I. Hutt
Impact in
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- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in ⓘ
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- Radio, Podcasts, and Digital Media 2
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- Innovations in Educational Methods 2
- Reflective Practices in Education 1
- Education and Critical Thinking Development 1
- Co-authors
- Caroline Boggis (4 shared papers)Susan Astley (3 shared papers)John Suckling (1 shared paper)Emmanuel A. Stamatakis (1 shared paper)James Parker (1 shared paper)Ian W. Ricketts (1 shared paper)PM Taylor (1 shared paper)Dibendu Betal (1 shared paper)
- Journals
- Clinical Radiology (1 paper)Medical Image Analysis (1 paper)Higher Education Research & Development (1 paper)The Journal of Educators Online (1 paper)International Journal of Pattern Recognition and Artificial Intelligence (1 paper)
- Partner nations
- United KingdomQatar
In The Last Decade
I. Hutt
9 papers receiving 970 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 607
- Artificial Intelligence 821
- Radiology, Nuclear Medicine and Imaging 356
- Media Technology 96
- Neurology 65
Countries citing papers authored by I. Hutt
This map shows the geographic impact of I. Hutt'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 I. Hutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Hutt more than expected).
Fields of papers citing papers by I. Hutt
This network shows the impact of papers produced by I. Hutt. 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 I. Hutt. The network helps show where I. Hutt may publish in the future.
Co-authors
The 23 scholars most cited alongside I. Hutt, 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 | The Mammographic Image Analysis Society digital mammogram database Hit paper breakdown → | 1994 | 848 |
| 2 | 1999 | 61 | |
| 3 | 1997 | 37 | |
| 4 | 2017 | 30 | |
| 5 | 1993 | 23 | |
| 6 | 2014 | 23 | |
| 7 | 1993 | 18 | |
| 8 | 2012 | 12 | |
| 9 | Richness,responsiveness and relationship: Using rich media materials to enhance teaching of core concepts | 2012 | 8 |
About I. Hutt
I. Hutt is a scholar working on Communication, Education, Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Innovations in Educational Methods (2 papers), Radio, Podcasts, and Digital Media (2 papers), Reflective Practices in Education (1 paper), Education and Critical Thinking Development (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (607 citations), Artificial Intelligence (821 citations), Radiology, Nuclear Medicine and Imaging (356 citations), Media Technology (96 citations) and Neurology (65 citations). I. Hutt has collaborated with scholars based in United Kingdom and Qatar. Frequent co-authors include Caroline Boggis, Susan Astley, John Suckling, Emmanuel A. Stamatakis, James Parker, Ian W. Ricketts, PM Taylor, Dibendu Betal, Chris Taylor and C. R. M. Boggis. Their work appears in journals such as Clinical Radiology, Medical Image Analysis, Higher Education Research & Development, The Journal of Educators Online and International Journal of Pattern Recognition and Artificial Intelligence.
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.