Jaemin Jo
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Human-Computer Interaction top 10%
Papers in
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- Data Visualization and Analytics 16
- Video Analysis and Summarization 4
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- Anomaly Detection Techniques and Applications 5
- Co-authors
- Jinwook Seo (19 shared papers)Sehi L’Yi (3 shared papers)Bohyoung Kim (7 shared papers)Bongshin Lee (5 shared papers)Jean‐Daniel Fekete (3 shared papers)Jonghun Park (1 shared paper)Kyunghan Lee (2 shared papers)Joohyun Lee (2 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (10 papers)Annals of Oncology (3 papers)Visual Informatics (2 papers)Knowledge-Based Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jaemin Jo
32 papers receiving 499 citations
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 206
- Human-Computer Interaction 46
- Computer Graphics and Computer-Aided Design 16
- Oncology 97
- Signal Processing 40
Countries citing papers authored by Jaemin Jo
This map shows the geographic impact of Jaemin Jo'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 Jaemin Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaemin Jo more than expected).
Fields of papers citing papers by Jaemin Jo
This network shows the impact of papers produced by Jaemin Jo. 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 Jaemin Jo. The network helps show where Jaemin Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaemin Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 78 | |
| 2 | 2014 | 50 | |
| 3 | 2011 | 31 | |
| 4 | 2013 | 29 | |
| 5 | 2020 | 29 | |
| 6 | 2016 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2013 | 26 | |
| 9 | 2021 | 21 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2015 | 17 | |
| 14 | 2017 | 15 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2019 | 10 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2021 | 8 |
About Jaemin Jo
Jaemin Jo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 36 papers that have together received 510 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Anomaly Detection Techniques and Applications (5 papers), Data Management and Algorithms (4 papers), Video Analysis and Summarization (4 papers), Multimedia Communication and Technology (3 papers), Time Series Analysis and Forecasting (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Green IT and Sustainability (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Human-Computer Interaction (46 citations), Computer Graphics and Computer-Aided Design (16 citations), Oncology (97 citations) and Signal Processing (40 citations). Jaemin Jo has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jinwook Seo, Sehi L’Yi, Bohyoung Kim, Bongshin Lee, Jean‐Daniel Fekete, Jonghun Park, Kyunghan Lee, Joohyun Lee, Ness B. Shroff and Sin‐Ho Jung. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Annals of Oncology, Visual Informatics, Knowledge-Based Systems and IEEE Access.
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.