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Researcher · University of Bradford · United Kingdom

Paul R. Trundle

Paul R. Trundle publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, on topics such as Computational Drug Discovery Methods, Analytical Chemistry and Chromatography and Machine Learning and Data Classification.

OpenAlex
World rank
#3,399,022
of 7,710,434 ranked researchers
Rank in United Kingdom
#225,879
of 367,258
Works
17
Citations
764
Citations per work
44.9
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Paul R. Trundle

What does Paul R. Trundle research?

Paul R. Trundle's work is mostly in Computer Science (65%), Chemistry (8%), Pharmacology, Toxicology and Pharmaceutics (4%).

Physical Sciences: 12 works · 72.5% of their workComputer Science: 11 works · 64.7% of their workArtificial Intelligence: 5 works · 29.4% of their workComputer Vision and Pattern Recognition: 3 works · 17.6% of their workComputational Theory and Mathematics: 2 works · 11.8% of their workSignal Processing: 1 works · 5.9% of their workChemistry: 1 works · 7.8% of their workSpectroscopy: 1 works · 7.8% of their workEverything else: 4 works · 23.6% of their workLife Sciences: 1 works · 3.9% of their workPharmacology, Toxicology and Pharmaceutics: 1 works · 3.9% of their workPharmacology: 1 works · 3.9% of their workTHEIR WORKPaul R. Trundle17works
Life Sciences4%Physical Sciences72%

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 Science1164.7%
    2. Chemistry17.8%
  2. Everything else423.6%
    1. Pharmacology, Toxicology and Pharmaceutics13.9%
  1. 1Artificial Intelligence29% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Computational Theory and Mathematics12% of their works
  4. 4Spectroscopy8% of their works
  5. 5Signal Processing6% of their works
  6. 6Pharmacology4% of their works

Research topics

Which keywords describe Paul R. Trundle's research?

The keywords of their largest research topics: Machine Learning, Pharmacokinetics, Molecular Docking, Virtual Screening, Chiral Separation, Liquid Chromatography, GMDH-type Neural Networks and Hyperparameter Optimization.

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.

All 18 words, with their numbers
  1. Machine Learning113 topics
  2. Pharmacokinetics82 topics
  3. Molecular Docking61 topic
  4. Virtual Screening61 topic
  5. Chiral Separation41 topic
  6. Liquid Chromatography41 topic
  7. GMDH-type Neural Networks31 topic
  8. Hyperparameter Optimization31 topic
  9. Inductive Modeling31 topic
  10. Noisy Labels31 topic
  11. Concept Drift21 topic
  12. Content-Based Image Retrieval21 topic
  13. Cytochrome P45021 topic
  14. Data Streams21 topic
  15. Feature Matching21 topic
  16. Local Descriptors21 topic
  17. Pharmacogenetics21 topic
  18. Shape Matching21 topic

Where does Paul R. Trundle work?

Paul R. Trundle's main affiliation in the publication record is University of Bradford, United Kingdom.

How many publications and citations does Paul R. Trundle have?

OpenAlex counts 17 works and 764 citations for Paul R. Trundle, an h-index of 8, ranking #3,399,022 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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