Mong Sim
- Topics
- Multi-Criteria Decision Making (21 papers)Video Surveillance and Tracking Methods (17 papers)Fuzzy and Soft Set Theory (12 papers)
- Partner nations
- South KoreaPakistanIndia
In The Last Decade
Jeonghwan Gwak
124 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 683
- Artificial Intelligence 664
- Neurology 542
- Radiology, Nuclear Medicine and Imaging 523
- Biomedical Engineering 330
Countries citing papers authored by Jeonghwan Gwak
This map shows the geographic impact of Jeonghwan Gwak'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 Jeonghwan Gwak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeonghwan Gwak more than expected).
Fields of papers citing papers by Jeonghwan Gwak
This network shows the impact of papers produced by Jeonghwan Gwak. 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 Jeonghwan Gwak. The network helps show where Jeonghwan Gwak may publish in the future.
Co-authorship network of co-authors of Jeonghwan Gwak
This figure shows the co-authorship network connecting the top 25 collaborators of Jeonghwan Gwak. A scholar is included among the top collaborators of Jeonghwan Gwak 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 Jeonghwan Gwak. Jeonghwan Gwak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 19 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 17 | |
| 16 | 20 | |
| 17 | 26 | |
| 18 | Bayesian Learning based Negotiation Agents for Supporting Negotiation with Incomplete Information | 13 |
| 19 | Co-evolving Best Response Strategies for P-S-Optimizing Negotiation using Evolutionary Algorithms | 2 |
| 20 | Finding near-optimal strategies for negotiation with incomplete information using a diversity controlling EDA | 3 |
About Jeonghwan Gwak
Jeonghwan Gwak is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Artificial Intelligence, having authored 128 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (21 papers), Video Surveillance and Tracking Methods (17 papers) and Fuzzy and Soft Set Theory (12 papers). The work is most often cited by research in Neurology (542 citations), Computer Vision and Pattern Recognition (683 citations) and Health Informatics (34 citations). Jeonghwan Gwak has collaborated with scholars based in South Korea, Pakistan and India. Frequent co-authors include Jaeyong Kang, Zahid Ullah, Thi Kieu Khanh Ho, Moongu Jeon, Muhammad Usman, Naeem Jan, Harish Garg, Kwang Mong Sim, Jeong-Seon Park and Ramesh Kumar Lama. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Scientific Reports.
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.