Philip Picton

1.2k total citations
80 papers, 773 citations indexed

About

Philip Picton is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Philip Picton has authored 80 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 17 papers in Artificial Intelligence and 11 papers in Mechanical Engineering. Recurrent topics in Philip Picton's work include Neural Networks and Applications (12 papers), Engineering Education and Curriculum Development (6 papers) and Problem and Project Based Learning (5 papers). Philip Picton is often cited by papers focused on Neural Networks and Applications (12 papers), Engineering Education and Curriculum Development (6 papers) and Problem and Project Based Learning (5 papers). Philip Picton collaborates with scholars based in United Kingdom, United States and Iraq. Philip Picton's co-authors include Stefan Kaczmarczyk, H. Scott Matthews, David Briggs, Linda Beale, Kenneth Field, M.Paul Capp, Peter Demian, Scott Turner, Jeffrey D. Johnson and D. J. Mills and has published in prestigious journals such as Electrochimica Acta, Journal of Materials Science and Neurocomputing.

In The Last Decade

Philip Picton

76 papers receiving 700 citations

Peers

Philip Picton
Comparison fields: 5 of 135
  • Transportation 127
  • Electrical and Electronic Engineering 119
  • Control and Systems Engineering 90
  • Artificial Intelligence 89
  • Mechanical Engineering 84
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Citations per field, relative to Philip Picton
Philip Picton · 1×
Citations per year, relative to Philip Picton
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Countries citing papers authored by Philip Picton

Since Specialization
Citations

This map shows the geographic impact of Philip Picton'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 Philip Picton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Picton more than expected).

Fields of papers citing papers by Philip Picton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Picton

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Picton. A scholar is included among the top collaborators of Philip Picton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Picton. Philip Picton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Multi-sensor fusion based on DWT, fuzzy histogram equalization for video sequence.
5
2 7
3
SEGMENTATION OF RADIOGRAPHIC IMAGES OF WELD DEFECT
1
4
The subjective measurement of leather handle by descriptive sensory analysis
1
5 26
6
Problem Solving and Creativity in Engineering: Perceptions of Novices and Professionals
9
7
The application of image analysis to determine strain distribution in leather.
1
8 12
9
MAGUS: modelling access with GIS in urban systems.
1
10
Selecting Filter Banks to Enhance Evoked Potentials Recordings Using Evolutionary Algorithms
2
11 1
12 3
13
Behaviour of a simple genetic algorithm searching for bright and edge pixels in an image
0
14
Fredkin gates as a basis for comparison of different logic design solutions
4
15 3
16
Higher-order neural networks and the arithmetic transform
1
17
A simple approach to the teaching of DSP
2
18
Tracking and segmentation of moving objects in a scene
6
19 1
20 1

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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