Lasith Adhikari

505 total citations
22 papers, 297 citations indexed

About

Lasith Adhikari is a scholar working on Biomedical Engineering, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Lasith Adhikari has authored 22 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Molecular Biology and 7 papers in Computational Mechanics. Recurrent topics in Lasith Adhikari's work include Photoacoustic and Ultrasonic Imaging (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Genomic variations and chromosomal abnormalities (6 papers). Lasith Adhikari is often cited by papers focused on Photoacoustic and Ultrasonic Imaging (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Genomic variations and chromosomal abnormalities (6 papers). Lasith Adhikari collaborates with scholars based in United States, China and Netherlands. Lasith Adhikari's co-authors include Roummel F. Marcia, R. W. M. A. Madushani, Eduardo Mireles‐Cabodevila, An-Kwok Ian Wong, Suzanne Sindi, Marie‐Laure Charpignon, Han Kim, Leo Anthony Celi, Mary E. Lough and Azade Tabaie and has published in prestigious journals such as PLoS ONE, IEEE Access and JAMA Network Open.

In The Last Decade

Lasith Adhikari

20 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lasith Adhikari United States 8 77 60 60 52 46 22 297
Christopher E. Gillies United States 11 51 0.7× 50 0.8× 14 0.2× 64 1.2× 84 1.8× 28 336
Kuo-Ching Yuan Taiwan 12 27 0.4× 69 1.1× 160 2.7× 65 1.3× 33 0.7× 34 441
Swapna Abhyankar United States 9 23 0.3× 39 0.7× 34 0.6× 43 0.8× 104 2.3× 18 315
Jae Seok Kim South Korea 14 17 0.2× 59 1.0× 69 1.1× 105 2.0× 51 1.1× 43 545
Nianzong Hou China 5 15 0.2× 47 0.8× 62 1.0× 143 2.8× 30 0.7× 9 369
Muhammed Kermali United Kingdom 6 27 0.4× 55 0.9× 62 1.0× 59 1.1× 55 1.2× 9 507
Ahmed Bennis Morocco 11 16 0.2× 93 1.6× 81 1.4× 89 1.7× 39 0.8× 41 453
Konstantinos A. Papathanasiou Greece 13 66 0.9× 33 0.6× 93 1.6× 96 1.8× 35 0.8× 72 586
Weng Kin Wong Singapore 10 29 0.4× 48 0.8× 66 1.1× 52 1.0× 11 0.2× 34 310

Countries citing papers authored by Lasith Adhikari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lasith Adhikari

This figure shows the co-authorship network connecting the top 25 collaborators of Lasith Adhikari. A scholar is included among the top collaborators of Lasith Adhikari 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 Lasith Adhikari. Lasith Adhikari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Struja, Tristan, Christopher Martin Sauer, Martine Otten, et al.. (2025). Sharing is caring: A systematic review of publicly available intensive care data sets. Journal of Critical Care. 90. 155205–155205.
2.
Madushani, R. W. M. A., Vishal Patel, Tyler J. Loftus, et al.. (2022). Early Biomarker Signatures in Surgical Sepsis. Journal of Surgical Research. 277. 372–383. 9 indexed citations
3.
Wong, An-Kwok Ian, Han Kim, Marie‐Laure Charpignon, et al.. (2022). A Method to Explore Variations of Ventilator-Associated Event Surveillance Definitions in Large Critical Care Databases in the United States. Critical Care Explorations. 4(11). e0790–e0790. 4 indexed citations
4.
Wong, An-Kwok Ian, Marie‐Laure Charpignon, Han Kim, et al.. (2021). Analysis of Discrepancies Between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association With Organ Dysfunction and Mortality. JAMA Network Open. 4(11). e2131674–e2131674. 131 indexed citations
5.
Bandyopadhyay, Sabyasachi, Lasith Adhikari, Rajesh Mohandas, et al.. (2020). Discovery and Validation of Urinary Molecular Signature of Early Sepsis. Critical Care Explorations. 2(10). e0195–e0195. 9 indexed citations
6.
Adhikari, Lasith, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, et al.. (2019). Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics. PLoS ONE. 14(4). e0214904–e0214904. 58 indexed citations
7.
Adhikari, Lasith, et al.. (2017). Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. 39. 1–5. 1 indexed citations
8.
Adhikari, Lasith, et al.. (2017). Biomedical signal recovery: Genomic variant detection in family lineages. 491. 1–4. 4 indexed citations
9.
Wen, Fei, Lasith Adhikari, Ling Pei, et al.. (2017). Nonconvex Regularization-Based Sparse Recovery and Demixing With Application to Color Image Inpainting. IEEE Access. 5. 11513–11527. 25 indexed citations
10.
Adhikari, Lasith. (2017). Nonconvex Sparse Recovery Methods. eScholarship (California Digital Library). 1 indexed citations
11.
Adhikari, Lasith, et al.. (2017). Limited-memory trust-region methods for sparse relaxation. 11. 16–16. 4 indexed citations
12.
Adhikari, Lasith, et al.. (2017). Nonconvex regularization for sparse genomic variant signal detection. 281–286. 6 indexed citations
13.
Plemmons, Robert J., et al.. (2016). Trust-region methods for nonconvex sparse recovery optimization. International Symposium on Information Theory and its Applications. 275–279. 1 indexed citations
14.
Adhikari, Lasith, et al.. (2016). Constrained variant detection with SPaRC: Sparsity, parental relatedness, and coverage. PubMed. 2016. 3490–3493. 9 indexed citations
15.
Adhikari, Lasith, et al.. (2016). Sparse signal recovery methods for variant detection in next-generation sequencing data. 467. 864–868. 12 indexed citations
16.
17.
Adhikari, Lasith, et al.. (2016). Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery. 467. 1–5. 10 indexed citations
18.
Adhikari, Lasith, Arnold D. Kim, & Roummel F. Marcia. (2016). Sparse reconstruction for fluorescence lifetime imaging microscopy with poisson noise. 39. 262–266. 1 indexed citations
19.
Adhikari, Lasith & Roummel F. Marcia. (2016). Bounded sparse photon-limited image recovery. 95. 3508–3512. 1 indexed citations
20.

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.

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