Amit Ashok

1.5k total citations · 1 hit paper
72 papers, 948 citations indexed

About

Amit Ashok is a scholar working on Biomedical Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Ashok has authored 72 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 23 papers in Computational Mechanics and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Ashok's work include Sparse and Compressive Sensing Techniques (23 papers), Advanced X-ray and CT Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). Amit Ashok is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Advanced X-ray and CT Imaging (12 papers) and Medical Imaging Techniques and Applications (10 papers). Amit Ashok collaborates with scholars based in United States, China and Netherlands. Amit Ashok's co-authors include Ronan Kerviche, Mark A. Neifeld, Suhas Lohit, Kuldeep Kulkarni, Pavan Turaga, Saikat Guha, Nathan A. Goodman, Zachary Dutton, Yujie Gu and Jun Ke and has published in prestigious journals such as IEEE Transactions on Signal Processing, Optics Express and Medical Physics.

In The Last Decade

Amit Ashok

65 papers receiving 919 citations

Hit Papers

ReconNet: Non-Iterative Reconstruction of Images from Com... 2016 2026 2019 2022 2016 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
    2016 464 citations Kuldeep Kulkarni, Suhas Lohit et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Ashok United States 13 526 397 395 155 128 72 948
Kuldeep Kulkarni United States 7 469 0.9× 279 0.7× 314 0.8× 116 0.7× 88 0.7× 12 657
Suhas Lohit United States 8 431 0.8× 280 0.7× 339 0.9× 104 0.7× 100 0.8× 21 681
Guillermo Sapiro United States 5 398 0.8× 206 0.5× 240 0.6× 93 0.6× 154 1.2× 8 603
Greg Ongie United States 11 348 0.7× 170 0.4× 275 0.7× 41 0.3× 43 0.3× 25 714
Sujit Kumar Sahoo Singapore 11 204 0.4× 145 0.4× 155 0.4× 124 0.8× 96 0.8× 39 575
Amir Averbuch Israel 13 148 0.3× 85 0.2× 189 0.5× 139 0.9× 24 0.2× 48 616
Toshiya Hachisuka Canada 23 385 0.7× 49 0.1× 1.0k 2.6× 44 0.3× 24 0.2× 58 1.5k
Yanting Ma United States 10 134 0.3× 126 0.3× 103 0.3× 43 0.3× 34 0.3× 28 401

Countries citing papers authored by Amit Ashok

Since Specialization
Citations

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

Fields of papers citing papers by Amit Ashok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Ashok

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Ashok. A scholar is included among the top collaborators of Amit Ashok 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 Amit Ashok. Amit Ashok 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.
Ashok, Amit, et al.. (2025). Experimental demonstration of a quantum-optimal coronagraph using spatial mode sorters. Optica. 12(4). 518–518. 1 indexed citations
2.
3.
Ashok, Amit, et al.. (2023). Hybrid event and frame-based system for target detection, tracking, and identification. UA Campus Repository (The University of Arizona). 10990. 38–38. 1 indexed citations
4.
Ashok, Amit, et al.. (2022). Robust Adaptive Quantum-Limited Super-Resolution Imaging. Warwick Research Archive Portal (University of Warwick). 2 indexed citations
5.
Greenberg, Joel A., Joshua H. Carpenter, Christopher W. Gregory, et al.. (2021). Design and analysis of a hybrid X-ray transmission and diffraction system. UA Campus Repository (The University of Arizona). 6–6. 2 indexed citations
6.
Liu, Feng, et al.. (2020). Visibility of quantization errors in reversible JPEG2000. Signal Processing Image Communication. 84. 115812–115812. 4 indexed citations
7.
Greenberg, Joel A., et al.. (2020). Task-specific information in x-ray diffraction and transmission modalities: a comparative analysis. UA Campus Repository (The University of Arizona). 20–20. 2 indexed citations
8.
Lin, Yuzhang, Feng Liu, Miguel Hernández-Cabronero, et al.. (2019). Perception-Optimized Encoding for Visually Lossy Image Compression. 592–592. 1 indexed citations
9.
Liu, Feng, Yuzhang Lin, Miguel Hernández-Cabronero, et al.. (2018). A Visual Discrimination Model for JPEG2000 Compression. 424–424. 1 indexed citations
10.
Lin, Yuzhang, et al.. (2016). Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9847. 98470F–98470F. 3 indexed citations
11.
Kulkarni, Kuldeep, Suhas Lohit, Pavan Turaga, Ronan Kerviche, & Amit Ashok. (2016). ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements. 449–458. 464 indexed citations breakdown →
12.
Ashok, Amit, James Huang, Yuzhang Lin, & Ronan Kerviche. (2014). Information optimal compressive imaging: design and implementation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9186. 91860K–91860K. 1 indexed citations
13.
Ashok, Amit, et al.. (2013). Information optimal compressive sensing: static measurement design. Journal of the Optical Society of America A. 30(5). 831–831. 12 indexed citations
14.
Ashok, Amit, et al.. (2012). Space–time compressive imaging. Applied Optics. 51(4). A67–A67. 4 indexed citations
15.
Ashok, Amit & Mark A. Neifeld. (2011). Compressive imaging: hybrid measurement basis design. Journal of the Optical Society of America A. 28(6). 1041–1041. 15 indexed citations
16.
Ashok, Amit, et al.. (2010). Increased field of view through optical multiplexing. Optics Express. 18(21). 22432–22432. 8 indexed citations
17.
Ashok, Amit. (2010). Compressive light-field imaging. SPIE Newsroom. 18 indexed citations
18.
Ashok, Amit, et al.. (2010). Increased field of view through optical multiplexing. IMC4–IMC4. 1 indexed citations
19.
Ke, Jun, Amit Ashok, & Mark A. Neifeld. (2010). Block-wise motion detection using compressive imaging system. Optics Communications. 284(5). 1170–1180. 14 indexed citations
20.
Neifeld, Mark A., et al.. (2007). Task-specific information for imaging system analysis. Journal of the Optical Society of America A. 24(12). B25–B25. 43 indexed citations

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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