Richard V. Stebbing

550 total citations
9 papers, 166 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 166 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, New Zealand and United States. Richard V. Stebbing's co-authors include J. Alison Noble, Ana I. L. Namburete, B. Kemp, Aris T. Papageorghiou, Mohammad Yaqub, Jamie Shotton, Andrew Fitzgibbon, Cem Keskin, Aaron Hertzmann and Jonathan M. Taylor and has published in prestigious journals such as Medical Image Analysis.

In The Last Decade

Richard V. Stebbing

9 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard V. Stebbing United Kingdom	6	80	57	38	34	32	9	166
Michelle Guo United States	6	42 0.5×	4 0.1×	8 0.2×	40 1.2×	30 0.9×	9	168
Arnaud Huaulmé France	9	58 0.7×	4 0.1×	8 0.2×	16 0.5×	9 0.3×	26	255
Loïc Le Folgoc United Kingdom	6	64 0.8×	6 0.1×	2 0.1×	39 1.1×	73 2.3×	10	166
Bernd Münzer Austria	9	218 2.7×	3 0.1×	4 0.1×	48 1.4×	34 1.1×	20	320
Ted Xiao United States	8	68 0.8×	8 0.1×	2 0.1×	57 1.7×	23 0.7×	17	210
Rafeef Garbi Canada	8	61 0.8×	3 0.1×	4 0.1×	28 0.8×	78 2.4×	14	182
Sylvia Rueda United Kingdom	9	92 1.1×	57 1.0×		47 1.4×	40 1.3×	23	218
Miaomiao Zhang United States	7	148 1.9×	6 0.1×		29 0.9×	69 2.2×	31	215
Benjamin Hou United Kingdom	8	77 1.0×	48 0.8×	1 0.0×	111 3.3×	131 4.1×	16	310
Jianwei Lin China	9	38 0.5×	21 0.4×		18 0.5×	78 2.4×	33	203

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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9 of 9 papers shown

1.

Namburete, Ana I. L., Richard V. Stebbing, B. Kemp, et al.. (2015). Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical Image Analysis. 21(1). 72–86. 67 indexed citations

2.

Namburete, Ana I. L., Richard V. Stebbing, & J. Alison Noble. (2014). Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium.. 27–32. 5 indexed citations

3.

Stebbing, Richard V., Ana I. L. Namburete, Ross Upton, Paul Leeson, & J. Alison Noble. (2014). Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography. Medical Image Analysis. 21(1). 29–39. 15 indexed citations

4.

Taylor, Jonathan M., Richard V. Stebbing, Varun Ramakrishna, et al.. (2014). User-Specific Hand Modeling from Monocular Depth Sequences. 644–651. 54 indexed citations

5.

Stebbing, Richard V., et al.. (2014). Endocardial Segmentation using Structured Random Forests in 3D Echocardiography. 11 indexed citations

6.

Stebbing, Richard V. & J. Alison Noble. (2013). Delineating anatomical boundaries using the boundary fragment model. Medical Image Analysis. 17(8). 1123–1136. 4 indexed citations

7.

McManigle, John E., Richard V. Stebbing, & J. Alison Noble. (2012). Modified Hough transform for left ventricle myocardium segmentation in 3-D echocardiogram images. 36. 290–293. 3 indexed citations

8.

Stebbing, Richard V., John E. McManigle, & J. Alison Noble. (2012). Interpreting edge information for improved endocardium delineation in echocardiograms. 30. 238–241. 1 indexed citations

9.

Huang, Chang-Yu, et al.. (2010). Implementation and evaluation of an IPT battery charging system in assisting grid frequency stabilisation through Dynamic Demand Control. 1–6. 6 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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