Amit Ashok

65 papers receiving 919 citations

Amit Ashok's Hit Papers

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements 2016 · 464 citations
4640+3+6Years since publication100200300400

Peers

Amit Ashok
Comparison fields: 5 of 62
  • Acoustics and Ultrasonics 78
  • Computational Mechanics 526
  • Computer Vision and Pattern Recognition 395
  • Instrumentation 50
  • Biophysics 75
Replace Kuldeep Kulkarni with:
Kuldeep Kulkarni United States
Suhas Lohit United States
Toshiya Hachisuka Canada
Sujit Kumar Sahoo Singapore
Guillermo Sapiro United States
Yanting Ma United States
Wenjun Zeng Hong Kong
Greg Ongie United States
Antoine Liutkus France
Amit Ashok relative to Kuldeep Kulkarni United States Kuldeep Kulkarni's profile →
Citations per field
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Kuldeep Kulkarni · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Amit Ashok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amit Ashok Line = papers co-authored together Amit Ashok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements
Hit paper breakdown →
2016464
2 201447
3 200743
4 201039
5 202038
6 200834
7 200733
8 201924
9 201018
10 201115
11 202215
12 201014
13 201312
14 200311
15 201411
16 201010
17 20108
18 20108
19 20176
20 20186

About Amit Ashok

Amit Ashok is a scholar working on Biomedical Engineering, Computational Mechanics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 948 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (23 papers), Advanced X-ray and CT Imaging (12 papers), Medical Imaging Techniques and Applications (10 papers), CCD and CMOS Imaging Sensors (10 papers), Advanced Optical Sensing Technologies (10 papers), Advanced Fluorescence Microscopy Techniques (9 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Acoustics and Ultrasonics (78 citations), Computational Mechanics (526 citations), Computer Vision and Pattern Recognition (395 citations), Instrumentation (50 citations) and Biophysics (75 citations). Amit Ashok has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Ronan Kerviche, Mark A. Neifeld, Pavan Turaga, Kuldeep Kulkarni, Suhas Lohit, Saikat Guha, Nathan A. Goodman, Zachary Dutton, Yujie Gu and Jun Ke. Their work appears in journals such as Journal of the Optical Society of America A, Optics Express, Applied Optics, Acta Astronautica and IEEE Journal of Selected Topics in Signal Processing.

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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