James R. Clough
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Andrew P. Kingİlkay ÖksüzJulia A. SchnabelNick ByrneVeronika A. ZimmerTim EvansClaudia PrietoThomas Küstner
- Topics
- Medical Imaging Techniques and Applications (3 papers)Complex Network Analysis Techniques (3 papers)Advanced MRI Techniques and Applications (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceMagnetic Resonance in Medicine
- Partner nations
- United KingdomTürkiyeUnited States
In The Last Decade
James R. Clough
15 papers receiving 263 citations
Peers
Comparison fields: 5 of 79
- Radiology, Nuclear Medicine and Imaging 100
- Computer Vision and Pattern Recognition 91
- Artificial Intelligence 56
- Computational Theory and Mathematics 45
- Statistical and Nonlinear Physics 42
Countries citing papers authored by James R. Clough
This map shows the geographic impact of James R. Clough'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 R. Clough with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Clough more than expected).
Fields of papers citing papers by James R. Clough
This network shows the impact of papers produced by James R. Clough. 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 R. Clough. The network helps show where James R. Clough may publish in the future.
Co-authorship network of co-authors of James R. Clough
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Clough. A scholar is included among the top collaborators of James R. Clough 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 R. Clough. James R. Clough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 16 | |
| 3 | 35 | |
| 4 | 118 | |
| 5 | Artefact detection in video endoscopy using retinanet and focal loss function | 2 |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | High-quality segmentation of low quality cardiac MR images using k-space artefact correction | 2 |
| 11 | 15 | |
| 12 | Time & Citation Networks. | 1 |
| 13 | 16 | |
| 14 | 28 | |
| 15 | Biomass combustion: Relationship between pollutant formation and fuel composition | 5 |
About James R. Clough
James R. Clough is a scholar working on Statistical and Nonlinear Physics, Radiology, Nuclear Medicine and Imaging and History and Philosophy of Science, having authored 15 papers that have together received 268 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Complex Network Analysis Techniques (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (91 citations), Health Informatics (6 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). James R. Clough has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Andrew P. King, İlkay Öksüz, Julia A. Schnabel, Nick Byrne, Veronika A. Zimmer, Tim Evans, Claudia Prieto, Thomas Küstner, Niccolò Fuin and Aurélien Bustin. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Magnetic Resonance in Medicine.
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.