Mansoor Rezghi

618 total citations
33 papers, 427 citations indexed

About

Mansoor Rezghi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics. According to data from OpenAlex, Mansoor Rezghi has authored 33 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 5 papers in Computational Mathematics. Recurrent topics in Mansoor Rezghi's work include Face and Expression Recognition (9 papers), Image and Signal Denoising Methods (8 papers) and Sparse and Compressive Sensing Techniques (6 papers). Mansoor Rezghi is often cited by papers focused on Face and Expression Recognition (9 papers), Image and Signal Denoising Methods (8 papers) and Sparse and Compressive Sensing Techniques (6 papers). Mansoor Rezghi collaborates with scholars based in Iran, Sweden and Netherlands. Mansoor Rezghi's co-authors include S. Mohammad Hosseini, Lars Eldén, Hamidreza Amindavar, Maryam Amirmazlaghani, Mahdi Nasiri, M.R. Eslahchi, Saeid Sadeghnejad, Askar Obulkasim, S. Mohammad Hosseini and M. Reza Hosseini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Mansoor Rezghi

33 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mansoor Rezghi Iran 13 158 85 59 43 42 33 427
Chengcai Leng China 14 303 1.9× 91 1.1× 37 0.6× 96 2.2× 28 0.7× 62 574
Nicoletta Del Buono Italy 14 88 0.6× 88 1.0× 66 1.1× 15 0.3× 22 0.5× 54 532
Shanmin Pang China 17 475 3.0× 245 2.9× 68 1.2× 112 2.6× 21 0.5× 60 731
Srinadh Bhojanapalli United States 9 255 1.6× 382 4.5× 130 2.2× 39 0.9× 19 0.5× 15 647
Jihun Ham United States 6 319 2.0× 189 2.2× 57 1.0× 64 1.5× 15 0.4× 6 538
Qianli Liao United States 11 156 1.0× 337 4.0× 69 1.2× 22 0.5× 16 0.4× 26 725
Bing Yang China 11 123 0.8× 91 1.1× 44 0.7× 134 3.1× 25 0.6× 68 423
Yunfeng Cai China 11 112 0.7× 87 1.0× 31 0.5× 26 0.6× 6 0.1× 44 390
Zhenqiu Shu China 14 408 2.6× 138 1.6× 46 0.8× 116 2.7× 14 0.3× 69 587

Countries citing papers authored by Mansoor Rezghi

Since Specialization
Citations

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

Fields of papers citing papers by Mansoor Rezghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mansoor Rezghi

This figure shows the co-authorship network connecting the top 25 collaborators of Mansoor Rezghi. A scholar is included among the top collaborators of Mansoor Rezghi 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 Mansoor Rezghi. Mansoor Rezghi 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.
Rezghi, Mansoor, et al.. (2025). A double sided deep nonnegative matrix factorization network for feature extraction of two dimensional data. Expert Systems with Applications. 271. 126652–126652. 1 indexed citations
2.
Rezghi, Mansoor, et al.. (2024). A novel fuzzy co-clustering method for recommender systems via inverse stereographic NMF. Expert Systems with Applications. 259. 125301–125301. 2 indexed citations
3.
Rezghi, Mansoor, et al.. (2022). A novel conformal deformation based sparse subspace clustering. International Journal of Machine Learning and Cybernetics. 14(5). 1579–1590. 1 indexed citations
4.
Rezghi, Mansoor, et al.. (2022). A block column iteration for nonnegative matrix factorization. Journal of Computational Science. 64. 101863–101863. 1 indexed citations
5.
Eslahchi, M.R., et al.. (2021). Image denoising by a novel variable‐order total fractional variation model. Mathematical Methods in the Applied Sciences. 44(8). 7250–7261. 13 indexed citations
6.
Rezghi, Mansoor, et al.. (2021). A comparative study on image-based snake identification using machine learning. Scientific Reports. 11(1). 19142–19142. 23 indexed citations
7.
Rezghi, Mansoor, et al.. (2020). A Tensor-Based Framework for rs-fMRI Classification and Functional Connectivity Construction. Frontiers in Neuroinformatics. 14. 581897–581897. 6 indexed citations
8.
Rezghi, Mansoor, et al.. (2020). A Novel Enriched Version of Truncated Nuclear Norm Regularization for Matrix Completion of Inexact Observed Data. IEEE Transactions on Knowledge and Data Engineering. 34(2). 519–530. 13 indexed citations
9.
Rezghi, Mansoor, et al.. (2020). A Hybrid Image Denoising Method Based on Integer and Fractional-Order Total Variation. Iranian Journal of Science and Technology Transactions A Science. 44(6). 1803–1814. 17 indexed citations
10.
Minaei‐Bidgoli, Behrouz, et al.. (2020). Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks. Engineering Applications of Artificial Intelligence. 94. 103741–103741. 2 indexed citations
11.
Rezghi, Mansoor, et al.. (2017). Fuzzy clustering in community detection based on nonnegative matrix factorization with two novel evaluation criteria. Applied Soft Computing. 69. 689–703. 43 indexed citations
12.
Rezghi, Mansoor, et al.. (2017). A splitting method for total least squares color image restoration problem. Journal of Visual Communication and Image Representation. 46. 48–57. 6 indexed citations
13.
Rezghi, Mansoor, et al.. (2015). A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization. SHILAP Revista de lepidopterología. 26(3). 273–279. 1 indexed citations
14.
Rezghi, Mansoor, et al.. (2015). Integrated single image super resolution based on sparse representation. 37 3. 192–195. 1 indexed citations
15.
16.
Amirmazlaghani, Maryam, Mansoor Rezghi, & Hamidreza Amindavar. (2014). A novel robust scaling image watermarking scheme based on Gaussian Mixture Model. Expert Systems with Applications. 42(4). 1960–1971. 36 indexed citations
17.
Hosseini, S. Mohammad, et al.. (2012). A Novel Weighted Support Vector Machine Based on Particle Swarm Optimization for Gene Selection and Tumor Classification. Computational and Mathematical Methods in Medicine. 2012. 1–7. 50 indexed citations
18.
Rezghi, Mansoor & Lars Eldén. (2011). Diagonalization of tensors with circulant structure. Linear Algebra and its Applications. 435(3). 422–447. 22 indexed citations
19.
Rezghi, Mansoor & S. Mohammad Hosseini. (2009). A new variant of L-curve for Tikhonov regularization. Journal of Computational and Applied Mathematics. 231(2). 914–924. 55 indexed citations
20.
Rezghi, Mansoor & S. Mohammad Hosseini. (2005). An ILU preconditioner for nonsymmetric positive definite matrices by using the conjugate Gram–Schmidt process. Journal of Computational and Applied Mathematics. 188(1). 150–164. 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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