Jeongmin Park
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Ahmad JalalSuliman A. AlsuhibanyYazeed Yasin GhadiMohammad ShorfuzzamanEdwin Valarezo AñazcoSeung‐Moo HanTae‐Seong KimPatricio Rivera
- Topics
- Video Surveillance and Tracking Methods (27 papers)Advanced Software Engineering Methodologies (17 papers)Human Pose and Action Recognition (15 papers)
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Jeongmin Park
84 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 694
- Artificial Intelligence 472
- Radiology, Nuclear Medicine and Imaging 218
- Biomedical Engineering 141
- Computer Networks and Communications 111
Countries citing papers authored by Jeongmin Park
This map shows the geographic impact of Jeongmin Park'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 Jeongmin Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeongmin Park more than expected).
Fields of papers citing papers by Jeongmin Park
This network shows the impact of papers produced by Jeongmin Park. 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 Jeongmin Park. The network helps show where Jeongmin Park may publish in the future.
Co-authorship network of co-authors of Jeongmin Park
This figure shows the co-authorship network connecting the top 25 collaborators of Jeongmin Park. A scholar is included among the top collaborators of Jeongmin Park 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 Jeongmin Park. Jeongmin Park 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 | 0 | |
| 4 | 0 | |
| 5 | 37 | |
| 6 | 48 | |
| 7 | 31 | |
| 8 | 72 | |
| 9 | 6 | |
| 10 | 25 | |
| 11 | 14 | |
| 12 | 10 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | An Automatic Code Generation for Self-Healing * | 9 |
| 20 | The Processes and Factors of Innovation Strategy For Korean Hospitals | 1 |
About Jeongmin Park
Jeongmin Park is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (27 papers), Advanced Software Engineering Methodologies (17 papers) and Human Pose and Action Recognition (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (694 citations), Human-Computer Interaction (82 citations) and Artificial Intelligence (472 citations). Jeongmin Park has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Ahmad Jalal, Suliman A. Alsuhibany, Ahmad Jalal, Yazeed Yasin Ghadi, Mohammad Shorfuzzaman, Edwin Valarezo Añazco, Seung‐Moo Han, Tae‐Seong Kim, Patricio Rivera and Mohammed A. Al‐masni. Their work appears in journals such as IEEE Access, Remote Sensing and Applied Sciences.
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.