Apaar Sadhwani

6 papers and 234 indexed citations i.

About

Apaar Sadhwani is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Apaar Sadhwani has authored 6 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Apaar Sadhwani’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). Apaar Sadhwani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Financial Literacy, Pension, Retirement Analysis (2 papers). Apaar Sadhwani collaborates with scholars based in United States, United Kingdom and Austria. Apaar Sadhwani's co-authors include Justin Sirignano, Kay Giesecke, David F. Steiner, Po-Hsuan Cameron Chen, Ellery Wulczyn, Craig H. Mermel, Martin C. Stumpe, Zhaoyang Xu, Hongwu Wang and Yun Liu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Apaar Sadhwani i

Fields of papers citing papers by Apaar Sadhwani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Apaar Sadhwani

Since Specialization
Citations

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).

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.

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