Alireza Sepas‐Moghaddam

927 total citations
36 papers, 631 citations indexed

About

Alireza Sepas‐Moghaddam is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Alireza Sepas‐Moghaddam has authored 36 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Alireza Sepas‐Moghaddam's work include Face and Expression Recognition (13 papers), Face recognition and analysis (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Alireza Sepas‐Moghaddam is often cited by papers focused on Face and Expression Recognition (13 papers), Face recognition and analysis (10 papers) and Metaheuristic Optimization Algorithms Research (9 papers). Alireza Sepas‐Moghaddam collaborates with scholars based in Iran, Portugal and Canada. Alireza Sepas‐Moghaddam's co-authors include Paulo Lobato Correia, Fernando Pereira, Danial Yazdani, Ali Etemad, Babak Nasiri, Mohammad Reza Meybodi, Guangyi Zhang, Yaoxue Zhang, Vandad Davoodnia and Reza Azizi and has published in prestigious journals such as Applied Soft Computing, IEEE Transactions on Information Forensics and Security and IEEE Sensors Journal.

In The Last Decade

Alireza Sepas‐Moghaddam

35 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alireza Sepas‐Moghaddam Iran 14 272 198 115 113 103 36 631
Hong He China 12 195 0.7× 167 0.8× 123 1.1× 90 0.8× 26 0.3× 35 552
Shin‐Dug Kim South Korea 15 204 0.8× 121 0.6× 119 1.0× 45 0.4× 36 0.3× 132 948
Enzeng Dong China 17 300 1.1× 113 0.6× 333 2.9× 60 0.5× 46 0.4× 93 1.1k
Giorgio Roffo Italy 10 162 0.6× 224 1.1× 52 0.5× 44 0.4× 39 0.4× 17 494
Yasin Kaya Türkiye 13 140 0.5× 166 0.8× 145 1.3× 83 0.7× 30 0.3× 31 631
Aznul Qalid Md Sabri Malaysia 15 173 0.6× 252 1.3× 57 0.5× 61 0.5× 18 0.2× 44 697
Clodoaldo A. M. Lima Brazil 13 121 0.4× 215 1.1× 254 2.2× 194 1.7× 16 0.2× 51 653
Weicheng Xie China 13 382 1.4× 182 0.9× 48 0.4× 60 0.5× 34 0.3× 53 663
Filippo Vella Italy 12 263 1.0× 173 0.9× 49 0.4× 41 0.4× 21 0.2× 62 498
C.C. Jorgensen United States 10 141 0.5× 100 0.5× 163 1.4× 65 0.6× 27 0.3× 18 461

Countries citing papers authored by Alireza Sepas‐Moghaddam

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Sepas‐Moghaddam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alireza Sepas‐Moghaddam. 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 Alireza Sepas‐Moghaddam. The network helps show where Alireza Sepas‐Moghaddam may publish in the future.

