Apaar Sadhwani
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Cancer Research
- Computer Vision and Pattern Recognition
- Co-authors
- Craig H. MermelDavid F. SteinerPo-Hsuan Cameron ChenEllery WulczynJustin SirignanoKay GieseckeYun LiuMartin C. Stumpe
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (4 papers)Colorectal Cancer Screening and Detection (2 papers)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Apaar Sadhwani
6 papers receiving 242 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 151
- Radiology, Nuclear Medicine and Imaging 139
- Oncology 39
- Cancer Research 34
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Apaar Sadhwani
This map shows the geographic impact of Apaar Sadhwani'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 Apaar Sadhwani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apaar Sadhwani more than expected).
Fields of papers citing papers by Apaar Sadhwani
This network shows the impact of papers produced by Apaar Sadhwani. 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 Apaar Sadhwani. The network helps show where Apaar Sadhwani may publish in the future.
Co-authorship network of co-authors of Apaar Sadhwani
This figure shows the co-authorship network connecting the top 25 collaborators of Apaar Sadhwani. A scholar is included among the top collaborators of Apaar Sadhwani 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 Apaar Sadhwani. Apaar Sadhwani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | Online Learning under Adversarial Corruptions | 1 |
| 3 | 159 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 50 |
About Apaar Sadhwani
Apaar Sadhwani is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Accounting, having authored 6 papers that have together received 248 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (139 citations) and Artificial Intelligence (151 citations). Apaar Sadhwani has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Craig H. Mermel, David F. Steiner, Po-Hsuan Cameron Chen, Ellery Wulczyn, Justin Sirignano, Kay Giesecke, Yun Liu, Martin C. Stumpe, Zhaoyang Xu and Hongwu Wang. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
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.