Ian W. Ricketts
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- General Health Professions top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Dibendu BetalSusan AstleyEmmanuel A. StamatakisPM TaylorJames ParkerCaroline BoggisJohn SucklingI. Hutt
- Topics
- AI in cancer detection (10 papers)Human Pose and Action Recognition (8 papers)Behavioral Health and Interventions (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONESocial Science & Medicine
- Partner nations
- United KingdomAustraliaAustria
In The Last Decade
Ian W. Ricketts
82 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 816
- Computer Vision and Pattern Recognition 700
- General Health Professions 374
- Radiology, Nuclear Medicine and Imaging 340
- Public Health, Environmental and Occupational Health 178
Countries citing papers authored by Ian W. Ricketts
This map shows the geographic impact of Ian W. Ricketts'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 Ian W. Ricketts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian W. Ricketts more than expected).
Fields of papers citing papers by Ian W. Ricketts
This network shows the impact of papers produced by Ian W. Ricketts. 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 Ian W. Ricketts. The network helps show where Ian W. Ricketts may publish in the future.
Co-authorship network of co-authors of Ian W. Ricketts
This figure shows the co-authorship network connecting the top 25 collaborators of Ian W. Ricketts. A scholar is included among the top collaborators of Ian W. Ricketts 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 Ian W. Ricketts. Ian W. Ricketts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 49 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | 133 | |
| 11 | 35 | |
| 12 | 15 | |
| 13 | 44 | |
| 14 | 38 | |
| 15 | A patient-centred wound management clinic: theory put into practice | 2 |
| 16 | Face Recognition in Fourier Space | 9 |
| 17 | 2 | |
| 18 | Intelligent system for speech and language impaired people: a portfolio of research | 11 |
| 19 | A comparison of neural network architectures for cervical cell classification | 9 |
| 20 | Automation in cervical cytology: an overview. | 12 |
About Ian W. Ricketts
Ian W. Ricketts is a scholar working on Human Factors and Ergonomics, Human-Computer Interaction and Applied Psychology, having authored 83 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Human Pose and Action Recognition (8 papers) and Behavioral Health and Interventions (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (700 citations), Human-Computer Interaction (142 citations) and Artificial Intelligence (816 citations). Ian W. Ricketts has collaborated with scholars based in United Kingdom, Australia and Austria. Frequent co-authors include Dibendu Betal, Susan Astley, Emmanuel A. Stamatakis, PM Taylor, James Parker, Caroline Boggis, John Suckling, I. Hutt, S.J. McKenna and Claire Jones. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Social Science & Medicine.
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.