Mansur Vafadust

606 total citations
18 papers, 470 citations indexed

About

Mansur Vafadust is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Pathology and Forensic Medicine. According to data from OpenAlex, Mansur Vafadust has authored 18 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Mansur Vafadust's work include Image and Signal Denoising Methods (14 papers), Advanced Image Fusion Techniques (12 papers) and Medical Image Segmentation Techniques (7 papers). Mansur Vafadust is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Advanced Image Fusion Techniques (12 papers) and Medical Image Segmentation Techniques (7 papers). Mansur Vafadust collaborates with scholars based in Iran, Canada and United States. Mansur Vafadust's co-authors include Hossein Rabbani, Saeed Gazor, Seyed Massood Nabavi, Farzad Towhidkhah, Rasoul Khayati, Purang Abolmaesumi, Seyed Mohammad Ahadi, Nima Khademi Kalantari, Amir Sedighi and Ivan Selesnick and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Mansur Vafadust

18 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansur Vafadust Iran 9 356 205 81 67 57 18 470
Ezequiel Geremia France 4 197 0.6× 34 0.2× 80 1.0× 126 1.9× 34 0.6× 6 303
Rajeshwar Dass India 9 164 0.5× 79 0.4× 136 1.7× 30 0.4× 6 0.1× 28 394
Jundong Liu United States 9 196 0.6× 32 0.2× 49 0.6× 64 1.0× 5 0.1× 35 362
Sundaresh Ram United States 11 254 0.7× 56 0.3× 61 0.8× 7 0.1× 9 0.2× 46 431
Chaolu Feng China 15 297 0.8× 69 0.3× 217 2.7× 63 0.9× 3 0.1× 53 505
E. Montseny Spain 9 481 1.4× 67 0.3× 130 1.6× 369 5.5× 6 0.1× 40 698
Yong Fan China 7 208 0.6× 37 0.2× 28 0.3× 17 0.3× 14 0.2× 18 346
Yanhui Guo China 7 383 1.1× 158 0.8× 343 4.2× 56 0.8× 25 0.4× 16 711
Min-Chun Yang Taiwan 9 276 0.8× 129 0.6× 63 0.8× 6 0.1× 7 0.1× 12 351
Rong‐Tai Chen Taiwan 8 282 0.8× 95 0.5× 129 1.6× 30 0.4× 8 0.1× 10 477

Countries citing papers authored by Mansur Vafadust

Since Specialization
Citations

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

Fields of papers citing papers by Mansur Vafadust

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansur Vafadust

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

All Works

18 of 18 papers shown
1.
Sedighi, Amir & Mansur Vafadust. (2011). A new and robust method for character segmentation and recognition in license plate images. Expert Systems with Applications. 35 indexed citations
2.
Kalantari, Nima Khademi, Seyed Mohammad Ahadi, & Mansur Vafadust. (2009). A Robust Image Watermarking in the Ridgelet Domain Using Universally Optimum Decoder. IEEE Transactions on Circuits and Systems for Video Technology. 20(3). 396–406. 61 indexed citations
3.
Hosseini, Reza & Mansur Vafadust. (2008). Almost Perfect Reconstruction Filter Bank for Non-redundant, Approximately Shift-Invariant, Complex Wavelet Transforms. MPG.PuRe (Max Planck Society). 2(1). 1–14. 2 indexed citations
4.
Khayati, Rasoul, Mansur Vafadust, Farzad Towhidkhah, & Seyed Massood Nabavi. (2008). Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model. Computers in Biology and Medicine. 38(3). 379–390. 125 indexed citations
5.
Rabbani, Hossein, Mansur Vafadust, Purang Abolmaesumi, & Saeed Gazor. (2008). Speckle Noise Reduction of Medical Ultrasound Images in Complex Wavelet Domain Using Mixture Priors. IEEE Transactions on Biomedical Engineering. 55(9). 2152–2160. 108 indexed citations
6.
Khayati, Rasoul, Mansur Vafadust, Farzad Towhidkhah, & Seyed Massood Nabavi. (2007). A novel method for automatic determination of different stages of multiple sclerosis lesions in brain MR FLAIR images. Computerized Medical Imaging and Graphics. 32(2). 124–133. 43 indexed citations
7.
Rabbani, Hossein & Mansur Vafadust. (2007). Image denoising in complex wavelet domain using a mixture of bivariate laplacian distributions with local parameters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6575. 65750P–65750P. 2 indexed citations
8.
9.
Rabbani, Hossein, Mansur Vafadust, Ivan Selesnick, & Saeed Gazor. (2007). Image Denoising Employing a Mixture of Circular Symmetric Laplacian Models with Local Parameters in Complex Wavelet Domain. I–805. 9 indexed citations
10.
Rabbani, Hossein, Mansur Vafadust, & Ivan Selesnick. (2007). Wavelet-based denoising using local Laplace prior. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6701. 67012H–67012H. 1 indexed citations
11.
Rabbani, Hossein, Mansur Vafadust, & Ivan Selesnick. (2007). Local bivariate Cauchy distribution for video denoising in 3D complex wavelet domain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6696. 66962G–66962G. 1 indexed citations
12.
Rabbani, Hossein, Mansur Vafadust, & Saeed Gazor. (2007). Image denoising based on a mixture of circular symmetric Laplacian models in complex wavelet domain. 1–4. 1 indexed citations
13.
Rabbani, Hossein, Mansur Vafadust, & Saeed Gazor. (2007). Video denoising based on a bivariate cauchy distribution in 3-D complex wavelet domain. 1–4. 4 indexed citations
14.
Rabbani, Hossein, Mansur Vafadust, & Saeed Gazor. (2007). Medical Volume Noise Reduction Employing a Laplace Distribution with Local Variance for Modeling Contourlet Coefficients. 6. 107–110. 2 indexed citations
15.
Rabbani, Hossein & Mansur Vafadust. (2007). Image/video denoising based on a mixture of Laplace distributions with local parameters in multidimensional complex wavelet domain. Signal Processing. 88(1). 158–173. 25 indexed citations
16.
Rabbani, Hossein, Mansur Vafadust, & Saeed Gazor. (2006). Image Denoising Based on a Mixture of Laplace Distributions with Local Parameters in Complex Wavelet Domain. 81. 2597–2600. 28 indexed citations
17.
Rabbani, Hossein, Mansur Vafadust, Ivan Selesnick, & Saeed Gazor. (2006). Image Denoising Based on A Mixture of Bivariate Laplacian Models in Complex Wavelet Domain. 50. 425–428. 5 indexed citations
18.
Rabbani, Hossein, Mansur Vafadust, Saeed Gazor, & Ivan Selesnick. (2006). Image Denoising Employing a Bivariate Cauchy Distribution with Local Variance in Complex Wavelet Domain. 203–208. 15 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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