Daniel Winfield

417 citations
12 papers · 306 · h-index 4

Impact in

Papers in

Daniel Winfield

10 papers receiving 287 citations

Peers

Daniel Winfield
Comparison fields: 5 of 55
  • Human-Computer Interaction 231
  • Ophthalmology 129
  • Urban Studies 23
  • Computer Vision and Pattern Recognition 67
  • Cognitive Neuroscience 57
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Countries citing papers authored by Daniel Winfield

Since Specialization
Citations

This map shows the geographic impact of Daniel Winfield'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 Daniel Winfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Winfield more than expected).

Fields of papers citing papers by Daniel Winfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Winfield. 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 Daniel Winfield. The network helps show where Daniel Winfield may publish in the future.

Co-authors

The 16 scholars most cited alongside Daniel Winfield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Winfield Line = papers co-authored together Daniel Winfield links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2006276
2 199413
3 19975
4 19913
5
Digital mammography, cancer screening: Factors important for image compression
19933
6
Adademic Radiology 5(suppl.3): S465-501, Technology transfer workshop in breast cancer detection, diagnosis, and treatment: Final Report:
19981
7
Academic Radiology 6(suppl.6): S259-S300, Report of the joint working group on quantitative in vivo functional imaging on oncology
19991
8
Academic Radiology 6 (suppl.4): S193-S220, Report of the working group on digital mammography: Digital displays and workstation design:
19991
9
Space solutions for Earthbound medical problems
19871
10
A Framework for Estimating the National Economic Benefits of ATP Funding of Medical Technologies
19981
11
Engineering derivatives from biological systems for advanced aerospace applications
19911
12
Report of the Joint Working Group on Telemammography/Teleradiology and Information Management
19990

About Daniel Winfield

Daniel Winfield is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Aerospace Engineering and Molecular Biology, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Spaceflight effects on biology (4 papers), Space Exploration and Technology (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Gaze Tracking and Assistive Technology (1 paper), Innovation Diffusion and Forecasting (1 paper), Medical Imaging Techniques and Applications (1 paper) and Digital Radiography and Breast Imaging (1 paper). The work is most often cited by research in Human-Computer Interaction (231 citations), Ophthalmology (129 citations), Urban Studies (23 citations), Computer Vision and Pattern Recognition (67 citations) and Cognitive Neuroscience (57 citations). Daniel Winfield has collaborated with scholars based in United States and Canada. Frequent co-authors include Derrick Parkhurst, Dongheng Li, Martin L. Silbiger, Samuel J. Dwyer, Faina Shtern, Stephen J. Brown, Laurence P. Clarke, Martin J. Yaffe, D.J. Rouse and Mohan Bala. Their work appears in journals such as Academic Radiology, Acta Astronautica, Investigative Radiology, PDXScholar (Portland State University) and NASA Technical Reports Server (NASA).

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.

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