Christopher Leckie
Impact in
- Computer Networks and Communications top 0.2%
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques
- Data Management and Algorithms
Papers in
-
- Anomaly Detection Techniques and Applications 67
- Internet Traffic Analysis and Secure E-voting 27
- Advanced Clustering Algorithms Research 21
- Data Stream Mining Techniques 18
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- Network Security and Intrusion Detection 72
- Energy Efficient Wireless Sensor Networks 16
- Co-authors
- Sutharshan Rajasegarar (51 shared papers)Shanika Karunasekera (36 shared papers)Marimuthu Palaniswami (45 shared papers)Kotagiri Ramamohanarao (47 shared papers)James C. Bezdek (44 shared papers)Sarah Erfani (42 shared papers)Jeffrey Chan (38 shared papers)Tao Peng (5 shared papers)
- Journals
- Pattern Recognition (8 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)Knowledge and Information Systems (5 papers)Bioinformatics (4 papers)IEEE Transactions on Fuzzy Systems (4 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Christopher Leckie
255 papers receiving 7.6k citations
Christopher Leckie's Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Networks and Communications 3.7k
- Signal Processing 1.7k
- Artificial Intelligence 4.6k
- Transportation 489
- Computational Mathematics 39
Countries citing papers authored by Christopher Leckie
This map shows the geographic impact of Christopher Leckie'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 Christopher Leckie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Leckie more than expected).
Fields of papers citing papers by Christopher Leckie
This network shows the impact of papers produced by Christopher Leckie. 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 Christopher Leckie. The network helps show where Christopher Leckie may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Leckie, 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 263 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning Hit paper breakdown → | 2016 | 813 |
| 2 | Survey of network-based defense mechanisms countering the DoS and DDoS problems Hit paper breakdown → | 2007 | 506 |
| 3 | Fuzzy c-Means Algorithms for Very Large Data Hit paper breakdown → | 2012 | 352 |
| 4 | 2009 | 257 | |
| 5 | 2008 | 219 | |
| 6 | Unsupervised anomaly detection in network intrusion detection using clusters | 2005 | 213 |
| 7 | 2006 | 192 | |
| 8 | 2015 | 169 | |
| 9 | 2004 | 160 | |
| 10 | 2007 | 141 | |
| 11 | 2017 | 139 | |
| 12 | 2015 | 127 | |
| 13 | 2010 | 120 | |
| 14 | 2006 | 118 | |
| 15 | 2016 | 112 | |
| 16 | 2010 | 109 | |
| 17 | Personalized tour recommendation based on user interests and points of interest visit durations | 2015 | 100 |
| 18 | 2021 | 99 | |
| 19 | 2018 | 97 | |
| 20 | 2021 | 89 |
About Christopher Leckie
Christopher Leckie is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 263 papers that have together received 8.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (72 papers), Anomaly Detection Techniques and Applications (67 papers), Complex Network Analysis Techniques (28 papers), Data Management and Algorithms (28 papers), Internet Traffic Analysis and Secure E-voting (27 papers), Advanced Clustering Algorithms Research (21 papers), Data Stream Mining Techniques (18 papers) and Energy Efficient Wireless Sensor Networks (16 papers). The work is most often cited by research in Computer Networks and Communications (3.7k citations), Signal Processing (1.7k citations), Artificial Intelligence (4.6k citations), Transportation (489 citations) and Computational Mathematics (39 citations). Christopher Leckie has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Sutharshan Rajasegarar, Shanika Karunasekera, Marimuthu Palaniswami, Kotagiri Ramamohanarao, James C. Bezdek, Sarah Erfani, Jeffrey Chan, Tao Peng, Chenfeng Zhou and Timothy C. Havens. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems, Bioinformatics and IEEE Transactions on Fuzzy 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.