Ruhani Doda Khera
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Mannudeep K. KalraFatemeh HomayouniehChayanin NitiwarangkulGe WangAtul PadoleUwe KrügerHongming ShanRamandeep Singh
- Topics
- Advanced X-ray and CT Imaging (8 papers)Radiation Dose and Imaging (7 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEuropean Radiology
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Ruhani Doda Khera
14 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Radiology, Nuclear Medicine and Imaging 448
- Biomedical Engineering 282
- Pulmonary and Respiratory Medicine 98
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 33
Countries citing papers authored by Ruhani Doda Khera
This map shows the geographic impact of Ruhani Doda Khera'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 Ruhani Doda Khera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruhani Doda Khera more than expected).
Fields of papers citing papers by Ruhani Doda Khera
This network shows the impact of papers produced by Ruhani Doda Khera. 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 Ruhani Doda Khera. The network helps show where Ruhani Doda Khera may publish in the future.
Co-authorship network of co-authors of Ruhani Doda Khera
This figure shows the co-authorship network connecting the top 25 collaborators of Ruhani Doda Khera. A scholar is included among the top collaborators of Ruhani Doda Khera 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 Ruhani Doda Khera. Ruhani Doda Khera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 57 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 16 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 68 | |
| 11 | 7 | |
| 12 | 35 | |
| 13 | Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstructionbreakdown → | 280 |
| 14 | 8 |
About Ruhani Doda Khera
Ruhani Doda Khera is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Internal Medicine, having authored 14 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (8 papers), Radiation Dose and Imaging (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (448 citations) and Biomedical Engineering (282 citations). Ruhani Doda Khera has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Mannudeep K. Kalra, Fatemeh Homayounieh, Chayanin Nitiwarangkul, Ge Wang, Atul Padole, Uwe Krüger, Hongming Shan, Ramandeep Singh, Subba R. Digumarthy and Madan M. Rehani. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and European 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.