Paul Smyth
- Biomedical Engineering
- Nuclear and High Energy Physics top 10%
- Computer Vision and Pattern Recognition top 10%
- Astronomy and Astrophysics top 10%
- Surgery
- Co-authors
- Chris TaylorJudith E. AdamsJ.E. AdamsJan LouisHagen TriendlBert VercnockeThomas Van RietRichard W. Whitehousé
- Topics
- Black Holes and Theoretical Physics (8 papers)Cosmology and Gravitation Theories (7 papers)Particle physics theoretical and experimental studies (3 papers)
- Journals
- Nuclear Physics BRadiologyPhilosophical Transactions of the Royal Society B Biological Sciences
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Paul Smyth
15 papers receiving 270 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 107
- Nuclear and High Energy Physics 94
- Computer Vision and Pattern Recognition 78
- Astronomy and Astrophysics 74
- Surgery 50
Countries citing papers authored by Paul Smyth
This map shows the geographic impact of Paul Smyth'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 Paul Smyth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Smyth more than expected).
Fields of papers citing papers by Paul Smyth
This network shows the impact of papers produced by Paul Smyth. 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 Paul Smyth. The network helps show where Paul Smyth may publish in the future.
Co-authorship network of co-authors of Paul Smyth
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Smyth. A scholar is included among the top collaborators of Paul Smyth 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 Paul Smyth. Paul Smyth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Machine learning in the biopharma industry. | 2 |
| 2 | An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting. | 1 |
| 3 | Machine learning in research and development of new vaccines products: opportunities and challenges. | 2 |
| 4 | On Certain Kähler Quotients of Quaternionic Kähler Manifolds | 0 |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 12 | |
| 9 | 35 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 76 | |
| 13 | 26 | |
| 14 | 52 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | A High-Speed Distortionless Predictive Image-Compression Scheme | 12 |
About Paul Smyth
Paul Smyth is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Biophysics, having authored 17 papers that have together received 286 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (8 papers), Cosmology and Gravitation Theories (7 papers) and Particle physics theoretical and experimental studies (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (94 citations), Orthopedics and Sports Medicine (42 citations) and Astronomy and Astrophysics (74 citations). Paul Smyth has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Chris Taylor, Judith E. Adams, J.E. Adams, Jan Louis, Hagen Triendl, Bert Vercnocke, Thomas Van Riet, Richard W. Whitehousé, Jean-Luc Lehners and K.S. Stelle. Their work appears in journals such as Nuclear Physics B, Radiology and Philosophical Transactions of the Royal Society B Biological Sciences.
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.