Ramandeep Singh
- Radiology, Nuclear Medicine and Imaging top 2%
- Biomedical Engineering top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Mannudeep K. KalraSubba R. DigumarthyFatemeh HomayouniehGe WangVictorine V. MuseChayanin NitiwarangkulAzadeh TabariAtul Padole
- Topics
- Advanced X-ray and CT Imaging (23 papers)Radiation Dose and Imaging (19 papers)Medical Imaging Techniques and Applications (10 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- United StatesIndiaThailand
In The Last Decade
Ramandeep Singh
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 844
- Biomedical Engineering 481
- Pulmonary and Respiratory Medicine 311
- Artificial Intelligence 108
- Computer Vision and Pattern Recognition 88
Countries citing papers authored by Ramandeep Singh
This map shows the geographic impact of Ramandeep Singh'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 Ramandeep Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramandeep Singh more than expected).
Fields of papers citing papers by Ramandeep Singh
This network shows the impact of papers produced by Ramandeep Singh. 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 Ramandeep Singh. The network helps show where Ramandeep Singh may publish in the future.
Co-authorship network of co-authors of Ramandeep Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Ramandeep Singh. A scholar is included among the top collaborators of Ramandeep Singh 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 Ramandeep Singh. Ramandeep Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 21 | |
| 6 | 3 | |
| 7 | 27 | |
| 8 | 23 | |
| 9 | 21 | |
| 10 | 19 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 26 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 143 | |
| 17 | 13 | |
| 18 | VALUE OF ULTRASOUND IN UNDERSTANDING LARYNGEAL ANATOMY: PICTORIAL REVIEW | 4 |
| 19 | 14 | |
| 20 | 3 |
About Ramandeep Singh
Ramandeep Singh is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Biomedical Engineering, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (23 papers), Radiation Dose and Imaging (19 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Health Informatics (75 citations), Radiology, Nuclear Medicine and Imaging (844 citations) and Critical Care and Intensive Care Medicine (57 citations). Ramandeep Singh has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include Mannudeep K. Kalra, Subba R. Digumarthy, Fatemeh Homayounieh, Ge Wang, Victorine V. Muse, Chayanin Nitiwarangkul, Azadeh Tabari, Atul Padole, Weiwen Wu and Avinash Kambadakone. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.