Sumeet Hindocha
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Health Informatics top 2%
- Biomedical Engineering
- Co-authors
- Richard W. LeeBenjamin HunterBhupinder SharmaThomas P. MillardRichard LeeEric O. AboagyeMerina AhmedMatthew Blackledge
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Lung Cancer Diagnosis and Treatment (4 papers)Medical Imaging Techniques and Applications (3 papers)
- Partner nations
- United KingdomSpain
In The Last Decade
Sumeet Hindocha
14 papers receiving 342 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 178
- Artificial Intelligence 103
- Pulmonary and Respiratory Medicine 86
- Health Informatics 82
- Biomedical Engineering 45
Countries citing papers authored by Sumeet Hindocha
This map shows the geographic impact of Sumeet Hindocha'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 Sumeet Hindocha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumeet Hindocha more than expected).
Fields of papers citing papers by Sumeet Hindocha
This network shows the impact of papers produced by Sumeet Hindocha. 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 Sumeet Hindocha. The network helps show where Sumeet Hindocha may publish in the future.
Co-authorship network of co-authors of Sumeet Hindocha
This figure shows the co-authorship network connecting the top 25 collaborators of Sumeet Hindocha. A scholar is included among the top collaborators of Sumeet Hindocha 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 Sumeet Hindocha. Sumeet Hindocha 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 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 35 | |
| 7 | 14 | |
| 8 | 27 | |
| 9 | 9 | |
| 10 | 36 | |
| 11 | The Role of Artificial Intelligence in Early Cancer Diagnosisbreakdown → | 178 |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 12 |
About Sumeet Hindocha
Sumeet Hindocha is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 17 papers that have together received 347 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (82 citations), Radiology, Nuclear Medicine and Imaging (178 citations) and Health Information Management (21 citations). Sumeet Hindocha has collaborated with scholars based in United Kingdom and Spain. Frequent co-authors include Richard W. Lee, Benjamin Hunter, Bhupinder Sharma, Thomas P. Millard, Richard Lee, Eric O. Aboagye, Merina Ahmed, Matthew Blackledge, R. Jena and Shahreen Ahmad. Their work appears in journals such as Scientific Reports, Radiotherapy and Oncology and Cancers.
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.