Co-authorship network of co-authors of Alireza Sepas‐Moghaddam

This figure shows the co-authorship network connecting the top 25 collaborators of Alireza Sepas‐Moghaddam. A scholar is included among the top collaborators of Alireza Sepas‐Moghaddam 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 Alireza Sepas‐Moghaddam. Alireza Sepas‐Moghaddam 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.
Sepas‐Moghaddam, Alireza, et al.. (2022). FaceTopoNet: Facial Expression Recognition Using Face Topology Learning. IEEE Transactions on Artificial Intelligence. 4(6). 1526–1539. 11 indexed citations
2.
Sepas‐Moghaddam, Alireza, et al.. (2022). Multiview Video-Based 3-D Hand Pose Estimation. IEEE Transactions on Artificial Intelligence. 4(4). 896–909. 20 indexed citations
3.
Sepas‐Moghaddam, Alireza, et al.. (2021). Face Trees for Expression Recognition. 1–5. 6 indexed citations
4.
Sepas‐Moghaddam, Alireza, et al.. (2020). Attention-aware fusion for RGB-D face recognition. arXiv (Cornell University). 4 indexed citations
5.
Sepas‐Moghaddam, Alireza, Ali Etemad, Fernando Pereira, & Paulo Lobato Correia. (2020). Facial Emotion Recognition Using Light Field Images with Deep Attention-Based Bidirectional LSTM. 3367–3371. 36 indexed citations
6.
Zhang, Guangyi, Vandad Davoodnia, Alireza Sepas‐Moghaddam, Yaoxue Zhang, & Ali Etemad. (2019). Classification of Hand Movements From EEG Using a Deep Attention-Based LSTM Network. IEEE Sensors Journal. 20(6). 3113–3122. 127 indexed citations
7.
Sepas‐Moghaddam, Alireza, Ali Etemad, Paulo Lobato Correia, & Fernando Pereira. (2019). A Deep Framework for Facial Emotion Recognition using Light Field Images. 10. 1–7. 13 indexed citations
8.
Sepas‐Moghaddam, Alireza, Fernando Pereira, & Paulo Lobato Correia. (2019). Face recognition: a novel multi‐level taxonomy based survey. IET Biometrics. 9(2). 58–67. 2 indexed citations
9.
Sepas‐Moghaddam, Alireza, Fernando Pereira, & Paulo Lobato Correia. (2018). Light Field-Based Face Presentation Attack Detection: Reviewing, Benchmarking and One Step Further. IEEE Transactions on Information Forensics and Security. 13(7). 1696–1709. 32 indexed citations
10.
Quevedo, José, Rui Ferreira, Alireza Sepas‐Moghaddam, et al.. (2018). Selectively Accessing Light Field Face Images over Information Centric Networking. 13. 1–5. 1 indexed citations
11.
Sepas‐Moghaddam, Alireza, Fernando Pereira, & Paulo Lobato Correia. (2018). Ear Presentation Attack Detection: Benchmarking Study with First Lenslet Light Field Database. 2355–2359. 3 indexed citations
12.
Sepas‐Moghaddam, Alireza, Paulo Lobato Correia, & Fernando Pereira. (2017). Light field local binary patterns description for face recognition. 3815–3819. 22 indexed citations
13.
Yazdani, Danial, et al.. (2014). mNAFSA: A novel approach for optimization in dynamic environments with global changes. Swarm and Evolutionary Computation. 18. 38–53. 36 indexed citations
14.
Moin, Mohammad‐Shahram & Alireza Sepas‐Moghaddam. (2013). Face recognition in JPEG compressed domain: a novel coefficient selection approach. Signal Image and Video Processing. 9(3). 651–663. 3 indexed citations
15.
Yazdani, Danial, et al.. (2013). A New Algorithm Based on Improved Artificial Fish Swarm Algorithm for Data Clustering. 11. 193–221. 16 indexed citations
16.
Yazdani, Danial, Babak Nasiri, Alireza Sepas‐Moghaddam, & Mohammad Reza Meybodi. (2013). A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization. Applied Soft Computing. 13(4). 2144–2158. 95 indexed citations
17.
Yazdani, Danial, et al.. (2012). A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach. 21. 137–142. 6 indexed citations
18.
Sepas‐Moghaddam, Alireza, et al.. (2012). A novel hybrid algorithm for optimization in multimodal Dynamic environments. 143–148. 8 indexed citations
19.
Sepas‐Moghaddam, Alireza, Mohammad‐Shahram Moin, & Hamidreza Rashidy Kanan. (2011). A new preselection method for face recognition in JPEG domain based on face segmentation. 132–137. 3 indexed citations
20.
Sepas‐Moghaddam, Alireza, Mohammad‐Shahram Moin, & Hamidreza Rashidy Kanan. (2010). A low complexity and efficient face recognition approach in JPEG compressed domain using quantized coefficients. 16. 781–786. 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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