Taman Upadhaya
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Health Informatics top 10%
- Co-authors
- Mathieu HattYannick MorvanPierre‐Jean Le ResteÉric StindelDimitris VisvikisJan SeuntjensAvishek ChatterjeeMartin Vallières
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)AI in cancer detection (7 papers)Glioma Diagnosis and Treatment (3 papers)
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Taman Upadhaya
10 papers receiving 141 citations
Peers
Comparison fields: 5 of 39
- Radiology, Nuclear Medicine and Imaging 103
- Artificial Intelligence 58
- Pulmonary and Respiratory Medicine 26
- Biomedical Engineering 24
- Health Informatics 21
Countries citing papers authored by Taman Upadhaya
This map shows the geographic impact of Taman Upadhaya'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 Taman Upadhaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taman Upadhaya more than expected).
Fields of papers citing papers by Taman Upadhaya
This network shows the impact of papers produced by Taman Upadhaya. 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 Taman Upadhaya. The network helps show where Taman Upadhaya may publish in the future.
Co-authorship network of co-authors of Taman Upadhaya
This figure shows the co-authorship network connecting the top 25 collaborators of Taman Upadhaya. A scholar is included among the top collaborators of Taman Upadhaya 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 Taman Upadhaya. Taman Upadhaya 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 58 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | Radiomics based Deep Fully Connected Neural Network (R-DNN) for Prognostication of Lung Cancer | 1 |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 20 |
About Taman Upadhaya
Taman Upadhaya is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Artificial Intelligence, having authored 12 papers that have together received 142 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (7 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (103 citations) and Health Information Management (11 citations). Taman Upadhaya has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Mathieu Hatt, Yannick Morvan, Pierre‐Jean Le Reste, Éric Stindel, Dimitris Visvikis, Jan Seuntjens, Avishek Chatterjee, Martin Vallières, Catherine Cheze Le Rest and Olena Tankyevych. Their work appears in journals such as Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Nature Cancer.
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.