Jonathan Oliver
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Advanced Clustering Algorithms Research
- Algorithms and Data Compression
- Internet Traffic Analysis and Secure E-voting
Papers in
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- Algorithms and Data Compression 5
- Bayesian Methods and Mixture Models 5
- Machine Learning and Algorithms 3
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- Spam and Phishing Detection 9
- Co-authors
- Rohan A. Baxter (8 shared papers)Chris S. Wallace (4 shared papers)David J. Hand (4 shared papers)Chun Hung Cheng (2 shared papers)David L. Dowe (6 shared papers)Yang Xiang (4 shared papers)Chao Chen (3 shared papers)James R. Tresilian (1 shared paper)
- Journals
- Statistics and Computing (1 paper)Pattern Recognition (1 paper)Journal of Classification (1 paper)Experimental Brain Research (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Jonathan Oliver
35 papers receiving 770 citations
Peers
Comparison fields: 5 of 91
- Signal Processing 245
- Artificial Intelligence 463
- Information Systems 312
- Computer Networks and Communications 179
- Statistics and Probability 57
Countries citing papers authored by Jonathan Oliver
This map shows the geographic impact of Jonathan Oliver'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 Jonathan Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Oliver more than expected).
Fields of papers citing papers by Jonathan Oliver
This network shows the impact of papers produced by Jonathan Oliver. 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 Jonathan Oliver. The network helps show where Jonathan Oliver may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Oliver, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | Unsupervised Learning Using MML. | 1996 | 105 |
| 3 | Anatomy of a Phishing Email. | 2004 | 66 |
| 4 | 2000 | 61 | |
| 5 | 1995 | 50 | |
| 6 | 2014 | 42 | |
| 7 | 2003 | 39 | |
| 8 | 2016 | 39 | |
| 9 | 1998 | 35 | |
| 10 | 1996 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 1994 | 25 | |
| 13 | AN IN-DEPTH ANALYSIS OF ABUSE ON TWITTER | 2014 | 23 |
| 14 | 1998 | 22 | |
| 15 | 1996 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 1998 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 1996 | 13 | |
| 20 | 1996 | 10 |
About Jonathan Oliver
Jonathan Oliver is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Statistics and Probability, having authored 37 papers that have together received 835 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers), Algorithms and Data Compression (5 papers), Bayesian Methods and Mixture Models (5 papers), Machine Learning and Algorithms (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Signal Processing (245 citations), Artificial Intelligence (463 citations), Information Systems (312 citations), Computer Networks and Communications (179 citations) and Statistics and Probability (57 citations). Jonathan Oliver has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Rohan A. Baxter, Chris S. Wallace, David J. Hand, Chun Hung Cheng, David L. Dowe, Yang Xiang, Chao Chen, James R. Tresilian, Timothy J. Carroll and Robert Layton. Their work appears in journals such as Statistics and Computing, Pattern Recognition, Journal of Classification, Experimental Brain Research and Future Generation Computer 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.