Saideh Ferdowsi

731 total citations
36 papers, 545 citations indexed

About

Saideh Ferdowsi is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saideh Ferdowsi has authored 36 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 13 papers in Cognitive Neuroscience and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saideh Ferdowsi's work include Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (11 papers) and Sparse and Compressive Sensing Techniques (9 papers). Saideh Ferdowsi is often cited by papers focused on Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (11 papers) and Sparse and Compressive Sensing Techniques (9 papers). Saideh Ferdowsi collaborates with scholars based in United Kingdom, Iran and United States. Saideh Ferdowsi's co-authors include Vahid Abolghasemi, Saeid Sanei, Mansoor Fateh, Mohsen Rezvani, Kianoush Nazarpour, Judith Nottage, Ali Alameer, Owen O’Daly, Andrzej Cichocki and Rasoul Ameri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Saideh Ferdowsi

35 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saideh Ferdowsi United Kingdom	12	229	186	160	139	99	36	545
Luisa F. Polanía United States	14	227 1.0×	171 0.9×	44 0.3×	246 1.8×	172 1.7×	24	590
Cristhian Potes United States	9	96 0.4×	103 0.6×	162 1.0×	73 0.5×	47 0.5×	17	536
Zhenghua Wu China	12	80 0.3×	63 0.3×	286 1.8×	115 0.8×	52 0.5×	54	533
Saeid Sanei United Kingdom	12	76 0.3×	202 1.1×	256 1.6×	82 0.6×	48 0.5×	28	515
Hossein Mamaghanian Switzerland	8	366 1.6×	225 1.2×	68 0.4×	505 3.6×	89 0.9×	13	765
Thomas Arildsen Denmark	8	127 0.6×	122 0.7×	27 0.2×	84 0.6×	132 1.3×	24	440
Masao Yamagishi Japan	11	256 1.1×	156 0.8×	55 0.3×	27 0.2×	132 1.3×	49	422
Sang Chin United States	12	166 0.7×	64 0.3×	58 0.4×	173 1.2×	89 0.9×	52	547
Richard M. Dansereau Canada	11	149 0.7×	305 1.6×	46 0.3×	55 0.4×	118 1.2×	81	545
Xiefeng Cheng China	11	92 0.4×	67 0.4×	37 0.2×	76 0.5×	93 0.9×	46	389

Countries citing papers authored by Saideh Ferdowsi

Since Specialization

Citations

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

Fields of papers citing papers by Saideh Ferdowsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saideh Ferdowsi

This figure shows the co-authorship network connecting the top 25 collaborators of Saideh Ferdowsi. A scholar is included among the top collaborators of Saideh Ferdowsi 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 Saideh Ferdowsi. Saideh Ferdowsi 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

Fateh, Mansoor, et al.. (2025). Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach. Sensors. 25(23). 7233–7233. 2 indexed citations

Ferdowsi, Saideh, et al.. (2025). Identifying the human olfactory and chemosignaling neural networks using event related fMRI and graph theory. Scientific Reports. 15(1). 12000–12000. 1 indexed citations

Foulsham, Tom, et al.. (2024). Assessing Neural Patterns of Anxiety Using Deep Learning: An EEG Study. 1596–1600. 2 indexed citations

Ferdowsi, Saideh, et al.. (2022). Common Spatial Pattern with Deep Learning for Fetal Heart Rate Monitoring. 1–6.

Ferdowsi, Saideh, Dimitri Ognibene, Tom Foulsham, et al.. (2020). Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas. BOA (University of Milano-Bicocca). 513–518. 1 indexed citations

Fateh, Mansoor, et al.. (2020). Spatio-temporal deep learning for EEG-fNIRS brain computer interface. PubMed. 2020. 124–127. 9 indexed citations

Ferdowsi, Saideh & Vahid Abolghasemi. (2017). Simultaneous BOLD detection and incomplete fMRI data reconstruction. Medical & Biological Engineering & Computing. 56(4). 599–610. 2 indexed citations

Ferdowsi, Saideh & Vahid Abolghasemi. (2017). Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Transactions on Biomedical Engineering. 65(8). 1717–1724. 5 indexed citations

Ferdowsi, Saideh, Vahid Abolghasemi, & Saeid Sanei. (2015). A new informed tensor factorization approach to EEG–fMRI fusion. Journal of Neuroscience Methods. 254. 27–35. 17 indexed citations

10.

Abolghasemi, Vahid & Saideh Ferdowsi. (2015). EEG–fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG. Biomedical Signal Processing and Control. 18. 186–194. 17 indexed citations

11.

Abolghasemi, Vahid, Saideh Ferdowsi, Hao Shen, Yaochun Shen, & Lu Gan. (2014). Spatio-spectral data reconstruction in terahertz imaging. 54. 129–133. 1 indexed citations

12.

Ferdowsi, Saideh, Saeid Sanei, Vahid Abolghasemi, Judith Nottage, & Owen O’Daly. (2013). Removing Ballistocardiogram Artifact From EEG Using Short- and Long-Term Linear Predictor. IEEE Transactions on Biomedical Engineering. 60(7). 1900–1911. 21 indexed citations

13.

Ferdowsi, Saideh, Vahid Abolghasemi, & Saeid Sanei. (2013). EEG-FMRI integration using a partially constrained tensor factorization. 33. 6191–6195. 5 indexed citations

14.

Abolghasemi, Vahid, Saideh Ferdowsi, & Saeid Sanei. (2012). Blind Separation of Image Sources via Adaptive Dictionary Learning. IEEE Transactions on Image Processing. 21(6). 2921–2930. 36 indexed citations

15.

Ferdowsi, Saideh, Vahid Abolghasemi, & Saeid Sanei. (2012). Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering. 1–6. 6 indexed citations

16.

Abolghasemi, Vahid, Saideh Ferdowsi, Bahador Makkiabadi, & Saeid Sanei. (2012). Adaptive fusion of dictionary learning and multichannel BSS. Surrey Research Insight Open Access (The University of Surrey). 54. 2421–2424. 2 indexed citations

17.

Ferdowsi, Saideh, Vahid Abolghasemi, Bahador Makkiabadi, & Saeid Sanei. (2011). A new spatially constrained NMF with application to fMRI. PubMed. 2011. 5052–5055. 7 indexed citations

18.

Abolghasemi, Vahid, Saideh Ferdowsi, & Saeid Sanei. (2011). Sparse multichannel source separation using incoherent K-SVD method. View. 54. 477–480. 1 indexed citations

19.

Abolghasemi, Vahid & Saideh Ferdowsi. (2010). On Optimization Of The Measurement Matrix For Compressive Sensing. INFM-OAR (INFN Catania). 427–431. 91 indexed citations

20.

Abolghasemi, Vahid, et al.. (2009). Segmented compressive sensing. View. 630–633. 7 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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