Robert Falk
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Co-authors
- Ayman El‐BazGeorgy Gimel’farbAly A. FaragMohamed Abou El‐GharAhmed ElnakibAmal FaragMatthew NitzkenJames Graham
- Topics
- Radiomics and Machine Learning in Medical Imaging (21 papers)Lung Cancer Diagnosis and Treatment (20 papers)AI in cancer detection (16 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineComputer Vision and Pattern Recognition
- Partner nations
- United StatesEgyptNew Zealand
In The Last Decade
Robert Falk
42 papers receiving 572 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 405
- Pulmonary and Respiratory Medicine 303
- Artificial Intelligence 192
- Computer Vision and Pattern Recognition 168
- Oncology 83
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-authorship network of co-authors of Robert Falk
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Falk. A scholar is included among the top collaborators of Robert Falk 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 Robert Falk. Robert Falk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 38 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 32 | |
| 12 | 17 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 29 | |
| 20 | "Truncation" artifact in MR images of the internal auditory canal. | 5 |
About Robert Falk
Robert Falk is a scholar working on Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 598 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Lung Cancer Diagnosis and Treatment (20 papers) and AI in cancer detection (16 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (405 citations), Pulmonary and Respiratory Medicine (303 citations) and Computer Vision and Pattern Recognition (168 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, Aly A. Farag, Mohamed Abou El‐Ghar, Ahmed Elnakib, Amal Farag, Matthew Nitzken, James Graham, Fahmi Khalifa and M. Sabry Hassouna. Their work appears in journals such as CHEST Journal, Pattern Recognition and American Journal of Neuroradiology.
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.