Christopher Leckie
- Computer Networks and Communications top 0.2%
- Network Security and Intrusion Detection 72
- Signal Processing top 0.2%
- Data Management and Algorithms 28
- Time Series Analysis and Forecasting 16
- Artificial Intelligence top 0.1%
- Anomaly Detection Techniques and Applications 66
- Internet Traffic Analysis and Secure E-voting 27
- Advanced Clustering Algorithms Research 21
- Data Stream Mining Techniques 18
- Transportation top 1%
- Computational Mathematics top 5%
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- Complex Network Analysis Techniques 28
- Co-authors
- Sutharshan RajasegararShanika KarunasekeraMarimuthu PalaniswamiKotagiri RamamohanaraoJames C. BezdekSarah ErfaniJeffrey ChanTao Peng
- Journals
- Pattern Recognition (8 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)Knowledge and Information Systems (5 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Christopher Leckie
252 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Networks and Communications 3.7k
- Signal Processing 1.6k
- Artificial Intelligence 4.5k
- Transportation 484
- Computational Mathematics 37
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 28 | |
| 4 | Embedding partial propagation network for fake news early detection | 2020 | 6 |
| 5 | Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. | 2019 | 1 |
| 6 | 2018 | 31 | |
| 7 | 2015 | 8 | |
| 8 | Personalized tour recommendation based on user interests and points of interest visit durations | 2015 | 100 |
| 9 | 2014 | 29 | |
| 10 | Security games for virtual machine allocation in cloud computing | 2013 | 1 |
| 11 | AIC and BIC based approaches for SVM parameter value estimation with RBF kernels | 2012 | 7 |
| 12 | 2011 | 7 | |
| 13 | 2010 | 106 | |
| 14 | A query based approach for mining evolving graphs | 2009 | 7 |
| 15 | Approximate data mining in very large relational data | 2006 | 2 |
| 16 | Unsupervised anomaly detection in network intrusion detection using clusters | 2005 | 213 |
| 17 | Applying Reinforcement Learning to Packet Scheduling in Routers | 2003 | 10 |
| 18 | Learning to Share Distributed Probabilistic Beliefs | 2002 | 5 |
| 19 | Locating Faults in Tree-Structured Networks. | 1997 | 4 |
| 20 | An Inductive Approach to Learning Search Control Rules for Planning. | 1993 | 8 |
About Christopher Leckie
Christopher Leckie is a scholar working on Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 261 papers that have together received 7.8k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (72 papers), Anomaly Detection Techniques and Applications (66 papers), Data Management and Algorithms (28 papers), Complex Network Analysis Techniques (28 papers), Internet Traffic Analysis and Secure E-voting (27 papers), Advanced Clustering Algorithms Research (21 papers), Data Stream Mining Techniques (18 papers) and Time Series Analysis and Forecasting (16 papers). The work is most often cited by research in Computer Networks and Communications (3.7k citations), Signal Processing (1.6k citations) and Artificial Intelligence (4.5k 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, International Journal of Intelligent Systems and Bioinformatics.
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.