Robert Falk
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
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- Lung Cancer Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 27
- Medical Imaging Techniques and Applications 6
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- Medical Image Segmentation Techniques 16
- Image Retrieval and Classification Techniques 7
- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Ayman El‐Baz (29 shared papers)Georgy Gimel’farb (26 shared papers)Mohamed Abou El‐Ghar (22 shared papers)Aly A. Farag (28 shared papers)Ahmed Elnakib (6 shared papers)Amal Farag (8 shared papers)Matthew Nitzken (4 shared papers)Fahmi Khalifa (4 shared papers)
- Journals
- Lecture notes in computer science (14 papers)CHEST Journal (1 paper)Academic Radiology (1 paper)Biotechnology Journal (1 paper)Journal of cardiovascular computed tomography (1 paper)
- Partner nations
- United StatesEgyptNew Zealand
In The Last Decade
Robert Falk
52 papers receiving 865 citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 613
- Pulmonary and Respiratory Medicine 400
- Ophthalmology 97
- Computer Vision and Pattern Recognition 236
- Artificial Intelligence 217
Countries citing papers authored by Robert Falk
This map shows the geographic impact of Robert Falk'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 Robert Falk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Falk more than expected).
Fields of papers citing papers by Robert Falk
This network shows the impact of papers produced by Robert Falk. 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 Robert Falk. The network helps show where Robert Falk may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Falk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 57 | |
| 2 | 2011 | 48 | |
| 3 | 2008 | 45 | |
| 4 | 2013 | 42 | |
| 5 | 2003 | 41 | |
| 6 | 2011 | 40 | |
| 7 | 2011 | 37 | |
| 8 | 2010 | 34 | |
| 9 | 2004 | 29 | |
| 10 | 2011 | 29 | |
| 11 | 2008 | 29 | |
| 12 | 2004 | 28 | |
| 13 | 2006 | 26 | |
| 14 | 2007 | 26 | |
| 15 | 2006 | 25 | |
| 16 | 2020 | 23 | |
| 17 | 2010 | 21 | |
| 18 | 2009 | 19 | |
| 19 | 2012 | 19 | |
| 20 | 2012 | 19 |
About Robert Falk
Robert Falk is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology, having authored 55 papers that have together received 893 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (27 papers), Lung Cancer Diagnosis and Treatment (23 papers), AI in cancer detection (17 papers), Medical Image Segmentation Techniques (16 papers), Colorectal Cancer Screening and Detection (12 papers), Image Retrieval and Classification Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (613 citations), Pulmonary and Respiratory Medicine (400 citations), Ophthalmology (97 citations), Computer Vision and Pattern Recognition (236 citations) and Artificial Intelligence (217 citations). Robert Falk has collaborated with scholars based in United States, Egypt and New Zealand. Frequent co-authors include Ayman El‐Baz, Georgy Gimel’farb, Mohamed Abou El‐Ghar, Aly A. Farag, Ahmed Elnakib, Amal Farag, Matthew Nitzken, Fahmi Khalifa, James Graham and M. Sabry Hassouna. Their work appears in journals such as Lecture notes in computer science, CHEST Journal, Academic Radiology, Biotechnology Journal and Journal of cardiovascular computed tomography.
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.