Mohammad Pooyan

1.2k total citations
59 papers, 924 citations indexed

About

Mohammad Pooyan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad Pooyan has authored 59 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 15 papers in Cognitive Neuroscience and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad Pooyan's work include ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Blind Source Separation Techniques (6 papers). Mohammad Pooyan is often cited by papers focused on ECG Monitoring and Analysis (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Blind Source Separation Techniques (6 papers). Mohammad Pooyan collaborates with scholars based in Iran, United States and Malaysia. Mohammad Pooyan's co-authors include Elias Ebrahimzadeh, Meisam K. Arjmandi, Mohammad Mikaili, Mohammad Taghi Manzuri, Ali Taheri, Morteza Moazami-Goudarzi, Ali Motie Nasrabadi, Iman Saboori, Alireza Fallahi and Alireza Fallahi and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Neuroscience Letters.

In The Last Decade

Mohammad Pooyan

56 papers receiving 854 citations

Peers

Mohammad Pooyan
Behnaz Ghoraani United States
Musa Peker Türkiye
Türker Tuncer Türkiye
Xu Huang Australia
Karthikeyan Umapathy Canada
Mercedes Cabrerizo United States
Abhay Upadhyay India
Maziyar Baran Pouyan United States
Hongxing Liu China
David Cuesta–Frau Spain
Behnaz Ghoraani United States
Mohammad Pooyan
Citations per year, relative to Mohammad Pooyan Mohammad Pooyan (= 1×) peers Behnaz Ghoraani

Countries citing papers authored by Mohammad Pooyan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Pooyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Pooyan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Pooyan. A scholar is included among the top collaborators of Mohammad Pooyan 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 Mohammad Pooyan. Mohammad Pooyan 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.
Pooyan, Mohammad, et al.. (2025). Investigating resting-state functional connectivity changes within procedural memory network across neuropsychiatric disorders using fMRI. BMC Medical Imaging. 25(1). 18–18. 1 indexed citations
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Fallahi, Alireza, Mohammad Pooyan, Jafar Mehvari Habibabadi, & Mohammad‐Reza Nazem‐Zadeh. (2021). Comparison of multimodal findings on epileptogenic side in temporal lobe epilepsy using self-organizing maps. Magnetic Resonance Materials in Physics Biology and Medicine. 35(2). 249–266. 5 indexed citations
5.
Pooyan, Mohammad, et al.. (2021). Identification of effective features of LFP signal for making closed-loop deep brain stimulation in parkinsonian rats. Medical & Biological Engineering & Computing. 60(1). 135–149. 2 indexed citations
6.
Pooyan, Mohammad, et al.. (2020). Comparing performance of metaheuristic algorithms for finding the optimum structure of CNN for face recognition. International journal of nonlinear analysis and applications. 11(1). 301–319. 1 indexed citations
7.
Fallahi, Alireza, Mohammad Pooyan, Leili Tapak, et al.. (2020). Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach. Neurological Sciences. 42(6). 2379–2390. 21 indexed citations
8.
Pooyan, Mohammad, et al.. (2019). Toward a closed-loop deep brain stimulation in Parkinson’s disease using local field potential in parkinsonian rat model. Medical Hypotheses. 132. 109360–109360. 10 indexed citations
9.
Pooyan, Mohammad, et al.. (2018). SSVEP recognition by modeling brain activity using system identification based on Box-Jenkins model. Computers in Biology and Medicine. 101. 82–89. 7 indexed citations
10.
Ghobadi‐Azbari, Peyman, et al.. (2017). A novel approach to the extraction of fetal electrocardiogram based on empirical mode decomposition and correlation analysis. Australasian Physical & Engineering Sciences in Medicine. 40(3). 565–574. 15 indexed citations
11.
Pooyan, Mohammad, et al.. (2016). ACCURATE DETECTION AND CASSIFICATION OF VENTRICULAR ABNORMAMLITIESS USING MORPHOLOGICAL FEATURES. Journal of Fundamental and Applied Sciences. 8. 1659–1670. 1 indexed citations
12.
Pooyan, Mohammad, et al.. (2015). Arrangement and Applying of Movement Patterns in the Cerebellum Based on Semi-supervised Learning. The Cerebellum. 15(3). 299–305. 8 indexed citations
13.
Ebrahimzadeh, Elias, et al.. (2014). A Novel Approach to Predict Sudden Cardiac Death (SCD) Using Nonlinear and Time-Frequency Analyses from HRV Signals. PLoS ONE. 9(2). e81896–e81896. 102 indexed citations
14.
Ebrahimzadeh, Elias & Mohammad Pooyan. (2013). PREDICTION OF SUDDEN CARDIAC DEATH (SCD) USING TIME-FREQUENCY ANALYSIS OF ECG SIGNALS. 3(4). 15–26. 11 indexed citations
15.
Pooyan, Mohammad, et al.. (2013). CLASSIFICATION OF BRAIN SIGNALS IN NORMAL SUBJECTS AND PATIENTS WITH EPILEPSY USING MIXTURE OF EXPERTS. 4(1). 1–8. 14 indexed citations
16.
Ghodrati, Masoud, et al.. (2012). How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?. PLoS ONE. 7(2). e32357–e32357. 30 indexed citations
17.
Fallahi, Alireza, Mohammad Pooyan, Hossein Ghanaati, et al.. (2011). Uterine Segmentation and Volume Measurement in Uterine Fibroid Patients’ MRI Using Fuzzy C-Mean Algorithm and Morphological Operations. Iranian Journal of Radiology. 8(3). 150–156. 24 indexed citations
18.
Arjmandi, Meisam K., et al.. (2010). Identification of Voice Disorders Using Long-Time Features and Support Vector Machine With Different Feature Reduction Methods. Journal of Voice. 25(6). e275–e289. 67 indexed citations
19.
Pooyan, Mohammad, et al.. (2010). Introduction and application of an automatic gait recognition method to diagnose movement disorders that arose of similar causes. Expert Systems with Applications. 38(6). 7359–7363. 19 indexed citations
20.
Tajbakhsh, Saeed, et al.. (2008). Study of Antibacterial Activity of a Green Alga, Caulerpa Sertularioides from the Persian Gulf. International Journal of Infectious Diseases. 12. e403–e404. 1 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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