Saideh Ferdowsi

36 papers receiving 543 citations

Peers

Saideh Ferdowsi
Comparison fields: 5 of 69
  • Computational Mathematics 21
  • Signal Processing 176
  • Acoustics and Ultrasonics 12
  • Computational Mechanics 230
  • Cognitive Neuroscience 158
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Zhenghua Wu China
Thomas Arildsen Denmark
Christian Jutten France
Saeid Sanei United Kingdom
Karsten Fyhn Denmark
Luisa F. Polanía United States
Hassan Rabah France
Lan Tang China
Yuan-Hao Huang Taiwan
Clive Cheong Took United Kingdom
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Citations per field
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Citations per year

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-authors

The 21 scholars most cited alongside Saideh Ferdowsi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saideh Ferdowsi Line = papers co-authored together Saideh Ferdowsi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011125
2 201091
3 201365
4 201236
5 202033
6 201321
7 202119
8 201517
9 201517
10 201415
11 201212
12 201011
13 201811
14 20209
15 20228
16 20117
17 20097
18 20126
19 20135
20 20175

About Saideh Ferdowsi

Saideh Ferdowsi is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering, having authored 37 papers that have together received 555 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (11 papers), Sparse and Compressive Sensing Techniques (9 papers), Microwave Imaging and Scattering Analysis (4 papers), Image and Signal Denoising Methods (4 papers), Advanced MRI Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Computational Mathematics (21 citations), Signal Processing (176 citations), Acoustics and Ultrasonics (12 citations), Computational Mechanics (230 citations) and Cognitive Neuroscience (158 citations). Saideh Ferdowsi has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Vahid Abolghasemi, Saeid Sanei, Mansoor Fateh, Mohsen Rezvani, Kianoush Nazarpour, Ali Alameer, Judith Nottage, Owen O’Daly, Andrzej Cichocki and Rasoul Ameri. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Neurocomputing, IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Instrumentation and Measurement.

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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