John Suckling

573 total citations
4 papers, 55 citations indexed

About

John Suckling is a scholar working on Molecular Biology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, John Suckling has authored 4 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Cognitive Neuroscience and 1 paper in Artificial Intelligence. Recurrent topics in John Suckling's work include Functional Brain Connectivity Studies (1 paper), Machine Learning in Bioinformatics (1 paper) and Medical Imaging Techniques and Applications (1 paper). John Suckling is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Machine Learning in Bioinformatics (1 paper) and Medical Imaging Techniques and Applications (1 paper). John Suckling collaborates with scholars based in United Kingdom, Spain and Germany. John Suckling's co-authors include Javier Ramı́rez, J. M. Górriz, Lyn S. Pilowsky, Peter J. Ell, C. Jiménez-Mesa, Johannes Levin, Michael Brammer, Jonathan Vöglein, Paul D. Acton and Peter J. Lambert and has published in prestigious journals such as Pattern Recognition, European Journal of Nuclear Medicine and Molecular Imaging and Information Fusion.

In The Last Decade

John Suckling

4 papers receiving 53 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Suckling United Kingdom	4	18	16	9	8	8	4	55
Benjamin Charlier France	7	30 1.7×	13 0.8×	3 0.3×	16 2.0×	19 2.4×	10	119
Sigang Yu China	6	19 1.1×	35 2.2×	5 0.6×	8 1.0×	19 2.4×	12	79
René Labounek Czechia	8	39 2.2×	39 2.4×	10 1.1×	2 0.3×	2 0.3×	18	108
Christos Androutsos Greece	4	11 0.6×	7 0.4×	2 0.2×	9 1.1×	22 2.8×	6	90
Mahmood Alhusseini United States	12	33 1.8×	22 1.4×	3 0.3×	3 0.4×	12 1.5×	33	436
Ioanna Skampardoni United States	6	16 0.9×	21 1.3×	2 0.2×	14 1.8×	21 2.6×	7	126
Hongtu Zhu United States	6	27 1.5×	24 1.5×	2 0.2×	4 0.5×	11 1.4×	35	89
Mengyu Dai United States	4	21 1.2×	32 2.0×	4 0.4×	10 1.3×	7 0.9×	6	52
Fabián Pedregosa United States	5	21 1.2×	36 2.3×	5 0.6×	4 0.5×	22 2.8×	12	76
J. Samuel Preston United States	4	23 1.3×	10 0.6×	1 0.1×	34 4.3×	10 1.3×	7	74

Countries citing papers authored by John Suckling

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of John Suckling

This figure shows the co-authorship network connecting the top 25 collaborators of John Suckling. A scholar is included among the top collaborators of John Suckling 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 John Suckling. John Suckling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Jiménez-Mesa, C., Javier Ramı́rez, John Suckling, et al.. (2022). A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Information Fusion. 91. 598–611. 16 indexed citations

2.

Górriz, J. M., Javier Ramı́rez, & John Suckling. (2019). On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging. Pattern Recognition. 93. 1–13. 21 indexed citations

3.

Acton, Paul D., Lyn S. Pilowsky, John Suckling, Michael Brammer, & Peter J. Ell. (1997). Registration of dynamic dopamine D 2 receptor images using principal component analysis. European Journal of Nuclear Medicine and Molecular Imaging. 24(11). 1405–1412. 15 indexed citations

4.

Lambert, Peter J. & John Suckling. (1984). The revenue elasticity of the Zimbabwean individual income tax 1967-1981. 1(3). 1–9. 3 indexed citations

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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