Sunghun Kim
- Information Systems top 0.1%
- Software top 0.1%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Co-authors
- E. James WhiteheadThomas ZimmermannAndreas ZellerShing-Chi CheungKai PanHongyu ZhangRongxin WuMichael D. Ernst
- Topics
- Software Engineering Research (34 papers)Software Reliability and Analysis Research (18 papers)Software Testing and Debugging Techniques (17 papers)
- Journals
- IEEE Transactions on Software EngineeringIEEE SoftwareACM Transactions on Information Systems
- Partner nations
- United StatesHong KongSouth Korea
In The Last Decade
Sunghun Kim
43 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Information Systems 2.4k
- Software 1.9k
- Computer Networks and Communications 777
- Signal Processing 388
- Artificial Intelligence 352
Countries citing papers authored by Sunghun Kim
This map shows the geographic impact of Sunghun 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 Sunghun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunghun Kim more than expected).
Fields of papers citing papers by Sunghun Kim
This network shows the impact of papers produced by Sunghun 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 Sunghun Kim. The network helps show where Sunghun Kim may publish in the future.
Co-authorship network of co-authors of Sunghun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sunghun Kim. A scholar is included among the top collaborators of Sunghun 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 Sunghun Kim. Sunghun 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 | 1 | |
| 2 | 1 | |
| 3 | An Analysis of Pre-Service Science Teachers’ PCK for Lessons Using Analogies | 1 |
| 4 | 1 | |
| 5 | 95 | |
| 6 | 47 | |
| 7 | 62 | |
| 8 | 2 | |
| 9 | 101 | |
| 10 | 56 | |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 69 | |
| 14 | Predicting Faults from Cached Historybreakdown → | 368 |
| 15 | ReCrash: Making Crashes Reproducible | 1 |
| 16 | 18 | |
| 17 | 48 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 6 |
About Sunghun Kim
Sunghun Kim is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Software Reliability and Analysis Research (18 papers) and Software Testing and Debugging Techniques (17 papers). The work is most often cited by research in Software (1.9k citations), Information Systems (2.4k citations) and Computer Science Applications (267 citations). Sunghun Kim has collaborated with scholars based in United States, Hong Kong and South Korea. Frequent co-authors include E. James Whitehead, Thomas Zimmermann, Andreas Zeller, Shing-Chi Cheung, Kai Pan, Hongyu Zhang, Rongxin Wu, Michael D. Ernst, Yida Tao and Lin Tan. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software and ACM Transactions on Information 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.