Awais Mansoor
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Neurology
- Computer Vision and Pattern Recognition
- Co-authors
- Marius George LinguraruJuan J. CerrolazaRobert A. AveryRoger J. PackerSaša GrbićFlorin C. GhesuGeovanny F. PérezGustavo Niño
- Topics
- COVID-19 diagnosis using AI (10 papers)Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Awais Mansoor
30 papers receiving 294 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 118
- Artificial Intelligence 70
- Pulmonary and Respiratory Medicine 62
- Neurology 58
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Awais Mansoor
This map shows the geographic impact of Awais Mansoor'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 Awais Mansoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Awais Mansoor more than expected).
Fields of papers citing papers by Awais Mansoor
This network shows the impact of papers produced by Awais Mansoor. 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 Awais Mansoor. The network helps show where Awais Mansoor may publish in the future.
Co-authorship network of co-authors of Awais Mansoor
This figure shows the co-authorship network connecting the top 25 collaborators of Awais Mansoor. A scholar is included among the top collaborators of Awais Mansoor 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 Awais Mansoor. Awais Mansoor 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 | 1 | |
| 3 | 6 | |
| 4 | 27 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 0 |
About Awais Mansoor
Awais Mansoor is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 305 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Informatics (36 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Critical Care and Intensive Care Medicine (21 citations). Awais Mansoor has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Marius George Linguraru, Juan J. Cerrolaza, Robert A. Avery, Roger J. Packer, Saša Grbić, Florin C. Ghesu, Geovanny F. Pérez, Gustavo Niño, Atif Bin Mansoor and Rawad Obeid. Their work appears in journals such as Neurology, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.