Eul Gyu Im
- Signal Processing top 0.5%
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Software top 2%
- Co-authors
- BooJoong KangSakir SezerTaeGuen KimMina RhoJae Hyun LimKyoung-Soo HanBernardi PranggonoSiren Sezer
- Topics
- Advanced Malware Detection Techniques (46 papers)Network Security and Intrusion Detection (33 papers)Software Testing and Debugging Techniques (15 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Eul Gyu Im
60 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Signal Processing 1.0k
- Computer Networks and Communications 926
- Information Systems 511
- Artificial Intelligence 398
- Software 242
Countries citing papers authored by Eul Gyu Im
This map shows the geographic impact of Eul Gyu Im'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 Eul Gyu Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eul Gyu Im more than expected).
Fields of papers citing papers by Eul Gyu Im
This network shows the impact of papers produced by Eul Gyu Im. 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 Eul Gyu Im. The network helps show where Eul Gyu Im may publish in the future.
Co-authorship network of co-authors of Eul Gyu Im
This figure shows the co-authorship network connecting the top 25 collaborators of Eul Gyu Im. A scholar is included among the top collaborators of Eul Gyu Im 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 Eul Gyu Im. Eul Gyu Im 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 | 82 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | A Proposal of Evaluation Index for Malware Collecting and Analyzing | 0 |
| 13 | An Automatic Malware Classification System using String List and APIs | 6 |
| 14 | Cloud Computing Security | 3 |
| 15 | Smartphone, promising battlefield for hackers | 6 |
| 16 | A Study of Spam-spread Malware Analysis and Countermeasure Framework | 4 |
| 17 | 13 | |
| 18 | The Traffic Analysis of P2P-based Storm Botnet using Honeynet | 3 |
| 19 | Kaliphimos: A community-based peer-to-peer group management scheme | 1 |
| 20 | Safe Patch Distribution Architecture in Intranet Environments. | 3 |
About Eul Gyu Im
Eul Gyu Im is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (46 papers), Network Security and Intrusion Detection (33 papers) and Software Testing and Debugging Techniques (15 papers). The work is most often cited by research in Signal Processing (1.0k citations), Software (242 citations) and Computer Networks and Communications (926 citations). Eul Gyu Im has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include BooJoong Kang, Sakir Sezer, TaeGuen Kim, Mina Rho, Jae Hyun Lim, Kyoung-Soo Han, Bernardi Pranggono, Siren Sezer, Tim Littler and Kieran McLaughlin. Their work appears in journals such as Atmospheric Environment, IEEE Access and IEEE Transactions on Power Delivery.
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.