Philip S. Chodrow
Philip S. Chodrow publishes mostly in Statistical and Nonlinear Physics, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Complex Network Analysis Techniques, Advanced Graph Neural Networks and Advanced Clustering Algorithms Research.
- World rank
- #2,167,808 of 7,710,434 ranked researchers
- Rank in United States
- #651,792 of 1,627,098
- Works
- 29
- Citations
- 288
- Citations per work
- 9.9
What does Philip S. Chodrow research?
Philip S. Chodrow's work is mostly in Computer Science (30%), Physics and Astronomy (28%), Mathematics (7%).
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 Sciences1964.4%
- Computer Science930.2%
- Physics and Astronomy827.6%
- Mathematics26.6%
- Everything else930.3%
- Social Sciences25.3%
- Social Sciences25.3%
- 1Statistical and Nonlinear Physics28% of their works
- 2Artificial Intelligence17% of their works
- 3Computational Theory and Mathematics9% of their works
- 4Statistics and Probability7% of their works
- 5Transportation5% of their works
- 6Computer Vision and Pattern Recognition4% of their works
Research topics
Which keywords describe Philip S. Chodrow's research?
The keywords of their largest research topics: Network Dynamics, Social Influence, Community Structure, Scale-Free Networks, Deep Learning, Graph Neural Networks, Knowledge Graph Embedding and Bounded Confidence.
- Neural Networks
- Graph Matching
- Long-Range Interactions
- Persistent Homology
- K-means
- Bounded Confidence
- Graph Neural Networks
- Scale-Free Networks
- Social Influence
- Network Dynamics
- Community Structure
- Deep Learning
- Knowledge Graph Embedding
- Clustering Algorithms
- Opinion Dynamics
- Topological Methods
- Nonextensive Statistical Mechanics
- Graph Processing
- 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 19 words, with their numbers
- Network Dynamics182 topics
- Social Influence182 topics
- Community Structure141 topic
- Scale-Free Networks141 topic
- Deep Learning72 topics
- Graph Neural Networks51 topic
- Knowledge Graph Embedding51 topic
- Bounded Confidence41 topic
- Clustering Algorithms41 topic
- K-means41 topic
- Opinion Dynamics41 topic
- Persistent Homology41 topic
- Topological Methods41 topic
- Long-Range Interactions31 topic
- Nonextensive Statistical Mechanics31 topic
- Graph Matching21 topic
- Graph Processing21 topic
- Neural Networks21 topic
- Self-Organizing Maps21 topic
Where does Philip S. Chodrow work?
Philip S. Chodrow's main affiliation in the publication record is Massachusetts Institute of Technology, United States.
How many publications and citations does Philip S. Chodrow have?
OpenAlex counts 29 works and 288 citations for Philip S. Chodrow, an h-index of 7, ranking #2,167,808 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.
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Discussion
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