I. Hutt

1.6k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

I. Hutt is a scholar working on Artificial Intelligence, Education and Pulmonary and Respiratory Medicine. According to data from OpenAlex, I. Hutt has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Education and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in I. Hutt's work include AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). I. Hutt is often cited by papers focused on AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). I. Hutt collaborates with scholars based in United Kingdom and Qatar. I. Hutt's co-authors include Caroline Boggis, Susan Astley, Dibendu Betal, PM Taylor, Emmanuel A. Stamatakis, James Parker, John Suckling, Ian W. Ricketts, Chris Taylor and Mark Callaway and has published in prestigious journals such as Medical Image Analysis, Higher Education Research & Development and Clinical Radiology.

In The Last Decade

I. Hutt

9 papers receiving 970 citations

Hit Papers

The Mammographic Image Analysis Society digital mammogram... 1994 2026 2004 2015 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Hutt United Kingdom 9 821 607 356 127 104 9 1.1k
Marcelo Zanchetta do Nascimento Brazil 17 682 0.8× 508 0.8× 338 0.9× 42 0.3× 82 0.8× 91 997
Aly Fahmy Egypt 10 1.2k 1.5× 632 1.0× 781 2.2× 66 0.5× 79 0.8× 22 1.6k
David Bandon Switzerland 5 337 0.4× 885 1.5× 122 0.3× 61 0.5× 157 1.5× 11 1.1k
James Parker United States 8 724 0.9× 549 0.9× 319 0.9× 107 0.8× 95 0.9× 30 985
Lei Cui China 19 448 0.5× 590 1.0× 207 0.6× 40 0.3× 74 0.7× 42 1.0k
Abdul Majid Pakistan 14 217 0.3× 145 0.2× 179 0.5× 43 0.3× 125 1.2× 39 601
Lan Li China 14 479 0.6× 119 0.2× 342 1.0× 248 2.0× 58 0.6× 61 762
Matthias Elter Germany 11 406 0.5× 236 0.4× 232 0.7× 90 0.7× 92 0.9× 26 620
Mohammad Nassef Egypt 7 298 0.4× 83 0.1× 161 0.5× 96 0.8× 88 0.8× 20 573
Vivek Kumar Singh United States 16 356 0.4× 225 0.4× 274 0.8× 59 0.5× 45 0.4× 45 688

Countries citing papers authored by I. Hutt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of I. Hutt

This figure shows the co-authorship network connecting the top 25 collaborators of I. Hutt. A scholar is included among the top collaborators of I. Hutt 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 I. Hutt. I. Hutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Harrison, Roger, I. Hutt, Gary Motteram, et al.. (2017). A Cross-Sectional Study to Describe Academics' Confidence, Attitudes, and Experience of Online Distance Learning in Higher Education. The Journal of Educators Online. 14(2). 30 indexed citations
2.
Hutt, I., et al.. (2014). Enhancing large-class teaching: a systematic comparison of rich-media materials. Higher Education Research & Development. 34(6). 1233–1250. 23 indexed citations
3.
Hutt, I., et al.. (2012). Richness,responsiveness and relationship: Using rich media materials to enhance teaching of core concepts. Research Explorer (The University of Manchester). 8 indexed citations
4.
Hutt, I., et al.. (2012). Online PBL: a route to sustainability education?. Campus-Wide Information Systems. 29(4). 291–303. 12 indexed citations
5.
Hutt, I., et al.. (1999). Model-based detection of spiculated lesions in mammograms. Medical Image Analysis. 3(1). 39–62. 61 indexed citations
6.
Callaway, Mark, et al.. (1997). The influence of previous films on screening mammographic interpretation and detection of breast carcinoma. Clinical Radiology. 52(7). 527–529. 37 indexed citations
7.
Suckling, John, James Parker, Susan Astley, et al.. (1994). The Mammographic Image Analysis Society digital mammogram database. 848 indexed citations breakdown →
8.
Astley, Sue, I. Hutt, Peter I. Miller, et al.. (1993). AUTOMATION IN MAMMOGRAPHY: COMPUTER VISION AND HUMAN PERCEPTION. International Journal of Pattern Recognition and Artificial Intelligence. 7(6). 1313–1338. 18 indexed citations
9.
Astley, Susan, I. Hutt, Sylvia Adamson, et al.. (1993). <title>Automation in mammography: computer vision and human perception</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1905. 716–730. 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026