Dipesh Niraula
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Explainable Artificial Intelligence (XAI) 4
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Victor G. Karpov (9 shared papers)Issam El Naqa (11 shared papers)Yi Luo (5 shared papers)Randall K. Ten Haken (5 shared papers)Lise Wei (3 shared papers)Sunan Cui (3 shared papers)Martha M. Matuszak (4 shared papers)Jie Ying Fu (1 shared paper)
- Journals
- British Journal of Radiology (3 papers)Scientific Reports (3 papers)Journal of Applied Physics (2 papers)IEEE Electron Device Letters (2 papers)Applied Physics Letters (2 papers)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Dipesh Niraula
22 papers receiving 410 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 47
- Radiology, Nuclear Medicine and Imaging 85
- Radiation 24
- Cellular and Molecular Neuroscience 44
- Electrical and Electronic Engineering 139
Countries citing papers authored by Dipesh Niraula
This map shows the geographic impact of Dipesh Niraula'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 Dipesh Niraula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dipesh Niraula more than expected).
Fields of papers citing papers by Dipesh Niraula
This network shows the impact of papers produced by Dipesh Niraula. 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 Dipesh Niraula. The network helps show where Dipesh Niraula may publish in the future.
Co-authors
The 25 scholars most cited alongside Dipesh Niraula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 95 | |
| 2 | 2021 | 45 | |
| 3 | 2018 | 34 | |
| 4 | 2023 | 33 | |
| 5 | 2017 | 25 | |
| 6 | 2025 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2015 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2022 | 3 |
About Dipesh Niraula
Dipesh Niraula is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Radiation and Health Informatics, having authored 22 papers that have together received 418 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Explainable Artificial Intelligence (XAI) (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Semiconductor materials and devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Phase-change materials and chalcogenides (3 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Health Informatics (47 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Radiation (24 citations), Cellular and Molecular Neuroscience (44 citations) and Electrical and Electronic Engineering (139 citations). Dipesh Niraula has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Victor G. Karpov, Issam El Naqa, Yi Luo, Randall K. Ten Haken, Lise Wei, Sunan Cui, Martha M. Matuszak, Jie Ying Fu, Stephen R. Bowen and Ilya V. Karpov. Their work appears in journals such as British Journal of Radiology, Scientific Reports, Journal of Applied Physics, IEEE Electron Device Letters and Applied Physics Letters.
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.