Richard V. Stebbing
- Computer Vision and Pattern Recognition top 10%
- Pediatrics, Perinatology and Child Health
- Human-Computer Interaction top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- J. Alison NobleAna I. L. NambureteB. KempMohammad YaqubAris T. PapageorghiouVarun RamakrishnaJonathan M. TaylorJamie Shotton
- Topics
- Medical Image Segmentation Techniques (5 papers)Cardiac Valve Diseases and Treatments (2 papers)Fetal and Pediatric Neurological Disorders (2 papers)
- Journals
- Medical Image Analysis
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Richard V. Stebbing
9 papers receiving 162 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 80
- Pediatrics, Perinatology and Child Health 57
- Human-Computer Interaction 38
- Artificial Intelligence 34
- Radiology, Nuclear Medicine and Imaging 32
Countries citing papers authored by Richard V. Stebbing
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | Diagnostic Plane Extraction from 3D Parametric Surface of the Fetal Cranium. | 5 |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 54 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 |
About Richard V. Stebbing
Richard V. Stebbing is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 9 papers that have together received 166 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Cardiac Valve Diseases and Treatments (2 papers) and Fetal and Pediatric Neurological Disorders (2 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (80 citations). Richard V. Stebbing has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include J. Alison Noble, Ana I. L. Namburete, B. Kemp, Mohammad Yaqub, Aris T. Papageorghiou, Varun Ramakrishna, Jonathan M. Taylor, Jamie Shotton, Aaron Hertzmann and Shahram Izadi. Their work appears in journals such as Medical Image Analysis.
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.