James Francis Peters
James Francis Peters publishes mostly in Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Rough Sets and Fuzzy Logic, Image Retrieval and Classification Techniques and Neural dynamics and brain function.
- World rank
- #1,387,143 of 7,710,434 ranked researchers
- Rank in Canada
- #46,756 of 183,316
- Works
- 609
- Citations
- 6.7k
- Citations per work
- 10.9
What does James Francis Peters research?
James Francis Peters's work is mostly in Computer Science (47%), Neuroscience (7%), Mathematics (4%).
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
- Physical Sciences30650.2%
- Computer Science28446.7%
- Mathematics213.5%
- Everything else25942.6%
- Life Sciences447.2%
- Neuroscience447.2%
- 1Computational Theory and Mathematics19% of their works
- 2Computer Vision and Pattern Recognition13% of their works
- 3Artificial Intelligence11% of their works
- 4Cognitive Neuroscience7% of their works
- 5Geometry and Topology4% of their works
- 6Information Systems3% of their works
Research topics
- Rough Sets and Fuzzy Logic
- Image Retrieval and Classification Techniques
- Neural dynamics and brain function
- Topological and Geometric Data Analysis
- Digital Image Processing Techniques
- Medical Image Segmentation Techniques
- Data Mining Algorithms and Applications
- Homotopy and Cohomology in Algebraic Topology
Which keywords describe James Francis Peters's research?
The keywords of their largest research topics: Granular Computing, Rough Sets, Machine Learning, Content-Based Image Retrieval, Shape Matching, Cortical Networks, Neuronal Oscillations and Persistent Homology.
- Deformation Quantization
- Data Mining
- Image Segmentation
- Connected Components
- Persistent Homology
- Cortical Networks
- Content-Based Image Retrieval
- Rough Sets
- Granular Computing
- Machine Learning
- Shape Matching
- Neuronal Oscillations
- Topological Methods
- Labeling
- Medical Image Analysis
- Frequent Patterns
- Poisson Manifolds
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 17 words, with their numbers
- Granular Computing1881 topic
- Rough Sets1881 topic
- Machine Learning1423 topics
- Content-Based Image Retrieval621 topic
- Shape Matching621 topic
- Cortical Networks581 topic
- Neuronal Oscillations581 topic
- Persistent Homology501 topic
- Topological Methods501 topic
- Connected Components481 topic
- Labeling481 topic
- Image Segmentation311 topic
- Medical Image Analysis311 topic
- Data Mining301 topic
- Frequent Patterns301 topic
- Deformation Quantization251 topic
- Poisson Manifolds251 topic
Where does James Francis Peters work?
James Francis Peters's main affiliation in the publication record is University of Manitoba, Canada.
How many publications and citations does James Francis Peters have?
OpenAlex counts 609 works and 6,659 citations for James Francis Peters, an h-index of 41, ranking #1,387,143 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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