Mohammad Shahbakhti

424 total citations
31 papers, 275 citations indexed

About

Mohammad Shahbakhti is a scholar working on Cognitive Neuroscience, Signal Processing and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad Shahbakhti has authored 31 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 14 papers in Signal Processing and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad Shahbakhti's work include EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (12 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Mohammad Shahbakhti is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Blind Source Separation Techniques (12 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Mohammad Shahbakhti collaborates with scholars based in Iran, Lithuania and Poland. Mohammad Shahbakhti's co-authors include Piotr Augustyniak, Vaidotas Marozas, Michał Wierzchoń, Mojtaba Nazari, Jordi Solé‐Casals, Wei Chen, Jeroen Dudink, Jörn M. Horschig, Willy N. J. M. Colier and Marianne Floor and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Mohammad Shahbakhti

30 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Shahbakhti Iran 10 163 89 54 48 36 31 275
Ausilah Alfraihat Jordan 7 328 2.0× 92 1.0× 71 1.3× 46 1.0× 40 1.1× 10 455
ML Akin Türkiye 6 228 1.4× 82 0.9× 45 0.8× 29 0.6× 26 0.7× 7 366
Rajdeep Ghosh India 10 262 1.6× 118 1.3× 64 1.2× 30 0.6× 45 1.3× 15 362
Stefanos Georgiadis Finland 10 125 0.8× 56 0.6× 98 1.8× 73 1.5× 6 0.2× 22 381
Aya Khalaf United States 10 203 1.2× 20 0.2× 104 1.9× 50 1.0× 27 0.8× 29 314
Hakseung Kim South Korea 12 155 1.0× 22 0.2× 66 1.2× 85 1.8× 32 0.9× 44 412
Sofiane Boudaoud France 12 225 1.4× 46 0.5× 42 0.8× 328 6.8× 14 0.4× 46 479
Seung-Bo Lee South Korea 9 130 0.8× 24 0.3× 39 0.7× 43 0.9× 24 0.7× 34 274
Geetika Srivastava India 9 269 1.7× 88 1.0× 68 1.3× 69 1.4× 4 0.1× 51 444
Pega Zarjam Australia 9 281 1.7× 54 0.6× 72 1.3× 44 0.9× 42 1.2× 15 374

Countries citing papers authored by Mohammad Shahbakhti

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Shahbakhti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shahbakhti

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shahbakhti. A scholar is included among the top collaborators of Mohammad Shahbakhti 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 Shahbakhti. Mohammad Shahbakhti 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.
Shahbakhti, Mohammad, Tarmo Lipping, Wei Chen, et al.. (2024). Wearable EEG-Based Depth of Anesthesia Monitoring: A Nonparametric Feature Set. IEEE Sensors Journal. 24(11). 18098–18107. 3 indexed citations
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Shahbakhti, Mohammad, Wei Chen, Jordi Solé‐Casals, et al.. (2023). Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2037–2046. 29 indexed citations
5.
Shahbakhti, Mohammad, et al.. (2023). Prediction of Preterm Labor from the Electrohysterogram Signals Based on Different Gestational Weeks. Sensors. 23(13). 5965–5965. 3 indexed citations
6.
Shahbakhti, Mohammad, Jörn M. Horschig, Thomas Alderliesten, et al.. (2023). Respiratory Rate Extraction from Neonatal Near-Infrared Spectroscopy Signals. Sensors. 23(9). 4487–4487. 6 indexed citations
7.
Shahbakhti, Mohammad, et al.. (2023). Estimation of Respiratory Rate during Biking with a Single Sensor Functional Near-Infrared Spectroscopy (fNIRS) System. Sensors. 23(7). 3632–3632. 4 indexed citations
8.
Shahbakhti, Mohammad, Jörn M. Horschig, Marianne Floor, et al.. (2022). Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference. Biosensors. 12(12). 1170–1170. 8 indexed citations
9.
Shahbakhti, Mohammad, Wei Chen, Jordi Solé‐Casals, et al.. (2022). The Importance of Gender Specification for Detection of Driver Fatigue using a Single EEG Channel. Jagiellonian University Repository (Jagiellonian University). 1–3. 2 indexed citations
10.
Shahbakhti, Mohammad, et al.. (2021). VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 408–417. 52 indexed citations
11.
Shahbakhti, Mohammad, et al.. (2020). SWT-kurtosis based algorithm for elimination of electrical shift and linear trend from EEG signals. Biomedical Signal Processing and Control. 65. 102373–102373. 13 indexed citations
12.
Shahbakhti, Mohammad, et al.. (2019). A New Efficient Algorithm for Prediction of Preterm Labor. PubMed. 2019. 4669–4672. 4 indexed citations
13.
Shahbakhti, Mohammad, et al.. (2017). Investigating Wavelet Energy Vector for pre-term labor detection using EHG signals. 269–274. 6 indexed citations
14.
Shahbakhti, Mohammad, et al.. (2015). Adaptive wavelet technique for EEG de-noising. 1–4. 9 indexed citations
15.
Shahbakhti, Mohammad, et al.. (2015). Prediction of preterm labor from EHG signals using statistical and non-linear features. 65. 1–5. 5 indexed citations
16.
Shahbakhti, Mohammad, et al.. (2013). Investigation of two methods based on Empirical Mode Decomposition for removal of real and contaminated blink from EEG. International Conference on Information Fusion. 174–180. 1 indexed citations
17.
Shahbakhti, Mohammad, et al.. (2013). Combination of PCA and SVM for diagnosis of Parkinson's disease. 13 indexed citations
18.
Shahbakhti, Mohammad. (2013). Evaluation of two methods based on EMD for elimination of blink from EEG. 29. 223–227. 4 indexed citations
19.
Shahbakhti, Mohammad, et al.. (2013). Linear and non-linear speech features for detection of Parkinson's disease. 1–3. 12 indexed citations
20.
Shahbakhti, Mohammad, et al.. (2012). Removal of blink from EEG by Empirical Mode Decomposition (EMD). 1–5. 23 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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