Heung-Nam Kim
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Abdulmotaleb El SaddikGeun‐Sik JoInay HaAbdulmotaleb El-SaddikChansu YuMajdi RawashdehM.J. IrwinAbdullah Alghamdi
- Topics
- Recommender Systems and Techniques (16 papers)Complex Network Analysis Techniques (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Partner nations
- CanadaSouth KoreaUnited States
In The Last Decade
Heung-Nam Kim
41 papers receiving 708 citations
Peers
Comparison fields: 5 of 81
- Information Systems 482
- Artificial Intelligence 223
- Computer Vision and Pattern Recognition 207
- Sociology and Political Science 145
- Computer Networks and Communications 139
Countries citing papers authored by Heung-Nam Kim
This map shows the geographic impact of Heung-Nam Kim'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 Heung-Nam Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heung-Nam Kim more than expected).
Fields of papers citing papers by Heung-Nam Kim
This network shows the impact of papers produced by Heung-Nam Kim. 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 Heung-Nam Kim. The network helps show where Heung-Nam Kim may publish in the future.
Co-authorship network of co-authors of Heung-Nam Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Heung-Nam Kim. A scholar is included among the top collaborators of Heung-Nam Kim 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 Heung-Nam Kim. Heung-Nam Kim 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 | 33 | |
| 3 | 11 | |
| 4 | 19 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 23 | |
| 8 | 5 | |
| 9 | Serious Games for Rehabilitation of Stroke Patients with Vibrotactile Feedback. | 6 |
| 10 | 7 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | Collaborative Recommendation of Online Video Lectures in e-Learning System | 0 |
| 14 | Inferring and Visualizing Semantic Relationships in Web-based Social Network | 1 |
| 15 | 1 | |
| 16 | 5 | |
| 17 | Design of Robust Sliding Mode Control for Linear Systems with Mismatched Uncertainties using LMI | 1 |
| 18 | 5 | |
| 19 | 1 | |
| 20 | A Design of Framework-Based RAD Tool. | 1 |
About Heung-Nam Kim
Heung-Nam Kim is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 44 papers that have together received 754 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (16 papers), Complex Network Analysis Techniques (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Information Systems (482 citations), Computational Mathematics (11 citations) and Computer Vision and Pattern Recognition (207 citations). Heung-Nam Kim has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Abdulmotaleb El Saddik, Geun‐Sik Jo, Inay Ha, Abdulmotaleb El-Saddik, Chansu Yu, Majdi Rawashdeh, M.J. Irwin, Abdullah Alghamdi, Jihad Mohamad Alja’am and Seung-Bo Park. Their work appears in journals such as Environmental Health Perspectives, Expert Systems with Applications and Decision Support Systems.
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.