Sam Kavusi
Impact in
- Media Technology top 5%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
-
- CCD and CMOS Imaging Sensors 10
-
- Infrared Target Detection Methodologies 7
- Co-authors
- Abbas El Gamal (6 shared papers)Helmy Eltoukhy (1 shared paper)Hossein Kakavand (2 shared papers)Joyce Farrell (1 shared paper)Xiao Feng (1 shared paper)Christopher A. Johnson (2 shared papers)Reza Rasti (1 shared paper)Scott W. Cousins (1 shared paper)
- Journals
- Biomedical Optics Express (1 paper)Sensors (1 paper)Lab on a Chip (1 paper)JMIR Formative Research (1 paper)Electronic Imaging (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Sam Kavusi
14 papers receiving 368 citations
Peers
Comparison fields: 5 of 63
- Media Technology 125
- Ophthalmology 44
- Bioengineering 28
- Computer Vision and Pattern Recognition 75
- Biomedical Engineering 139
Countries citing papers authored by Sam Kavusi
This map shows the geographic impact of Sam Kavusi'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 Sam Kavusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Kavusi more than expected).
Fields of papers citing papers by Sam Kavusi
This network shows the impact of papers produced by Sam Kavusi. 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 Sam Kavusi. The network helps show where Sam Kavusi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sam Kavusi, 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 | 2003 | 74 | |
| 2 | 2020 | 63 | |
| 3 | 2004 | 50 | |
| 4 | 2006 | 41 | |
| 5 | 2006 | 40 | |
| 6 | 2012 | 32 | |
| 7 | 2016 | 28 | |
| 8 | 2004 | 21 | |
| 9 | 2006 | 13 | |
| 10 | 2004 | 12 | |
| 11 | 2007 | 11 | |
| 12 | 2006 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 0 | |
| 16 | 2011 | 0 |
About Sam Kavusi
Sam Kavusi is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Bioengineering and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 396 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (10 papers), Infrared Target Detection Methodologies (7 papers), Analog and Mixed-Signal Circuit Design (3 papers), Analytical Chemistry and Sensors (3 papers), Image Processing Techniques and Applications (2 papers), Robotics and Automated Systems (1 paper), Optical Coherence Tomography Applications (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Media Technology (125 citations), Ophthalmology (44 citations), Bioengineering (28 citations), Computer Vision and Pattern Recognition (75 citations) and Biomedical Engineering (139 citations). Sam Kavusi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Abbas El Gamal, Helmy Eltoukhy, Hossein Kakavand, Joyce Farrell, Xiao Feng, Christopher A. Johnson, Reza Rasti, Scott W. Cousins, Sina Farsiu and Michael J. Allingham. Their work appears in journals such as Biomedical Optics Express, Sensors, Lab on a Chip, JMIR Formative Research and Electronic Imaging.
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.