Colm J. McGinnity
- Radiology, Nuclear Medicine and Imaging top 5%
- Cellular and Molecular Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Alexander HammersAndrew J. ReaderMartín A. BelzunceSam EllisAbolfazl MehranianMatthias J. KoeppDaniela A. Riaño BarrosDavid J. Brooks
- Topics
- Medical Imaging Techniques and Applications (25 papers)Advanced MRI Techniques and Applications (18 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
- Partner nations
- United KingdomFranceJapan
In The Last Decade
Colm J. McGinnity
38 papers receiving 554 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 256
- Cellular and Molecular Neuroscience 141
- Psychiatry and Mental health 97
- Cognitive Neuroscience 81
- Biomedical Engineering 80
Countries citing papers authored by Colm J. McGinnity
This map shows the geographic impact of Colm J. McGinnity'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 Colm J. McGinnity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colm J. McGinnity more than expected).
Fields of papers citing papers by Colm J. McGinnity
This network shows the impact of papers produced by Colm J. McGinnity. 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 Colm J. McGinnity. The network helps show where Colm J. McGinnity may publish in the future.
Co-authorship network of co-authors of Colm J. McGinnity
This figure shows the co-authorship network connecting the top 25 collaborators of Colm J. McGinnity. A scholar is included among the top collaborators of Colm J. McGinnity 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 Colm J. McGinnity. Colm J. McGinnity is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 52 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 35 | |
| 16 | 16 | |
| 17 | 58 | |
| 18 | 16 | |
| 19 | 19 | |
| 20 | 95 |
About Colm J. McGinnity
Colm J. McGinnity is a scholar working on Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 558 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (18 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (256 citations), Developmental Neuroscience (43 citations) and Biological Psychiatry (24 citations). Colm J. McGinnity has collaborated with scholars based in United Kingdom, France and Japan. Frequent co-authors include Alexander Hammers, Andrew J. Reader, Martín A. Belzunce, Sam Ellis, Abolfazl Mehranian, Matthias J. Koepp, Daniela A. Riaño Barros, David J. Brooks, Federico Turkheimer and John S. Duncan. Their work appears in journals such as NeuroImage, Scientific Reports 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.