Rhodri Smith

570 citations
39 papers · 430 · h-index 11

Impact in

Papers in

Rhodri Smith

38 papers receiving 413 citations

Peers

Rhodri Smith
Comparison fields: 5 of 63
  • Instrumentation 37
  • Immunology 120
  • Rheumatology 72
  • Dermatology 41
  • Astronomy and Astrophysics 73
Replace Yasuyuki Sato with:
Yasuyuki Sato Japan
Ricardo González United States
Keiichi Sakurai Japan
Andreas O. H. Gerstner Germany
Payal Jain United States
Shi‐Xin Zhang China
Dezső Ribli Hungary
Hiroshi Tezuka Japan
Morgan Darrow United States
Xinli Hu United States
Rhodri Smith relative to Yasuyuki Sato Japan Yasuyuki Sato's profile →
Citations per field
00.5×6.2×
Yasuyuki Sato · 1×
Citations per year

Countries citing papers authored by Rhodri Smith

Since Specialization
Citations

This map shows the geographic impact of Rhodri Smith'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 Rhodri Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rhodri Smith more than expected).

Fields of papers citing papers by Rhodri Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhodri Smith. 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 Rhodri Smith. The network helps show where Rhodri Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Rhodri Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rhodri Smith Line = papers co-authored together Rhodri Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008116
2 200353
3 199634
4 201126
5 201823
6 200122
7 200621
8 200911
9 201911
10 201210
11 199910
12 19998
13 20187
14 20197
15 20027
16
Deep learning pre-clinical medical image segmentation for automated organ-wise delineation of PET
20187
17 20235
18 20205
19
Genetic variation across the methotrexate metabolic pathway and its influence upon treatment outcomes in patients with psoriasis.
20074
20 20244

About Rhodri Smith

Rhodri Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Biomedical Engineering, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 39 papers that have together received 430 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (20 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Advanced Radiotherapy Techniques (7 papers), Advanced X-ray and CT Imaging (7 papers), Petri Nets in System Modeling (6 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Advanced MRI Techniques and Applications (5 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Instrumentation (37 citations), Immunology (120 citations), Rheumatology (72 citations), Dermatology (41 citations) and Astronomy and Astrophysics (73 citations). Rhodri Smith has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include C.E.M. Griffiths, Jane Worthington, Anne Barton, Andreas Bück, Ian N Bruce, Pauline Ho, Helen Young, Kevin Wells, V. Testa and S. Sabatini. Their work appears in journals such as British Journal of Dermatology, Monthly Notices of the Royal Astronomical Society, European Journal of Cancer, Clinical Cancer Research and Journal of Clinical Oncology.

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.

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