James M. Murphy
About
In The Last Decade
James M. Murphy
42 papers receiving 509 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 130
- Media Technology 115
- Surgery 66
- Biomedical Engineering 58
- Pediatrics, Perinatology and Child Health 45
Countries citing papers authored by James M. Murphy
This map shows the geographic impact of James M. Murphy'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 James M. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Murphy more than expected).
Fields of papers citing papers by James M. Murphy
This network shows the impact of papers produced by James M. Murphy. 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 James M. Murphy. The network helps show where James M. Murphy may publish in the future.
Co-authorship network of co-authors of James M. Murphy
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Murphy. A scholar is included among the top collaborators of James M. Murphy 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 James M. Murphy. James M. Murphy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms | 15 |
| 9 | Manifold Learning and Deep Clustering with Local Dictionaries. | 0 |
| 10 | 1 | |
| 11 | Learning by Unsupervised Nonlinear Diffusion | 10 |
| 12 | 17 | |
| 13 | 1 | |
| 14 | Nonlinear Unsupervised Clustering of Hyperspectral Images with Applications to Anomaly Detection and Active Learning | 2 |
| 15 | 5 | |
| 16 | 59 | |
| 17 | 5 | |
| 18 | 88 | |
| 19 | 30 | |
| 20 | Short- and long-term risks after exposure to diagnostic ultrasound in utero. | 87 |
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.