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Researcher · Federation University · Australia

Peter W. Vamplew

Peter W. Vamplew publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Information Systems, on topics such as Reinforcement Learning in Robotics, Evolutionary Algorithms and Applications and Advanced Multi-Objective Optimization Algorithms.

ORCID 0000-0002-8687-4424 OpenAlex
World rank
#632,510
of 7,710,434 ranked researchers
Rank in Australia
#21,563
of 140,210
Works
153
Citations
4.7k
Citations per work
31.0
h-index
26
i10-index 58Top 7.1% in Artificial Intelligence
Peter W. Vamplew

What does Peter W. Vamplew research?

Peter W. Vamplew's work is mostly in Computer Science (49%), Social Sciences (4%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 76 works · 49.4% of their workComputer Science: 76 works · 49.4% of their workArtificial Intelligence: 58 works · 38.0% of their workComputational Theory and Mathematics: 11 works · 7.0% of their workInformation Systems: 7 works · 4.4% of their workEverything else: 60 works · 39.4% of their workSocial Sciences: 11 works · 7.5% of their workSocial Sciences: 6 works · 4.2% of their workSociology and Political Science: 6 works · 4.2% of their workDecision Sciences: 5 works · 3.3% of their workManagement Science and Operations Research: 5 works · 3.3% of their workLife Sciences: 6 works · 3.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 3.7% of their workMolecular Biology: 6 works · 3.7% of their workTHEIR WORKPeter W. Vamplew153works
Life Sciences4%Physical Sciences49%Social Sciences8%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science7649.4%
  2. Everything else6039.4%
    1. Social Sciences64.2%
    2. Decision Sciences53.3%
    1. Biochemistry, Genetics and Molecular Biology63.7%
  1. 1Artificial Intelligence38% of their works
  2. 2Computational Theory and Mathematics7% of their works
  3. 3Information Systems4% of their works
  4. 4Sociology and Political Science4% of their works
  5. 5Molecular Biology4% of their works
  6. 6Management Science and Operations Research3% of their works

Research topics

Which keywords describe Peter W. Vamplew's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Learning, Reinforcement Learning, Robotics, Evolutionary Algorithms, Multiobjective Optimization and Classification.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning714 topics
  2. Neural Networks532 topics
  3. Machine Learning504 topics
  4. Reinforcement Learning451 topic
  5. Robotics451 topic
  6. Evolutionary Algorithms372 topics
  7. Multiobjective Optimization372 topics
  8. Classification211 topic
  9. Genetic Programming211 topic
  10. IoT Security182 topics
  11. Genetic Algorithm161 topic
  12. Surrogate Modeling161 topic
  13. Ethics111 topic
  14. Fairness111 topic
  15. Interpretable Models111 topic
  16. Machine Learning Interpretability111 topic
  17. Android Malware91 topic
  18. Detection91 topic
  19. Intrusion Detection91 topic
  20. Network Security91 topic
  21. Backpropagation Learning81 topic
  22. Self-Organizing Maps81 topic

Where does Peter W. Vamplew work?

Peter W. Vamplew's main affiliation in the publication record is Federation University, Australia.

How many publications and citations does Peter W. Vamplew have?

OpenAlex counts 153 works and 4,738 citations for Peter W. Vamplew, an h-index of 26, ranking #632,510 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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