Keyvan Jaferzadeh

591 total citations
29 papers, 397 citations indexed

About

Keyvan Jaferzadeh is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keyvan Jaferzadeh has authored 29 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 12 papers in Biophysics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keyvan Jaferzadeh's work include Digital Holography and Microscopy (17 papers), Cell Image Analysis Techniques (10 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Keyvan Jaferzadeh is often cited by papers focused on Digital Holography and Microscopy (17 papers), Cell Image Analysis Techniques (10 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Keyvan Jaferzadeh collaborates with scholars based in South Korea, Canada and Sweden. Keyvan Jaferzadeh's co-authors include Inkyu Moon, Bahram Javidi, Benjamin Rappaz, Gerardo Turcatti, Benny Thörnberg, Johan Casselgren, Michel Prudent, Jean‐Daniel Tissot, Kourosh Kiani and Saeed Mozaffari and has published in prestigious journals such as Scientific Reports, Optics Express and Sensors.

In The Last Decade

Keyvan Jaferzadeh

29 papers receiving 375 citations

Peers

Keyvan Jaferzadeh

AMPO

CVPR

BIOPH

Alex Matlock United States

Thomas Chong United States

Yuri Murakami Japan

Roberto Savoia Italy

Timothy O’Connor United States

Alexander Doronin New Zealand

Thomas Bordy France

Joshua Brake United States

Pinhas Girshovitz Israel

Alistair Gorman United Kingdom

Alex Matlock United States

Keyvan Jaferzadeh

195 ×1.2

AMPO

74 ×0.6

CVPR

119 ×1.3

BIOPH

189 ×2.1

37 ×0.4

Citations per year, relative to Keyvan Jaferzadeh Keyvan Jaferzadeh (= 1×) peers Alex Matlock

Countries citing papers authored by Keyvan Jaferzadeh

Since Specialization

Citations

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

Fields of papers citing papers by Keyvan Jaferzadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keyvan Jaferzadeh

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

All Works

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20 of 20 papers shown

Mohammadzadeh, Mohammad Reza, Amirhossein Hasani, Keyvan Jaferzadeh, et al.. (2023). Unique Photoactivated Time‐Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds. Advanced Science. 10(10). e2205458–e2205458. 22 indexed citations

Mohammadzadeh, Mohammad Reza, Amirhossein Hasani, Keyvan Jaferzadeh, et al.. (2023). Unique Photoactivated Time‐Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds (Adv. Sci. 10/2023). Advanced Science. 10(10). 1 indexed citations

Jaferzadeh, Keyvan, et al.. (2022). Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging. Sensors. 22(5). 1817–1817. 5 indexed citations

Jaferzadeh, Keyvan & Thomas Fevens. (2022). HoloPhaseNet: fully automated deep-learning-based hologram reconstruction using a conditional generative adversarial model. Biomedical Optics Express. 13(7). 4032–4032. 8 indexed citations

Jaferzadeh, Keyvan, et al.. (2021). Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference. Sensors. 21(11). 3738–3738. 35 indexed citations

Jaferzadeh, Keyvan, et al.. (2021). Automated analysis of human cardiomyocytes dynamics with holographic image-based tracking for cardiotoxicity screening. Biosensors and Bioelectronics. 195. 113570–113570. 8 indexed citations

Jaferzadeh, Keyvan, et al.. (2020). Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network. Biomedical Optics Express. 11(3). 1501–1501. 5 indexed citations

Moon, Inkyu & Keyvan Jaferzadeh. (2020). Automated digital holographic image reconstruction with deep convolutional neural networks. 10–10. 2 indexed citations

Moon, Inkyu, Keyvan Jaferzadeh, You-Hyun Kim, & Bahram Javidi. (2020). Noise-free quantitative phase imaging in Gabor holography with conditional generative adversarial network. Optics Express. 28(18). 26284–26284. 26 indexed citations

10.

Moon, Inkyu, et al.. (2019). Automated quantification study of human cardiomyocyte synchronization using holographic imaging. Biomedical Optics Express. 10(2). 610–610. 5 indexed citations

11.

Jaferzadeh, Keyvan, et al.. (2019). No-search focus prediction at the single cell level in digital holographic imaging with deep convolutional neural network. Biomedical Optics Express. 10(8). 4276–4276. 25 indexed citations

12.

Jaferzadeh, Keyvan, et al.. (2019). Quantitative analysis of three-dimensional morphology and membrane dynamics of red blood cells during temperature elevation. Scientific Reports. 9(1). 14062–14062. 19 indexed citations

13.

Jaferzadeh, Keyvan, Inkyu Moon, Michel Prudent, et al.. (2018). Quantification of stored red blood cell fluctuations by time-lapse holographic cell imaging. Biomedical Optics Express. 9(10). 4714–4714. 23 indexed citations

14.

Moon, Inkyu, et al.. (2018). Automated quantitative analysis of multiple cardiomyocytes at the single‐cell level with three‐dimensional holographic imaging informatics. Journal of Biophotonics. 11(12). e201800116–e201800116. 10 indexed citations

15.

Jaferzadeh, Keyvan & Inkyu Moon. (2018). Overview of Optical Image Authentication Schemes; Double Random Phase Encoding and Photon Counting Imaging. 1–2. 1 indexed citations

16.

Jaferzadeh, Keyvan, et al.. (2016). Enhancing fractal image compression speed using local features for reducing search space. Pattern Analysis and Applications. 20(4). 1119–1128. 13 indexed citations

17.

Jaferzadeh, Keyvan & Inkyu Moon. (2016). Human red blood cell recognition enhancement with three-dimensional morphological features obtained by digital holographic imaging. Journal of Biomedical Optics. 21(12). 126015–126015. 18 indexed citations

18.

Jaferzadeh, Keyvan & Inkyu Moon. (2015). Quantitative investigation of red blood cell three-dimensional geometric and chemical changes in the storage lesion using digital holographic microscopy. Journal of Biomedical Optics. 20(11). 111218–111218. 32 indexed citations

19.

Jaferzadeh, Keyvan, Kourosh Kiani, & Saeed Mozaffari. (2012). Acceleration of fractal image compression using fuzzy clustering and discrete-cosine-transform-based metric. IET Image Processing. 6(7). 1024–1030. 25 indexed citations

20.

Kiani, Kourosh, et al.. (2010). A New Simple Fast DCT Coefficients-Based Metric Operation for Fractal Image Compression. 31. 51–55. 4 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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