Jim Diamond
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Digital Imaging for Blood Diseases 3
- Image Retrieval and Classification Techniques 1
-
- AI in cancer detection 4
- Co-authors
- Peter Hamilton (6 shared papers)Paul G. O’Reilly (1 shared paper)Hammad Qureshi (1 shared paper)Adrian Ion‐Mărgineanu (1 shared paper)Ahmed Serag (1 shared paper)Danny Crookes (4 shared papers)Yinhai Wang (2 shared papers)Shilan Wang (1 shared paper)
- Journals
- Cytometry Part A (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Analytical Cellular Pathology (1 paper)Frontiers in Medicine (1 paper)International Journal of Clothing Science and Technology (1 paper)
- Partner nations
- United KingdomIrelandChina
In The Last Decade
Jim Diamond
9 papers receiving 286 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 37
- Biophysics 38
- Artificial Intelligence 162
- Radiology, Nuclear Medicine and Imaging 103
- Computer Vision and Pattern Recognition 56
Countries citing papers authored by Jim Diamond
This map shows the geographic impact of Jim Diamond'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 Jim Diamond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Diamond more than expected).
Fields of papers citing papers by Jim Diamond
This network shows the impact of papers produced by Jim Diamond. 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 Jim Diamond. The network helps show where Jim Diamond may publish in the future.
Co-authors
The 23 scholars most cited alongside Jim Diamond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 168 | |
| 2 | 2009 | 61 | |
| 3 | 1992 | 16 | |
| 4 | 2010 | 14 | |
| 5 | 2007 | 9 | |
| 6 | 2006 | 9 | |
| 7 | 2007 | 9 | |
| 8 | 2010 | 5 | |
| 9 | 2016 | 1 |
About Jim Diamond
Jim Diamond is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, Molecular Biology and Epidemiology, having authored 9 papers that have together received 292 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Digital Imaging for Blood Diseases (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Cancer Cells and Metastasis (2 papers), Cervical Cancer and HPV Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Genetic factors in colorectal cancer (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Health Informatics (37 citations), Biophysics (38 citations), Artificial Intelligence (162 citations), Radiology, Nuclear Medicine and Imaging (103 citations) and Computer Vision and Pattern Recognition (56 citations). Jim Diamond has collaborated with scholars based in United Kingdom, Ireland and China. Frequent co-authors include Peter Hamilton, Paul G. O’Reilly, Hammad Qureshi, Adrian Ion‐Mărgineanu, Ahmed Serag, Danny Crookes, Yinhai Wang, Shilan Wang, John S. McCartney and B.K. Hinds. Their work appears in journals such as Cytometry Part A, IEEE Journal of Selected Topics in Signal Processing, Analytical Cellular Pathology, Frontiers in Medicine and International Journal of Clothing Science and Technology.
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.