John D. Hoford
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Atomic and Molecular Physics, and Optics
- Co-authors
- Eric A. HoffmanWayne MitznerElias A. ZerhouniS. A. WoodRuzena BajcsyS. KovacicMartin ReivichRobert Dann
- Topics
- Medical Image Segmentation Techniques (4 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers)Medical Imaging and Analysis (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- Journal of Applied PhysiologyJournal of Computer Assisted TomographyComputerized Medical Imaging and Graphics
- Partner nations
- United States
In The Last Decade
John D. Hoford
9 papers receiving 325 citations
Peers
Comparison fields: 5 of 69
- Pulmonary and Respiratory Medicine 145
- Radiology, Nuclear Medicine and Imaging 106
- Computer Vision and Pattern Recognition 103
- Physiology 46
- Atomic and Molecular Physics, and Optics 35
Countries citing papers authored by John D. Hoford
This map shows the geographic impact of John D. Hoford'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 John D. Hoford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Hoford more than expected).
Fields of papers citing papers by John D. Hoford
This network shows the impact of papers produced by John D. Hoford. 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 John D. Hoford. The network helps show where John D. Hoford may publish in the future.
Co-authorship network of co-authors of John D. Hoford
This figure shows the co-authorship network connecting the top 25 collaborators of John D. Hoford. A scholar is included among the top collaborators of John D. Hoford 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 John D. Hoford. John D. Hoford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 23 | |
| 4 | 128 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 70 | |
| 8 | 68 | |
| 9 | 9 |
About John D. Hoford
John D. Hoford is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 332 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (23 citations), Computer Vision and Pattern Recognition (103 citations) and Radiology, Nuclear Medicine and Imaging (106 citations). John D. Hoford has collaborated with scholars based in United States. Frequent co-authors include Eric A. Hoffman, Wayne Mitzner, Elias A. Zerhouni, S. A. Wood, Ruzena Bajcsy, S. Kovacic, Martin Reivich, Robert Dann, Krishanu B. Gupta and Steven D. Kugelmass. Their work appears in journals such as Journal of Applied Physiology, Journal of Computer Assisted Tomography and Computerized Medical Imaging and Graphics.
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.