Philip Picton
Philip Picton publishes mostly in Artificial Intelligence, Industrial and Manufacturing Engineering and Mechanical Engineering, on topics such as Neural Networks and Applications, Industrial Vision Systems and Defect Detection and Engineering Education and Curriculum Development.
- World rank
- #675,436 of 1,633,909 ranked researchers
- Rank in United Kingdom
- #52,382 of 90,785
- Works
- 50
- Citations
- 55
- Citations per work
- 1.1
What does Philip Picton research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence14% of their works
- 2Industrial and Manufacturing Engineering11% of their works
- 3Mechanical Engineering11% of their works
- 4Mechanics of Materials7% of their works
- 5Electrical and Electronic Engineering7% of their works
- 6Education7% of their works
Research topics
- Neural Networks and Applications
- Industrial Vision Systems and Defect Detection
- Engineering Education and Curriculum Development
- Problem and Project Based Learning
- Neuroscience and Neural Engineering
- Visual perception and processing mechanisms
- Tactile and Sensory Interactions
- Transcranial Magnetic Stimulation Studies
Which keywords describe Philip Picton's research?
The keywords of their largest research topics: Deep Learning, Curriculum Development, Engineering Education, Neural Networks, Self-Organizing Maps, Fabric Defect Detection, Machine Vision and Outcome-Based Education.
- Transcranial Magnetic Stimulation
- Tactile Perception
- Neural Processing
- Cross-modal Plasticity
- Professional Skills
- Outcome-Based Education
- Fabric Defect Detection
- Neural Networks
- Curriculum Development
- Deep Learning
- Engineering Education
- Self-Organizing Maps
- Machine Vision
- Problem-Based Learning
- Project-Based Learning
- Electrode Arrays
- Neural Stimulation
- Transcranial Direct Current Stimulation
- Visual Perception
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 19 words, with their numbers
- Deep Learning62 topics
- Curriculum Development42 topics
- Engineering Education42 topics
- Neural Networks41 topic
- Self-Organizing Maps41 topic
- Fabric Defect Detection21 topic
- Machine Vision21 topic
- Outcome-Based Education21 topic
- Problem-Based Learning21 topic
- Professional Skills21 topic
- Project-Based Learning21 topic
- Cross-modal Plasticity11 topic
- Electrode Arrays11 topic
- Neural Processing11 topic
- Neural Stimulation11 topic
- Tactile Perception11 topic
- Transcranial Direct Current Stimulation11 topic
- Transcranial Magnetic Stimulation11 topic
- Visual Perception11 topic
Where does Philip Picton work?
Philip Picton's main affiliation in the publication record is University of Northampton, United Kingdom.
How many publications and citations does Philip Picton have?
Science Explorer counts 50 works and 55 citations for Philip Picton, ranking #675,436 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.