Peter W. Vamplew
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection
Papers in
-
- Reinforcement Learning in Robotics 26
- Evolutionary Algorithms and Applications 17
- Neural Networks and Applications 6
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- Advanced Multi-Objective Optimization Algorithms 14
- Co-authors
- Iqbal Gondal (11 shared papers)Ansam Khraisat (5 shared papers)Joarder Kamruzzaman (5 shared papers)Richard Dazeley (33 shared papers)Adam Berry (7 shared papers)Cameron Foale (17 shared papers)John L. Yearwood (12 shared papers)Ammar Alazab (2 shared papers)
- Journals
- Neural Computing and Applications (7 papers)Neurocomputing (4 papers)Electronics (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Autonomous Agents and Multi-Agent Systems (2 papers)
- Partner nations
- AustraliaUnited StatesChile
In The Last Decade
Peter W. Vamplew
95 papers receiving 3.0k citations
Peter W. Vamplew's Hit Papers
Peers
Comparison fields: 5 of 135
- Signal Processing 917
- Computer Networks and Communications 1.5k
- Artificial Intelligence 1.8k
- Health Informatics 35
- Computational Theory and Mathematics 339
Countries citing papers authored by Peter W. Vamplew
This map shows the geographic impact of Peter W. Vamplew'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 Peter W. Vamplew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter W. Vamplew more than expected).
Fields of papers citing papers by Peter W. Vamplew
This network shows the impact of papers produced by Peter W. Vamplew. 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 Peter W. Vamplew. The network helps show where Peter W. Vamplew may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter W. Vamplew, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Survey of intrusion detection systems: techniques, datasets and challenges Hit paper breakdown → | 2019 | 1295 |
| 2 | A Practical Guide to Multi-Objective Reinforcement Learning and Planning Hit paper breakdown → | 2022 | 224 |
| 3 | 2010 | 210 | |
| 4 | 2020 | 159 | |
| 5 | 2020 | 99 | |
| 6 | 2021 | 93 | |
| 7 | 2017 | 78 | |
| 8 | 2008 | 74 | |
| 9 | 2018 | 53 | |
| 10 | 2017 | 44 | |
| 11 | 2009 | 37 | |
| 12 | Recognition of sign language gestures using neural networks | 1996 | 33 |
| 13 | 2019 | 32 | |
| 14 | 2023 | 31 | |
| 15 | 2019 | 28 | |
| 16 | 2000 | 28 | |
| 17 | Applying clustering and ensemble clustering approaches to phishing profiling | 2009 | 28 |
| 18 | 2019 | 26 | |
| 19 | Generalised Algorithms for Redirected Walking in Virtual Environments | 2004 | 26 |
| 20 | An anti-plagiarism editor for software development courses | 2005 | 24 |
About Peter W. Vamplew
Peter W. Vamplew is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Information Systems and Safety Research, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (26 papers), Evolutionary Algorithms and Applications (17 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers), Ethics and Social Impacts of AI (6 papers), Neural Networks and Applications (6 papers) and Digital Games and Media (6 papers). The work is most often cited by research in Signal Processing (917 citations), Computer Networks and Communications (1.5k citations), Artificial Intelligence (1.8k citations), Health Informatics (35 citations) and Computational Theory and Mathematics (339 citations). Peter W. Vamplew has collaborated with scholars based in Australia, United States and Chile. Frequent co-authors include Iqbal Gondal, Ansam Khraisat, Joarder Kamruzzaman, Richard Dazeley, Adam Berry, Cameron Foale, John L. Yearwood, Ammar Alazab, Francisco Cruz and Saeid Nahavandi. Their work appears in journals such as Neural Computing and Applications, Neurocomputing, Electronics, Engineering Applications of Artificial Intelligence and Autonomous Agents and Multi-Agent 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.