John Suckling
Impact in
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- Functional Brain Connectivity Studies
Papers in
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- Machine Learning in Bioinformatics 1
- Gene expression and cancer classification 1
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- Functional Brain Connectivity Studies 1
- Co-authors
- J. M. Górriz (2 shared papers)Javier Ramı́rez (2 shared papers)Johannes Levin (1 shared paper)Michael Brammer (1 shared paper)C. Jiménez-Mesa (1 shared paper)Jonathan Vöglein (1 shared paper)Paul D. Acton (1 shared paper)Lyn S. Pilowsky (1 shared paper)
- Journals
- Information Fusion (1 paper)Pattern Recognition (1 paper)European Journal of Nuclear Medicine and Molecular Imaging (1 paper)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
John Suckling
4 papers receiving 53 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 9
- Cognitive Neuroscience 16
- Radiology, Nuclear Medicine and Imaging 18
- Neurology 5
- Neurology 7
Countries citing papers authored by John Suckling
This map shows the geographic impact of John Suckling'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 John Suckling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Suckling more than expected).
Fields of papers citing papers by John Suckling
This network shows the impact of papers produced by John Suckling. 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 John Suckling. The network helps show where John Suckling may publish in the future.
Co-authors
The 10 scholars most cited alongside John Suckling, 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 | 21 | |
| 2 | 2022 | 16 | |
| 3 | 1997 | 15 | |
| 4 | The revenue elasticity of the Zimbabwean individual income tax 1967-1981 | 1984 | 3 |
About John Suckling
John Suckling is a scholar working on Molecular Biology, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics, having authored 4 papers that have together received 55 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper), Machine Learning and Algorithms (1 paper), Advanced MRI Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper), Functional Brain Connectivity Studies (1 paper) and Fiscal Policy and Economic Growth (1 paper). The work is most often cited by research in Signal Processing (9 citations), Cognitive Neuroscience (16 citations), Radiology, Nuclear Medicine and Imaging (18 citations), Neurology (5 citations) and Neurology (7 citations). John Suckling has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include J. M. Górriz, Javier Ramı́rez, Johannes Levin, Michael Brammer, C. Jiménez-Mesa, Jonathan Vöglein, Paul D. Acton, Lyn S. Pilowsky, Peter J. Ell and Peter J. Lambert. Their work appears in journals such as Information Fusion, Pattern Recognition and European Journal of Nuclear Medicine and Molecular Imaging.
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.