Morteza Zabihi

956 total citations
21 papers, 663 citations indexed

About

Morteza Zabihi is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Morteza Zabihi has authored 21 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Cognitive Neuroscience and 5 papers in Signal Processing. Recurrent topics in Morteza Zabihi's work include EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (4 papers) and Cardiac Arrest and Resuscitation (4 papers). Morteza Zabihi is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (4 papers) and Cardiac Arrest and Resuscitation (4 papers). Morteza Zabihi collaborates with scholars based in Finland, Qatar and United States. Morteza Zabihi's co-authors include Serkan Kıranyaz, Moncef Gabbouj, Ali Bahrami Rad, Aggelos K. Katsaggelos, Türker İnce, Susanna Narkilahti, Dilek İnce, Ridha Hamila, Tarmo Lipping and V. Jäntti and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Morteza Zabihi

20 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morteza Zabihi Finland 11 316 314 205 148 75 21 663
Cristhian Potes United States 9 109 0.3× 162 0.5× 103 0.5× 190 1.3× 49 0.7× 17 536
Mohanad Alkhodari United Arab Emirates 13 222 0.7× 107 0.3× 151 0.7× 272 1.8× 84 1.1× 54 777
Evaggelos Karvounis Greece 11 240 0.8× 134 0.4× 130 0.6× 48 0.3× 58 0.8× 41 527
Ruhi Mahajan United States 14 251 0.8× 487 1.6× 221 1.1× 52 0.4× 45 0.6× 29 738
Tomás Teijeiro Switzerland 11 218 0.7× 190 0.6× 113 0.6× 152 1.0× 136 1.8× 36 612
Shivnarayan Patidar India 14 503 1.6× 656 2.1× 405 2.0× 204 1.4× 153 2.0× 28 1.1k
Shen Luo United States 7 1.1k 3.3× 418 1.3× 132 0.6× 125 0.8× 11 0.1× 17 1.2k
Natalia M. Arzeno United States 10 413 1.3× 221 0.7× 46 0.2× 52 0.4× 51 0.7× 21 641
S. Dinesh Nayak India 7 72 0.2× 280 0.9× 124 0.6× 62 0.4× 34 0.5× 16 612

Countries citing papers authored by Morteza Zabihi

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Zabihi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Zabihi

This figure shows the co-authorship network connecting the top 25 collaborators of Morteza Zabihi. A scholar is included among the top collaborators of Morteza Zabihi 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 Morteza Zabihi. Morteza Zabihi 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.
Zabihi, Morteza, et al.. (2023). HyperEnsemble Learning from Multimodal Biosignals to Robustly Predict Functional Outcome after Cardiac Arrest. Computing in cardiology. 50. 2 indexed citations
2.
Zabihi, Morteza, Serkan Kıranyaz, & Moncef Gabbouj. (2022). Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models. Qatar University QSpace (Qatar University). 2 indexed citations
3.
Kıranyaz, Serkan, Aysen Degerli, Tahir Hamid, et al.. (2022). Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection. Qatar University QSpace (Qatar University). 25 indexed citations
4.
Zabihi, Morteza, et al.. (2022). Feasibility of video/audio monitoring in the analysis of motion and treatment effects on night-time seizures – Interventional study. Epilepsy Research. 184. 106949–106949. 6 indexed citations
5.
Degerli, Aysen, Morteza Zabihi, Serkan Kıranyaz, et al.. (2021). Early Detection of Myocardial Infarction in Low-Quality Echocardiography. IEEE Access. 9. 34442–34453. 42 indexed citations
6.
Alonso, Erik, Unai Irusta, Elisabete Aramendi, et al.. (2021). A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation. 1–4. 2 indexed citations
7.
Kıranyaz, Serkan, Morteza Zabihi, Ali Bahrami Rad, et al.. (2020). Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks. Neurocomputing. 411. 291–301. 37 indexed citations
8.
Irusta, Unai, Ali Bahrami Rad, Elisabete Aramendi, et al.. (2019). Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions. IEEE Access. 7. 115147–115159. 24 indexed citations
9.
Zabihi, Morteza, Serkan Kıranyaz, & Moncef Gabbouj. (2019). Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models. Computing in cardiology. 45. 24 indexed citations
10.
Zabihi, Morteza, Ali Bahrami Rad, Simo Särkkä, et al.. (2018). Automatic Sleep Arousal Detection Using Multimodal Biosignal Analysis. Computing in cardiology. 45. 2 indexed citations
11.
Taipalmaa, Jussi, Morteza Zabihi, Serkan Kıranyaz, & Moncef Gabbouj. (2018). Feature-Based Cardiac Cycle Segmentation in Phonocardiogram Recordings. Computing in cardiology. 2 indexed citations
12.
Rad, Ali Bahrami, Unai Irusta, Morteza Zabihi, et al.. (2018). ECG Rhythm Analysis During Manual Chest Compressions Using an Artefact Removal Filter and Random Forest Classifiers. Computing in cardiology. 45. 4 indexed citations
13.
Zabihi, Morteza, Ali Bahrami Rad, Aggelos K. Katsaggelos, et al.. (2017). Detection of Atrial Fibrillation in ECG Hand-held Devices Using a Random Forest Classifier. Computing in cardiology. 44. 119 indexed citations
14.
Zabihi, Morteza, Ali Bahrami Rad, Serkan Kıranyaz, Moncef Gabbouj, & Aggelos K. Katsaggelos. (2016). Heart Sound Anomaly and Quality Detection using Ensemble of Neural Networks without Segmentation. Computing in cardiology. 43. 122 indexed citations
15.
Zabihi, Morteza, Serkan Kıranyaz, Ali Bahrami Rad, et al.. (2015). Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(3). 386–398. 114 indexed citations
16.
Kıranyaz, Serkan, Türker İnce, Morteza Zabihi, & Dilek İnce. (2014). Automated patient-specific classification of long-term Electroencephalography. Journal of Biomedical Informatics. 49. 16–31. 62 indexed citations
17.
Zabihi, Morteza, Serkan Kıranyaz, Türker İnce, & Moncef Gabbouj. (2013). Patient-specific epileptic seizure detection in long-term EEG recording in paediatric patients with intractable seizures. 7.06–7.06. 23 indexed citations
18.
19.
Zabihi, Morteza, et al.. (2011). Encryption based on variable chaotic key for wireless medical data transmission. 12. 1–5. 1 indexed citations
20.
Zabihi, Morteza, et al.. (2011). Tele-homecare system design for elderly. 10. 1–5.

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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