David R. Haynor
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 2%
- Surgery top 2%
- Molecular Biology top 10%
- Co-authors
- T.K. LewellenHubert VesselleWilliam B. EubankWalter L. RuzzoKa Yee YeungRichard A. DeyoYongmin KimY. Kim
- Topics
- Medical Imaging Techniques and Applications (54 papers)Medical Image Segmentation Techniques (34 papers)Advanced X-ray and CT Imaging (28 papers)
- Partner nations
- United StatesUnited KingdomEgypt
In The Last Decade
David R. Haynor
206 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Radiology, Nuclear Medicine and Imaging 2.8k
- Computer Vision and Pattern Recognition 1.5k
- Biomedical Engineering 1.5k
- Surgery 1.3k
- Molecular Biology 1.1k
Countries citing papers authored by David R. Haynor
This map shows the geographic impact of David R. Haynor'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 David R. Haynor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Haynor more than expected).
Fields of papers citing papers by David R. Haynor
This network shows the impact of papers produced by David R. Haynor. 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 David R. Haynor. The network helps show where David R. Haynor may publish in the future.
Co-authorship network of co-authors of David R. Haynor
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Haynor. A scholar is included among the top collaborators of David R. Haynor 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 David R. Haynor. David R. Haynor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 36 | |
| 8 | 28 | |
| 9 | 101 | |
| 10 | Medical Imaging 2010: Physics of Medical Imaging | 77 |
| 11 | 55 | |
| 12 | 32 | |
| 13 | 7 | |
| 14 | 80 | |
| 15 | Medical image computing and computer-assisted intervention - MICCAI 2004 : 7th International Conference, Saint-Malo, France, September 26-29, 2004 : proceedings | 4 |
| 16 | 18 | |
| 17 | 10 | |
| 18 | 22 | |
| 19 | 14 | |
| 20 | The design analysis of a medical imaging workstation | 1 |
About David R. Haynor
David R. Haynor is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Computer Vision and Pattern Recognition, having authored 215 papers that have together received 7.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (54 papers), Medical Image Segmentation Techniques (34 papers) and Advanced X-ray and CT Imaging (28 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Computer Vision and Pattern Recognition (1.5k citations) and Neurology (600 citations). David R. Haynor has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include T.K. Lewellen, Hubert Vesselle, William B. Eubank, Walter L. Ruzzo, Ka Yee Yeung, Richard A. Deyo, Yongmin Kim, Y. Kim, Michel Kliot and Dev S. Pathak. Their work appears in journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.
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.