Marcus Lim
- Artificial Intelligence
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Computer Networks and Communications
- Co-authors
- N. Z. JhanjhiAzween AbdullahJiang YunMahadevan SupramaniamAshutosh SaxenaMuhammad Khurram KhanKen BirmanKetan Maheshwari
- Topics
- Crime Patterns and Interventions (4 papers)Complex Network Analysis Techniques (3 papers)Network Security and Intrusion Detection (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IEEE AccessJournal of King Saud University - Computer and Information SciencesInternational Journal of Advanced Computer Science and Applications
- Partner nations
- MalaysiaSaudi ArabiaUnited States
In The Last Decade
Marcus Lim
7 papers receiving 196 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 70
- Information Systems 50
- Computer Vision and Pattern Recognition 50
- Control and Systems Engineering 42
- Computer Networks and Communications 36
Countries citing papers authored by Marcus Lim
This map shows the geographic impact of Marcus Lim'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 Marcus Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Lim more than expected).
Fields of papers citing papers by Marcus Lim
This network shows the impact of papers produced by Marcus Lim. 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 Marcus Lim. The network helps show where Marcus Lim may publish in the future.
Co-authorship network of co-authors of Marcus Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Lim. A scholar is included among the top collaborators of Marcus Lim 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 Marcus Lim. Marcus Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 18 | |
| 3 | 34 | |
| 4 | 36 | |
| 5 | 39 | |
| 6 | 30 | |
| 7 | 47 |
About Marcus Lim
Marcus Lim is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 7 papers that have together received 208 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (4 papers), Complex Network Analysis Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (34 citations), Computer Vision and Pattern Recognition (50 citations) and Information Systems (50 citations). Marcus Lim has collaborated with scholars based in Malaysia, Saudi Arabia and United States. Frequent co-authors include N. Z. Jhanjhi, Azween Abdullah, Jiang Yun, Mahadevan Supramaniam, Ashutosh Saxena, Muhammad Khurram Khan, Ken Birman, Ketan Maheshwari and Robbert van Renesse. Their work appears in journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences and International Journal of Advanced Computer Science and Applications.
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.