Amit Mehndiratta
- Automotive Engineering top 2%
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- Radiomics and Machine Learning in Medical Imaging 22
- MRI in cancer diagnosis 20
- Advanced MRI Techniques and Applications 16
- Medical Imaging Techniques and Applications 10
- Advanced Neuroimaging Techniques and Applications 7
- Biomedical Engineering top 5%
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery 12
- General Dentistry top 5%
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- Sarcoma Diagnosis and Treatment 8
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- Transcranial Magnetic Stimulation Studies 7
- Co-authors
- Frederik L. GieselHans‐Ulrich KauczorHendrik von Tengg‐KobligkChristian M. ZechmannRoland UnterhinninghofenFabian RengierDevasenathipathy KandasamyRaju Sharma
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (1 paper)NeuroImage (1 paper)
- Partner nations
- IndiaUnited KingdomGermany
In The Last Decade
Amit Mehndiratta
68 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Automotive Engineering 387
- Radiology, Nuclear Medicine and Imaging 501
- Biomedical Engineering 928
- Rehabilitation 119
- General Dentistry 30
Countries citing papers authored by Amit Mehndiratta
This map shows the geographic impact of Amit Mehndiratta'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 Mehndiratta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Mehndiratta more than expected).
Fields of papers citing papers by Amit Mehndiratta
This network shows the impact of papers produced by Amit Mehndiratta. 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 Mehndiratta. The network helps show where Amit Mehndiratta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amit Mehndiratta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 69 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 50 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 4 | |
| 18 | 2011 | 6 | |
| 19 | 3D printing based on imaging data: review of medical applicationsbreakdown → | 2010 | 1144 |
| 20 | 2010 | 44 |
About Amit Mehndiratta
Amit Mehndiratta is a scholar working on Rehabilitation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 73 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (22 papers), MRI in cancer diagnosis (20 papers), Advanced MRI Techniques and Applications (16 papers), Stroke Rehabilitation and Recovery (12 papers), Medical Imaging Techniques and Applications (10 papers), Sarcoma Diagnosis and Treatment (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Automotive Engineering (387 citations), Radiology, Nuclear Medicine and Imaging (501 citations) and Biomedical Engineering (928 citations). Amit Mehndiratta has collaborated with scholars based in India, United Kingdom and Germany. Frequent co-authors include Frederik L. Giesel, Hans‐Ulrich Kauczor, Hendrik von Tengg‐Kobligk, Christian M. Zechmann, Roland Unterhinninghofen, Fabian Rengier, Devasenathipathy Kandasamy, Raju Sharma, Sameer Bakhshi and Nand Kumar. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and NeuroImage.
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.