Amit Gupta
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 5%
- Oncology top 5%
- Surgery top 10%
- Co-authors
- Anant MadabhushiKaustav BeraVamsidhar VelchetiNathaniel BramanPrateek PrasannaKai Roman LaukampNikhil H. RamaiyaRobert Gilkeson
- Topics
- Advanced X-ray and CT Imaging (39 papers)Radiomics and Machine Learning in Medical Imaging (32 papers)Radiation Dose and Imaging (32 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Amit Gupta
178 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Radiology, Nuclear Medicine and Imaging 1.5k
- Pulmonary and Respiratory Medicine 836
- Biomedical Engineering 742
- Oncology 628
- Surgery 413
Countries citing papers authored by Amit Gupta
This map shows the geographic impact of Amit Gupta'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 Amit Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Gupta more than expected).
Fields of papers citing papers by Amit Gupta
This network shows the impact of papers produced by Amit Gupta. 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 Amit Gupta. The network helps show where Amit Gupta may publish in the future.
Co-authorship network of co-authors of Amit Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Gupta. A scholar is included among the top collaborators of Amit Gupta 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 Amit Gupta. Amit Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 24 | |
| 12 | Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network | 2 |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 9 | |
| 16 | 200 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 16 | |
| 20 | Radiological quiz - small parts | 0 |
About Amit Gupta
Amit Gupta is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Sensory Systems, having authored 200 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (39 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Radiation Dose and Imaging (32 papers). The work is most often cited by research in Health Informatics (107 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Pulmonary and Respiratory Medicine (836 citations). Amit Gupta has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, Nathaniel Braman, Prateek Prasanna, Kai Roman Laukamp, Nikhil H. Ramaiya, Robert Gilkeson, Pradnya D. Patil and Mohammadhadi Khorrami. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.