Amit Mehndiratta
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Automotive Engineering top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Frederik L. GieselHans‐Ulrich KauczorHendrik von Tengg‐KobligkChristian M. ZechmannRoland UnterhinninghofenFabian RengierDevasenathipathy KandasamyRaju Sharma
- Topics
- Radiomics and Machine Learning in Medical Imaging (22 papers)MRI in cancer diagnosis (20 papers)Advanced MRI Techniques and Applications (16 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- IndiaUnited KingdomGermany
In The Last Decade
Amit Mehndiratta
68 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Biomedical Engineering 928
- Radiology, Nuclear Medicine and Imaging 501
- Surgery 428
- Automotive Engineering 387
- Pulmonary and Respiratory Medicine 213
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 of co-authors of Amit Mehndiratta
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Mehndiratta. A scholar is included among the top collaborators of Amit Mehndiratta 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 Mehndiratta. Amit Mehndiratta 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 69 | |
| 14 | 4 | |
| 15 | 50 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 3D printing based on imaging data: review of medical applicationsbreakdown → | 1144 |
| 20 | 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) and Advanced MRI Techniques and Applications (16 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.