James M. Murphy
James M. Murphy publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, on topics such as Image and Signal Denoising Methods, Bioinformatics and Genomic Networks and Complex Network Analysis Techniques.
- World rank
- #1,156,936 of 1,633,909 ranked researchers
- Rank in United States
- #289,077 of 358,040
- Works
- 27
- Citations
- 37
- Citations per work
- 1.4
What does James M. Murphy research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence16% of their works
- 2Computer Vision and Pattern Recognition16% of their works
- 3Statistical and Nonlinear Physics10% of their works
- 4Computational Theory and Mathematics6% of their works
- 5Computational Mechanics6% of their works
- 6Political Science and International Relations6% of their works
Research topics
Which keywords describe James M. Murphy's research?
The keywords of their largest research topics: Deep Learning, Hyperspectral Imaging, Image Denoising, Sparse Representations, Community Structure, Gene Set Enrichment Analysis, Network Dynamics and Protein-Protein Interaction Networks.
- Transfer Learning
- Neural Networks
- Multivariate Calibration
- K-means
- Domain Adaptation
- Semi-Supervised Learning
- Protein-Protein Interaction Networks
- Gene Set Enrichment Analysis
- Sparse Representations
- Hyperspectral Imaging
- Deep Learning
- Image Denoising
- Community Structure
- Network Dynamics
- Representation Learning
- Clustering Algorithms
- Graph Neural Networks
- Knowledge Graph Embedding
- Near-Infrared Spectroscopy
- Self-Organizing Maps
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 20 words, with their numbers
- Deep Learning53 topics
- Hyperspectral Imaging42 topics
- Image Denoising31 topic
- Sparse Representations31 topic
- Community Structure21 topic
- Gene Set Enrichment Analysis21 topic
- Network Dynamics21 topic
- Protein-Protein Interaction Networks21 topic
- Representation Learning22 topics
- Semi-Supervised Learning22 topics
- Clustering Algorithms11 topic
- Domain Adaptation11 topic
- Graph Neural Networks11 topic
- K-means11 topic
- Knowledge Graph Embedding11 topic
- Multivariate Calibration11 topic
- Near-Infrared Spectroscopy11 topic
- Neural Networks11 topic
- Self-Organizing Maps11 topic
- Transfer Learning11 topic
Where does James M. Murphy work?
James M. Murphy's main affiliation in the publication record is Tufts University, United States.
How many publications and citations does James M. Murphy have?
Science Explorer counts 27 works and 37 citations for James M. Murphy, ranking #1,156,936 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.
Other researchers named James M. Murphy
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