Mohammad Ghamari

1.7k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

Mohammad Ghamari is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Networks and Communications. According to data from OpenAlex, Mohammad Ghamari has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 20 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Networks and Communications. Recurrent topics in Mohammad Ghamari's work include Non-Invasive Vital Sign Monitoring (23 papers), Heart Rate Variability and Autonomic Control (16 papers) and ECG Monitoring and Analysis (6 papers). Mohammad Ghamari is often cited by papers focused on Non-Invasive Vital Sign Monitoring (23 papers), Heart Rate Variability and Autonomic Control (16 papers) and ECG Monitoring and Analysis (6 papers). Mohammad Ghamari collaborates with scholars based in United States, Iran and United Kingdom. Mohammad Ghamari's co-authors include R. Simon Sherratt, Cinna Soltanpur, William Harwin, Balazs Janko, Robert J. Piechocki, Girma Tewolde, Mehrübe Mehrübeoğlu, Khalil Alipour, Bahram Tarvirdizadeh and H. Nazeran and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Mohammad Ghamari

31 papers receiving 1.1k citations

Hit Papers

A review on wearable photoplethysmography sensors and the... 2018 2026 2020 2023 2018 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review on wearable photoplethysmography sensors and their potential future applications in health care
    2018 660 citations Mohammad Ghamari PubMed profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Ghamari United States 10 769 467 226 197 163 41 1.2k
Reza Saatchi United Kingdom 13 597 0.8× 206 0.4× 127 0.6× 129 0.7× 149 0.9× 93 1.1k
Marco Altini Netherlands 18 436 0.6× 446 1.0× 87 0.4× 55 0.3× 189 1.2× 51 1.3k
Shing-Hong Liu Taiwan 21 769 1.0× 615 1.3× 117 0.5× 232 1.2× 136 0.8× 98 1.4k
Sarah Ostadabbas United States 21 561 0.7× 196 0.4× 62 0.3× 145 0.7× 111 0.7× 106 1.5k
Se Dong Min South Korea 16 528 0.7× 259 0.6× 72 0.3× 112 0.6× 111 0.7× 56 997
Vaidotas Marozas Lithuania 20 622 0.8× 813 1.7× 67 0.3× 201 1.0× 75 0.5× 110 1.5k
Yuan‐Hsiang Lin Taiwan 12 318 0.4× 199 0.4× 142 0.6× 98 0.5× 79 0.5× 39 600
Dejan Raŝković United States 12 469 0.6× 189 0.4× 296 1.3× 51 0.3× 180 1.1× 17 878
P. Carvalho Portugal 25 519 0.7× 824 1.8× 41 0.2× 302 1.5× 77 0.5× 174 2.1k
Xin Zhu Japan 14 375 0.5× 218 0.5× 38 0.2× 53 0.3× 125 0.8× 58 827

Countries citing papers authored by Mohammad Ghamari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ghamari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ghamari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ghamari. A scholar is included among the top collaborators of Mohammad Ghamari 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 Ghamari. Mohammad Ghamari 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.
Alipour, Khalil, et al.. (2025). Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML. Scientific Reports. 15(1). 581–581. 11 indexed citations
2.
Tarvirdizadeh, Bahram, et al.. (2025). Cuff-less blood pressure monitoring via PPG signals using a hybrid CNN-BiLSTM deep learning model with attention mechanism. Scientific Reports. 15(1). 22229–22229. 3 indexed citations
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Tarvirdizadeh, Bahram, et al.. (2025). Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning. IET Wireless Sensor Systems. 15(1).
5.
Alipour, Khalil, et al.. (2024). Neural network models for predicting vascular age from PPG signals: A comparative study. IET Wireless Sensor Systems. 15(1).
6.
Rostami‐Hodjegan, Amin, et al.. (2024). LSTM‐based real‐time stress detection using PPG signals on raspberry Pi. IET Wireless Sensor Systems. 14(6). 333–347.
7.
Tarvirdizadeh, Bahram, et al.. (2024). Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals. Scientific Reports. 14(1). 22696–22696. 1 indexed citations
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Ghamari, Mohammad, et al.. (2023). An ultra-sensitive nano biosensor for 17 β -estradiol detection using carbon dots. Nano-Structures & Nano-Objects. 34. 100951–100951. 7 indexed citations
12.
Alipour, Khalil, et al.. (2023). Vascular Age Prediction with PPG-Based LSTM Model. 19. 1–6. 2 indexed citations
13.
Tarvirdizadeh, Bahram, et al.. (2023). Wavelet-Based Analysis of Photoplethysmogram for Stress Detection Using Convolutional Neural Networks. 501–506. 1 indexed citations
14.
Ghamari, Mohammad, et al.. (2022). Cuffless blood pressure estimation using chaotic features of photoplethysmograms and parallel convolutional neural network. Computer Methods and Programs in Biomedicine. 226. 107131–107131. 13 indexed citations
15.
Ghamari, Mohammad, et al.. (2022). Unmanned Aerial Vehicle Communications for Civil Applications: A Review. IEEE Access. 10. 102492–102531. 78 indexed citations
16.
Soltanpur, Cinna, et al.. (2019). Nonlinear MMSE Equalizer for Impulsive Noise Mitigation in OFDM-Based Communications. IEEE Signal Processing Letters. 26(7). 1016–1020. 9 indexed citations
17.
Ghamari, Mohammad. (2018). A review on wearable photoplethysmography sensors and their potential future applications in health care. PubMed. 4(4). 195–202. 660 indexed citations breakdown →
18.
Ghamari, Mohammad, et al.. (2016). Rapid Prototyping of a Smart Device-Based Wireless Reflectance Photoplethysmograph. PubMed. 2016. 175–176. 11 indexed citations
19.
Ghamari, Mohammad, Balazs Janko, R. Simon Sherratt, & William Harwin. (2014). Energy-efficient hybrid system for Wireless Body Area Network Applications. 3 indexed citations
20.
Ghamari, Mohammad, et al.. (2012). Improving transmission reliability of low-power medium access control protocols using average diversity combining. IET Wireless Sensor Systems. 2(4). 377–384. 5 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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