Richard V. Stebbing

14 total papers · 549 total citations
9 papers, 165 citations indexed

About

Richard V. Stebbing is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Richard V. Stebbing has authored 9 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Richard V. Stebbing's work include Medical Image Segmentation Techniques (5 papers), Cardiac Valve Diseases and Treatments (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Richard V. Stebbing is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Cardiac Valve Diseases and Treatments (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). Richard V. Stebbing collaborates with scholars based in United Kingdom, United States and New Zealand. Richard V. Stebbing's co-authors include J. Alison Noble, Ana I. L. Namburete, B. Kemp, Mohammad Yaqub, Aris T. Papageorghiou, Jonathan M. Taylor, Varun Ramakrishna, Cem Keskin, Aaron Hertzmann and Andrew Fitzgibbon and has published in prestigious journals such as Medical Image Analysis.

In The Last Decade

Richard V. Stebbing

9 papers receiving 162 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Richard V. Stebbing	79	56	38	33	32	9	165
Michelle Guo	42 0.5×	4 0.1×	8 0.2×	40 1.2×	29 0.9×	9	166
Loïc Le Folgoc	64 0.8×	6 0.1×	2 0.1×	39 1.2×	73 2.3×	10	165
You-Lei Fu	52 0.7×	3 0.1×	6 0.2×	51 1.5×	62 1.9×	8	214
Wanni Xu	53 0.7×	3 0.1×	5 0.1×	51 1.5×	60 1.9×	11	205
Xindi Hu	113 1.4×	13 0.2×	2 0.1×	81 2.5×	96 3.0×	12	259
Keno März	36 0.5×	4 0.1×	3 0.1×	33 1.0×	51 1.6×	15	179
Min Joon Seo	52 0.7×	46 0.8×	4 0.1×	82 2.5×	8 0.3×	10	192
Raúl Arteche Díaz	94 1.2×	4 0.1×	3 0.1×	34 1.0×	12 0.4×	11	184
Ted Xiao	66 0.8×	8 0.1×	2 0.1×	57 1.7×	22 0.7×	16	189
Mohammad Khaleel Sallam Ma’aitah	48 0.6×	2 0.0×	10 0.3×	97 2.9×	174 5.4×	10	284

Countries citing papers authored by Richard V. Stebbing

Since Specialization

Citations

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

Fields of papers citing papers by Richard V. Stebbing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard V. Stebbing. 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 Richard V. Stebbing. The network helps show where Richard V. Stebbing may publish in the future.

Co-authorship network of co-authors of Richard V. Stebbing

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

All Works

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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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