David J. Foran
Impact in
- Health Informatics top 1%
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
- Biophysics 23
- Cell Image Analysis Techniques 22
-
- Image Retrieval and Classification Techniques 17
- Medical Image Segmentation Techniques 12
- Digital Imaging for Blood Diseases 11
- Co-authors
- Peter MeerLin YangWenjin ChenFrederick H. SilverXin QiFuyong XingIstván HorváthTahsin Kurç
- Journals
- IEEE Transactions on Biomedical Engineering (4 papers)BMC Bioinformatics (3 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)Journal of Pathology Informatics (3 papers)Academic Radiology (2 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
David J. Foran
108 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Health Informatics 117
- Biophysics 435
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 1.2k
- Radiology, Nuclear Medicine and Imaging 795
Countries citing papers authored by David J. Foran
This map shows the geographic impact of David J. Foran'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 J. Foran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Foran more than expected).
Fields of papers citing papers by David J. Foran
This network shows the impact of papers produced by David J. Foran. 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 J. Foran. The network helps show where David J. Foran may publish in the future.
Co-authors
The 25 scholars most cited alongside David J. Foran, 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 | 2021 | 50 | |
| 2 | 2020 | 11 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 35 | |
| 5 | 2018 | 109 | |
| 6 | 2018 | 9 | |
| 7 | 2015 | 19 | |
| 8 | 2012 | 106 | |
| 9 | 2012 | 6 | |
| 10 | 2012 | 5 | |
| 11 | 2011 | 46 | |
| 12 | 2010 | 11 | |
| 13 | 2009 | 9 | |
| 14 | 2009 | 10 | |
| 15 | 2009 | 6 | |
| 16 | 2008 | 22 | |
| 17 | 2008 | 28 | |
| 18 | 2007 | 23 | |
| 19 | 2007 | 1 | |
| 20 | 2003 | 118 |
About David J. Foran
David J. Foran is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include AI in cancer detection (45 papers), Cell Image Analysis Techniques (22 papers), Image Retrieval and Classification Techniques (17 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Medical Image Segmentation Techniques (12 papers), Digital Imaging for Blood Diseases (11 papers), Cellular Mechanics and Interactions (11 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Health Informatics (117 citations), Biophysics (435 citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (1.2k citations) and Radiology, Nuclear Medicine and Imaging (795 citations). David J. Foran has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Peter Meer, Lin Yang, Wenjin Chen, Frederick H. Silver, Xin Qi, Fuyong Xing, István Horváth, Tahsin Kurç, Lin Yang and Joel Saltz. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, BMC Bioinformatics, International Journal of Computer Assisted Radiology and Surgery, Journal of Pathology Informatics and Academic Radiology.
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.