Ukash Nakarmi

21 papers and 187 indexed citations i.

About

Ukash Nakarmi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ukash Nakarmi has authored 21 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computational Mechanics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ukash Nakarmi’s work include Advanced MRI Techniques and Applications (14 papers), Medical Imaging Techniques and Applications (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Ukash Nakarmi is often cited by papers focused on Advanced MRI Techniques and Applications (14 papers), Medical Imaging Techniques and Applications (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). Ukash Nakarmi collaborates with scholars based in United States, China and Kazakhstan. Ukash Nakarmi's co-authors include Leslie Ying, Yanhua Wang, Dong Liang, Konstantinos Slavakis, John M. Pauly, Joseph Y. Cheng, Jinhua Sheng, Shreyas Vasanawala, Christopher M. Sandino and Jeffrey Ma and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ukash Nakarmi i

Fields of papers citing papers by Ukash Nakarmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ukash Nakarmi. 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 Ukash Nakarmi. The network helps show where Ukash Nakarmi may publish in the future.

Countries citing papers authored by Ukash Nakarmi

Since Specialization
Citations

This map shows the geographic impact of Ukash Nakarmi'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 Ukash Nakarmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ukash Nakarmi more than expected).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025