Jonathan Oliver

1.1k citations
27 papers · 530 · h-index 11

Impact in

Papers in

    • Machine Learning and Algorithms 3
    • Algorithms and Data Compression 3
    • Internet Traffic Analysis and Secure E-voting 2
    • Spam and Phishing Detection 8
    • Cybercrime and Law Enforcement Studies 2

Jonathan Oliver

24 papers receiving 485 citations

Peers

Jonathan Oliver
Comparison fields: 5 of 81
  • Signal Processing 156
  • Information Systems 229
  • Artificial Intelligence 251
  • Computer Networks and Communications 144
  • Software 16
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Oliver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan Oliver Line = papers co-authored together Jonathan Oliver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2
Unsupervised Learning Using MML.
199686
3
Anatomy of a Phishing Email.
200461
4 200050
5 201636
6 200336
7 201434
8 201525
9
AN IN-DEPTH ANALYSIS OF ABUSE ON TWITTER
201420
10 199819
11 201617
12 20208
13
Analysing rock samples for the mars lander
19987
14 19967
15 20215
16 20205
17
Autonomous Science Decision Making for Mars Sample Return
19994
18 19964
19
A Bayesian analysis of the doomsday argument
19973
20
Analysis of the Australian web threat landscape
20132

About Jonathan Oliver

Jonathan Oliver is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Statistics and Probability, having authored 27 papers that have together received 530 indexed citations. Recurring topics across this work include Spam and Phishing Detection (8 papers), Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (6 papers), Machine Learning and Algorithms (3 papers), Algorithms and Data Compression (3 papers), Motor Control and Adaptation (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Cybercrime and Law Enforcement Studies (2 papers). The work is most often cited by research in Signal Processing (156 citations), Information Systems (229 citations), Artificial Intelligence (251 citations), Computer Networks and Communications (144 citations) and Software (16 citations). Jonathan Oliver has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Rohan A. Baxter, Chun Hung Cheng, Chris S. Wallace, Yang Xiang, Timothy J. Carroll, Chao Chen, James R. Tresilian, David J. Hand, Ahmad Azab and Robert Layton. Their work appears in journals such as Journal of Neurophysiology, IT Professional, Statistics and Computing, Pattern Recognition and Journal of Classification.

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.

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