Omid Sayadi

1.3k total citations
28 papers, 1.0k citations indexed

About

Omid Sayadi is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Omid Sayadi has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 13 papers in Biomedical Engineering and 9 papers in Cognitive Neuroscience. Recurrent topics in Omid Sayadi's work include ECG Monitoring and Analysis (20 papers), EEG and Brain-Computer Interfaces (9 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Omid Sayadi is often cited by papers focused on ECG Monitoring and Analysis (20 papers), EEG and Brain-Computer Interfaces (9 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Omid Sayadi collaborates with scholars based in Iran, United States and United Kingdom. Omid Sayadi's co-authors include Mohammad Bagher Shamsollahi, Gari D. Clifford, Antonis A. Armoundas, Faisal M. Merchant, Joachim A. Behar, Julien Oster, Alistair E. W. Johnson, Shamim Nemati, Christian Jutten and E. Kevin Heist and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Omid Sayadi

27 papers receiving 984 citations

Peers

Omid Sayadi

CCM

PRM

L. N. Sharma India

Cuiwei Li China

Ashish Kumar India

Chong-Xun Zheng China

T.C. Jannett United States

Shivnarayan Patidar India

F. Bereksi‐Reguig Algeria

M. Bilginer Gülmezoğlu Türkiye

Syed Khairul Bashar United States

Jun Dong China

L. N. Sharma India

Omid Sayadi

704 ×0.8

CCM

474 ×1.0

248 ×0.6

136 ×0.8

189 ×1.3

PRM

Citations per year, relative to Omid Sayadi Omid Sayadi (= 1×) peers L. N. Sharma

Countries citing papers authored by Omid Sayadi

Since Specialization

Citations

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

Fields of papers citing papers by Omid Sayadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omid Sayadi

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

Kulkarni, Kanchan, Faisal M. Merchant, Mohamad Kassab, et al.. (2019). Cardiac Alternans: Mechanisms and Clinical Utility in Arrhythmia Prevention. Journal of the American Heart Association. 8(21). e013750–e013750. 22 indexed citations

Merchant, Faisal M., Omid Sayadi, Ashish Kumar Sahani, et al.. (2017). A Novel Point-of-Care Smartphone Based System for Monitoring the Cardiac and Respiratory Systems. Scientific Reports. 7(1). 44946–44946. 23 indexed citations

Jutten, Christian, et al.. (2016). ECG denoising and fiducial point extraction using an extended Kalman filtering framework with linear and nonlinear phase observations. Physiological Measurement. 37(2). 203–226. 31 indexed citations

Shamsollahi, Mohammad Bagher, et al.. (2016). ECG segmentation and fiducial point extraction using multi hidden Markov model. Computers in Biology and Medicine. 79. 21–29. 34 indexed citations

Sayadi, Omid, et al.. (2014). An optimized method for the estimation of the respiratory rate from electrocardiographic signals: implications for estimating minute ventilation. American Journal of Physiology-Heart and Circulatory Physiology. 307(3). H437–H447. 9 indexed citations

Merchant, Faisal M., et al.. (2013). T-Wave Alternans as an Arrhythmic Risk Stratifier: State of the Art. Current Cardiology Reports. 15(9). 398–398. 23 indexed citations

Sayadi, Omid, Faisal M. Merchant, Theofanie Mela, et al.. (2013). A Novel Method for Determining the Phase of T-Wave Alternans. Circulation Arrhythmia and Electrophysiology. 6(4). 818–826. 8 indexed citations

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2013). Utility of a Nonlinear Joint Dynamical Framework to Model a Pair of Coupled Cardiovascular Signals. IEEE Journal of Biomedical and Health Informatics. 17(4). 881–890. 4 indexed citations

Merchant, Faisal M., et al.. (2013). A translational approach to probe the proarrhythmic potential of cardiac alternans: a reversible overture to arrhythmogenesis?. American Journal of Physiology-Heart and Circulatory Physiology. 306(4). H465–H474. 10 indexed citations

10.

Armoundas, Antonis A., Omid Sayadi, Theofanie Mela, et al.. (2012). A novel pacing method to suppress repolarization alternans in vivo: Implications for arrhythmia prevention. Heart Rhythm. 10(4). 564–572. 12 indexed citations

11.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2011). Life-Threatening Arrhythmia Verification in ICU Patients Using the Joint Cardiovascular Dynamical Model and a Bayesian Filter. IEEE Transactions on Biomedical Engineering. 58(10). 2748–2757. 29 indexed citations

12.

Sayadi, Omid, Mohammad Bagher Shamsollahi, & Gari D. Clifford. (2010). Synthetic ECG generation and Bayesian filtering using a Gaussian wave-based dynamical model. Physiological Measurement. 31(10). 1309–1329. 60 indexed citations

13.

Sayadi, Omid, Mohammad Bagher Shamsollahi, & Gari D. Clifford. (2009). Robust Detection of Premature Ventricular Contractions Using a Wave-Based Bayesian Framework. IEEE Transactions on Biomedical Engineering. 57(2). 353–362. 113 indexed citations

14.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2009). A model-based Bayesian framework for ECG beat segmentation. Physiological Measurement. 30(3). 335–352. 103 indexed citations

15.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2008). ECG Denoising and Compression Using a Modified Extended Kalman Filter Structure. IEEE Transactions on Biomedical Engineering. 55(9). 2240–2248. 199 indexed citations

16.

Sayadi, Omid, Reza Sameni, & Mohammad Bagher Shamsollahi. (2007). ECG Denoising Using Parameters of ECG Dynamical Model as the States of an Extended Kalman Filter. Conference proceedings. 2007. 2548–2551. 18 indexed citations

17.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2007). Model-Based Fiducial Points Extraction for Baseline Wandered Electrocardiograms. IEEE Transactions on Biomedical Engineering. 55(1). 347–351. 43 indexed citations

18.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2007). Multiadaptive Bionic Wavelet Transform: Application to ECG Denoising and Baseline Wandering Reduction. EURASIP Journal on Advances in Signal Processing. 2007(1). 86 indexed citations

19.

Sayadi, Omid & Mohammad Bagher Shamsollahi. (2006). ECG Denoising with Adaptive Bionic Wavelet Transform. PubMed. Suppl. 6597–6600. 42 indexed citations

20.

Nezhadarya, Ehsan, Mohammad Bagher Shamsollahi, & Omid Sayadi. (2006). Fuzzy Wavelet and Contourlet Based Contrast Enhancement. PubMed. 2762. 6635–6638. 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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