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Researcher · European Space Agency · France

Peter Naylor

Peter Naylor publishes mostly in Ocean Engineering, Artificial Intelligence and Mechanical Engineering, on topics such as Hydraulic Fracturing and Reservoir Analysis, AI in cancer detection and Reservoir Engineering and Simulation Methods.

ORCID 0000-0002-9984-1736 OpenAlex
World rank
#4,274,355
of 7,710,434 ranked researchers
Rank in France
#179,882
of 324,115
Works
61
Citations
1.2k
Citations per work
20.0
h-index
11
i10-index 11Top 33% in Ocean Engineering
Peter Naylor

What does Peter Naylor research?

Peter Naylor's work is mostly in Engineering (31%), Computer Science (14%), Earth and Planetary Sciences (7%).

Physical Sciences: 34 works · 56.1% of their workEngineering: 19 works · 31.3% of their workOcean Engineering: 10 works · 16.3% of their workMechanical Engineering: 5 works · 8.5% of their workMechanics of Materials: 4 works · 6.5% of their workComputer Science: 8 works · 13.7% of their workArtificial Intelligence: 8 works · 13.7% of their workEarth and Planetary Sciences: 4 works · 6.5% of their workAtmospheric Science: 4 works · 6.5% of their workEnvironmental Science: 3 works · 4.6% of their workEnvironmental Engineering: 3 works · 4.6% of their workEverything else: 27 works · 43.9% of their workTHEIR WORKPeter Naylor61works
Physical Sciences56%

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. Engineering1931.3%
    2. Computer Science813.7%
    3. Earth and Planetary Sciences46.5%
    4. Environmental Science34.6%
  2. Everything else2743.9%
  1. 1Ocean Engineering16% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Mechanical Engineering8% of their works
  4. 4Atmospheric Science6% of their works
  5. 5Mechanics of Materials6% of their works
  6. 6Environmental Engineering5% of their works

Research topics

Which keywords describe Peter Naylor's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Remote Sensing, Hydraulic Fracturing, Shale Gas Reservoirs, Histopathology Images, Medical Image Analysis and Ensemble Kalman Filter.

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 19 words, with their numbers
  1. Machine Learning253 topics
  2. Deep Learning172 topics
  3. Remote Sensing142 topics
  4. Hydraulic Fracturing131 topic
  5. Shale Gas Reservoirs131 topic
  6. Histopathology Images121 topic
  7. Medical Image Analysis121 topic
  8. Ensemble Kalman Filter111 topic
  9. Optimization111 topic
  10. Pore-scale Modeling101 topic
  11. X-ray Computed Tomography101 topic
  12. Pore Structure91 topic
  13. Shale Gas91 topic
  14. Compositional Data Analysis81 topic
  15. Mineral Prospectivity81 topic
  16. Photogrammetry61 topic
  17. UAV61 topic
  18. Bioimage Analysis51 topic
  19. High-Content Screening51 topic

Where does Peter Naylor work?

Peter Naylor's main affiliation in the publication record is European Space Agency, France.

How many publications and citations does Peter Naylor have?

OpenAlex counts 61 works and 1,220 citations for Peter Naylor, an h-index of 11, ranking #4,274,355 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.

Discussion

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