Peter Vamplew

4.8k citations
103 papers · 3.0k · 2 hit papers · h-index 23

Impact in

Papers in

Peter Vamplew

99 papers receiving 2.9k citations

Peter Vamplew's Hit Papers

A practical guide to multi-objective reinforcement learning and planning 2022 · 188 citations
1880+2+4Years since publication4008001.2k

Peers

Peter Vamplew
Comparison fields: 5 of 138
  • Signal Processing 895
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.7k
  • Health Informatics 32
  • Computational Theory and Mathematics 321
Replace Kalyan Veeramachaneni with:
Kalyan Veeramachaneni United States
Lei Ma Japan
Shouling Ji China
Alan Fern United States
Giovanni Acampora Italy
Malik Ghallab France
Jianhua Li China
Qi Li China
Atul Prakash United States
Cyril Leung Canada
Peter Vamplew relative to Kalyan Veeramachaneni United States Kalyan Veeramachaneni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Vamplew

Since Specialization
Citations

This map shows the geographic impact of Peter 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 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 Vamplew more than expected).

Fields of papers citing papers by Peter Vamplew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter 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 Vamplew. The network helps show where Peter Vamplew may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Vamplew, 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 Peter Vamplew Line = papers co-authored together Peter Vamplew links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 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 →
20191225
2 2010199
3
A practical guide to multi-objective reinforcement learning and planning
Hit paper breakdown →
2022188
4 2020154
5 202089
6 202184
7 201777
8 200872
9 201854
10 201742
11 200935
12 201934
13
Recognition of sign language gestures using neural networks
199634
14
A Comparative Study of Various Data Mining Techniques as applied to the Modeling of Landslide Susceptibility on the Bellarine Peninsula, Victoria, Australia
201033
15 202327
16
Applying clustering and ensemble clustering approaches to phishing profiling
200927
17 200027
18
Generalised Algorithms for Redirected Walking in Virtual Environments
200426
19
An anti-plagiarism editor for software development courses
200526
20 201925

About Peter Vamplew

Peter Vamplew is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Control and Systems Engineering and Computer Networks and Communications, having authored 103 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (27 papers), Evolutionary Algorithms and Applications (16 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers), Digital Games and Media (6 papers), Ethics and Social Impacts of AI (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Signal Processing (895 citations), Computer Networks and Communications (1.5k citations), Artificial Intelligence (1.7k citations), Health Informatics (32 citations) and Computational Theory and Mathematics (321 citations). Peter 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 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 Lecture notes in computer science.

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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