Greg Ross
Impact in
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
- Sports injuries and prevention
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- Data Visualization and Analytics
- Image Retrieval and Classification Techniques
Papers in
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- Data Visualization and Analytics 5
- Image Retrieval and Classification Techniques 2
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- Data Management and Algorithms 5
- Co-authors
- Matthew Chalmers (5 shared papers)Alistair Morrison (3 shared papers)Ian Watt (1 shared paper)Suzanne Grant (1 shared paper)Dorothy McLean (1 shared paper)Andrew Murray (1 shared paper)Madhur Upadhyay (1 shared paper)Aditya Tadinada (1 shared paper)
- Journals
- Information Visualization (2 papers)Orthodontics and Craniofacial Research (1 paper)Journal of Sports Sciences (1 paper)OpenCommons - UConn (University of Connecticut) (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Greg Ross
8 papers receiving 165 citations
Peers
Comparison fields: 5 of 51
- Orthopedics and Sports Medicine 43
- Computer Vision and Pattern Recognition 109
- Signal Processing 55
- Computer Graphics and Computer-Aided Design 16
- Computational Mathematics 1
Countries citing papers authored by Greg Ross
This map shows the geographic impact of Greg Ross'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 Greg Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Ross more than expected).
Fields of papers citing papers by Greg Ross
This network shows the impact of papers produced by Greg Ross. 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 Greg Ross. The network helps show where Greg Ross may publish in the future.
Co-authors
The 11 scholars most cited alongside Greg Ross, 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 | 2003 | 68 | |
| 2 | 2005 | 45 | |
| 3 | 2003 | 44 | |
| 4 | 2003 | 13 | |
| 5 | 2004 | 8 | |
| 6 | 2022 | 5 | |
| 7 | 2004 | 5 | |
| 8 | Three-dimensional Analysis of the Impacted Maxillary Canine: Localization and Assessment of Severity | 2014 | 1 |
About Greg Ross
Greg Ross is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Molecular Biology, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 8 papers that have together received 189 indexed citations. Recurring topics across this work include Data Management and Algorithms (5 papers), Data Visualization and Analytics (5 papers), Image Retrieval and Classification Techniques (2 papers), dental development and anomalies (2 papers), Body Composition Measurement Techniques (1 paper), Dental Trauma and Treatments (1 paper), Dental Implant Techniques and Outcomes (1 paper) and Sports injuries and prevention (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (43 citations), Computer Vision and Pattern Recognition (109 citations), Signal Processing (55 citations), Computer Graphics and Computer-Aided Design (16 citations) and Computational Mathematics (1 citation). Greg Ross has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Matthew Chalmers, Alistair Morrison, Ian Watt, Suzanne Grant, Dorothy McLean, Andrew Murray, Madhur Upadhyay, Aditya Tadinada, Sumit Yadav and Sarah Abu Arqub. Their work appears in journals such as Information Visualization, Orthodontics and Craniofacial Research, Journal of Sports Sciences and OpenCommons - UConn (University of Connecticut).
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.