Lasith Adhikari
Impact in
- Health Informatics top 10%
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- Acute Kidney Injury Research
Papers in
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- Photoacoustic and Ultrasonic Imaging 9
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Roummel F. Marcia (14 shared papers)R. W. M. A. Madushani (4 shared papers)Anne de Hond (1 shared paper)Azade Tabaie (1 shared paper)Rishikesan Kamaleswaran (1 shared paper)Xiaoli Liu (1 shared paper)An-Kwok Ian Wong (2 shared papers)Marie‐Laure Charpignon (2 shared papers)
- Journals
- Journal of Critical Care (1 paper)IEEE Access (1 paper)PLoS ONE (1 paper)Critical Care (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Lasith Adhikari
20 papers receiving 305 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 17
- Nephrology 33
- Critical Care and Intensive Care Medicine 12
- Family Practice 4
- Biomedical Engineering 75
Countries citing papers authored by Lasith Adhikari
This map shows the geographic impact of Lasith Adhikari'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 Lasith Adhikari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lasith Adhikari more than expected).
Fields of papers citing papers by Lasith Adhikari
This network shows the impact of papers produced by Lasith Adhikari. 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 Lasith Adhikari. The network helps show where Lasith Adhikari may publish in the future.
Co-authors
The 25 scholars most cited alongside Lasith Adhikari, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2019 | 62 | |
| 3 | 2017 | 25 | |
| 4 | 2016 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2016 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2015 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 2 | |
| 16 | Trust-region methods for nonconvex sparse recovery optimization | 2016 | 1 |
| 17 | 2016 | 1 | |
| 18 | 2017 | 1 | |
| 19 | Nonconvex Sparse Recovery Methods | 2017 | 1 |
| 20 | 2016 | 1 |
About Lasith Adhikari
Lasith Adhikari is a scholar working on Biomedical Engineering, Computational Mechanics, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 309 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (9 papers), Sparse and Compressive Sensing Techniques (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Phylogenetic Studies (5 papers), Sepsis Diagnosis and Treatment (5 papers), Genomics and Rare Diseases (4 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Health Informatics (17 citations), Nephrology (33 citations), Critical Care and Intensive Care Medicine (12 citations), Family Practice (4 citations) and Biomedical Engineering (75 citations). Lasith Adhikari has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Roummel F. Marcia, R. W. M. A. Madushani, Anne de Hond, Azade Tabaie, Rishikesan Kamaleswaran, Xiaoli Liu, An-Kwok Ian Wong, Marie‐Laure Charpignon, Christopher S. Josef and Leo Anthony Celi. Their work appears in journals such as Journal of Critical Care, IEEE Access, PLoS ONE, Critical Care and JAMA Network Open.
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.