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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- Advanced Memory and Neural Computing 7
- Semiconductor materials and devices 4
- Ferroelectric and Negative Capacitance Devices 4
- Advancements in Semiconductor Devices and Circuit Design 3
- Electronic Packaging and Soldering Technologies 3
- Co-authors
- В. Г. Карпов (9 shared papers)Issam El Naqa (7 shared papers)Randall K. Ten Haken (5 shared papers)Yi Luo (5 shared papers)I. V. Karpov (2 shared papers)Lise Wei (3 shared papers)M.M. Matuszak (4 shared papers)Sunan Cui (3 shared papers)
- Journals
- Scientific Reports (3 papers)British Journal of Radiology (3 papers)IEEE Electron Device Letters (2 papers)Journal of Applied Physics (2 papers)Applied Physics Letters (2 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Dipesh Niraula
18 papers receiving 304 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 67
- Health Information Management 11
- Cellular and Molecular Neuroscience 43
- Electrical and Electronic Engineering 132
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 63 | |
| 2 | 2021 | 34 | |
| 3 | 2018 | 33 | |
| 4 | 2023 | 27 | |
| 5 | 2017 | 24 | |
| 6 | 2017 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2016 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2016 | 14 | |
| 12 | 2015 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 7 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 1 |
About Dipesh Niraula
Dipesh Niraula is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Radiation and Materials Chemistry, having authored 18 papers that have together received 309 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (4 papers), Semiconductor materials and devices (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Electronic Packaging and Soldering Technologies (3 papers) and Phase-change materials and chalcogenides (3 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Health Information Management (11 citations), Cellular and Molecular Neuroscience (43 citations) and Electrical and Electronic Engineering (132 citations). Dipesh Niraula has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include В. Г. Карпов, Issam El Naqa, Randall K. Ten Haken, Yi Luo, I. V. Karpov, Lise Wei, M.M. Matuszak, Sunan Cui, Jie Fu and Matthew J. Nyflot. Their work appears in journals such as Scientific Reports, British Journal of Radiology, IEEE Electron Device Letters, Journal of Applied Physics 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.