Ekta Dharaiya
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Surgery
- Artificial Intelligence
- Co-authors
- Charles S. WhiteSandeep DalalRobert D. PugatchSteven W. RustLilla BoroczkyRafael WiemkerRaman DanradAvinash Kambadakone
- Topics
- Lung Cancer Diagnosis and Treatment (15 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Medical Imaging Techniques and Applications (5 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Ekta Dharaiya
21 papers receiving 315 citations
Peers
Comparison fields: 5 of 36
- Radiology, Nuclear Medicine and Imaging 243
- Pulmonary and Respiratory Medicine 222
- Biomedical Engineering 88
- Surgery 17
- Artificial Intelligence 15
Countries citing papers authored by Ekta Dharaiya
This map shows the geographic impact of Ekta Dharaiya'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 Ekta Dharaiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekta Dharaiya more than expected).
Fields of papers citing papers by Ekta Dharaiya
This network shows the impact of papers produced by Ekta Dharaiya. 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 Ekta Dharaiya. The network helps show where Ekta Dharaiya may publish in the future.
Co-authorship network of co-authors of Ekta Dharaiya
This figure shows the co-authorship network connecting the top 25 collaborators of Ekta Dharaiya. A scholar is included among the top collaborators of Ekta Dharaiya 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 Ekta Dharaiya. Ekta Dharaiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 29 | |
| 5 | 19 | |
| 6 | 28 | |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 57 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | Performance of lung nodule computer aided detection software: effect of slice thickness on chest CT | 0 |
| 20 | 6 |
About Ekta Dharaiya
Ekta Dharaiya is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Statistics, Probability and Uncertainty, having authored 22 papers that have together received 321 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (243 citations), Pulmonary and Respiratory Medicine (222 citations) and Microbiology (2 citations). Ekta Dharaiya has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Charles S. White, Sandeep Dalal, Robert D. Pugatch, Steven W. Rust, Lilla Boroczky, Rafael Wiemker, Raman Danrad, Avinash Kambadakone, David L. Smith and Rong Chen. Their work appears in journals such as Radiology, Radiographics and Journal of Computer Assisted 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.