Baishali Chaudhury
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 10%
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Neurology top 10%
- Co-authors
- Lawrence HallRobert A. GatenbyRobert J. GilliesDmitry B. GoldgofMu ZhouOlivier GevaertJacob G. ScottJayashree Kalpathy–Cramer
- Topics
- Radiomics and Machine Learning in Medical Imaging (12 papers)AI in cancer detection (7 papers)MRI in cancer diagnosis (3 papers)
- Journals
- Journal of Clinical OncologyInternational Journal of Radiation Oncology*Biology*PhysicsAmerican Journal of Neuroradiology
- Partner nations
- United StatesIndia
In The Last Decade
Baishali Chaudhury
21 papers receiving 467 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 336
- Genetics 135
- Artificial Intelligence 91
- Pulmonary and Respiratory Medicine 88
- Neurology 64
Countries citing papers authored by Baishali Chaudhury
This map shows the geographic impact of Baishali Chaudhury'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 Baishali Chaudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baishali Chaudhury more than expected).
Fields of papers citing papers by Baishali Chaudhury
This network shows the impact of papers produced by Baishali Chaudhury. 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 Baishali Chaudhury. The network helps show where Baishali Chaudhury may publish in the future.
Co-authorship network of co-authors of Baishali Chaudhury
This figure shows the co-authorship network connecting the top 25 collaborators of Baishali Chaudhury. A scholar is included among the top collaborators of Baishali Chaudhury 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 Baishali Chaudhury. Baishali Chaudhury 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 | 1 | |
| 3 | 272 | |
| 4 | 66 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 42 | |
| 9 | 5 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 13 | |
| 14 | 0 | |
| 15 | Pneumonia as the cause of death in deer | 3 |
| 16 | Prevalence of parasitic infection in captive wild herbivores in a zoo in Assam, India | 12 |
| 17 | Yield loss estimation by (Sclerotinia sclerotiorum) (LIB.) de Bary. | 4 |
| 18 | Pathology of Fasciola jacksoni infestation in elephants | 2 |
| 19 | 3 | |
| 20 | 14 |
About Baishali Chaudhury
Baishali Chaudhury is a scholar working on Radiology, Nuclear Medicine and Imaging, Small Animals and Animal Science and Zoology, having authored 22 papers that have together received 480 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (7 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (336 citations), Genetics (135 citations) and Health Informatics (14 citations). Baishali Chaudhury has collaborated with scholars based in United States and India. Frequent co-authors include Lawrence Hall, Robert A. Gatenby, Robert J. Gillies, Dmitry B. Goldgof, Mu Zhou, Olivier Gevaert, Jacob G. Scott, Jayashree Kalpathy–Cramer, Sandy Napel and Kristen W. Yeom. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Neuroradiology.
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.