Rashid Alavi

531 total citations
34 papers, 453 citations indexed

About

Rashid Alavi is a scholar working on Cardiology and Cardiovascular Medicine, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Rashid Alavi has authored 34 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 7 papers in Mechanical Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Rashid Alavi's work include Cardiovascular Function and Risk Factors (10 papers), Cardiovascular Health and Disease Prevention (9 papers) and Cardiovascular Disease and Adiposity (6 papers). Rashid Alavi is often cited by papers focused on Cardiovascular Function and Risk Factors (10 papers), Cardiovascular Health and Disease Prevention (9 papers) and Cardiovascular Disease and Adiposity (6 papers). Rashid Alavi collaborates with scholars based in United States, Iran and Switzerland. Rashid Alavi's co-authors include Mehdi Rahmati, Mohammad Reza Tavakoli, Ahmad Sedaghat, Niema M. Pahlevan, Saeed Ziaei‐Rad, Wangde Dai, Robert A. Kloner, Arian Aghilinejad, Ray Matthews and Antreas Hindoyan and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Rashid Alavi

34 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashid Alavi United States 11 252 146 118 68 62 34 453
Nima Sedaghatizadeh Australia 10 92 0.4× 42 0.3× 44 0.4× 69 1.0× 74 1.2× 20 314
Koji Matsubara Japan 20 502 2.0× 289 2.0× 18 0.2× 56 0.8× 310 5.0× 82 901
Wafaa Karaki United States 10 313 1.2× 230 1.6× 4 0.0× 16 0.2× 57 0.9× 17 458
Ali Abbas Nejad Iran 11 181 0.7× 169 1.2× 21 0.2× 4 0.1× 54 0.9× 25 395
Mohamed Abdel Halim Egypt 10 238 0.9× 364 2.5× 20 0.2× 12 0.2× 111 1.8× 28 599
Seiyed E. Ghasemi Iran 13 459 1.8× 26 0.2× 11 0.1× 45 0.7× 519 8.4× 13 877
Seyyed Amirreza Abdollahi Iran 12 179 0.7× 64 0.4× 14 0.1× 5 0.1× 176 2.8× 45 449
Mohit Biglarian Iran 9 214 0.8× 32 0.2× 27 0.2× 5 0.1× 230 3.7× 13 380
N.J. Salman Ahmed Malaysia 16 432 1.7× 31 0.2× 112 0.9× 5 0.1× 429 6.9× 23 740
Jonathan Raush United States 14 432 1.7× 95 0.7× 9 0.1× 8 0.1× 44 0.7× 28 590

Countries citing papers authored by Rashid Alavi

Since Specialization
Citations

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

Fields of papers citing papers by Rashid Alavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Alavi

This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Alavi. A scholar is included among the top collaborators of Rashid Alavi 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 Rashid Alavi. Rashid Alavi 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.
Alavi, Rashid, Wangde Dai, Niema M. Pahlevan, et al.. (2025). Abstract TP371: Effects of Empagliflozin on Ischemic Stroke in a Rat Model: Time-Frequency Electroencephalogram Features and Cerebral Infarction Size. Stroke. 56(Suppl_1). 1 indexed citations
2.
Gorji, Hossein, et al.. (2025). Time-frequency machine learning transfer function for central pressure waveforms. European Heart Journal Open. 5(4). oeaf082–oeaf082. 2 indexed citations
3.
Alavi, Rashid, et al.. (2025). Assessment of left ventricular relaxation time constant using arterial pressure waveform. Physiological Measurement. 46(8). 85006–85006. 1 indexed citations
4.
Alavi, Rashid, et al.. (2025). INSTANTANEOUS DETECTION OF LEFT VENTRICULAR DIASTOLIC DYSFUNCTION FROM A SINGLE AORTIC PRESSURE WAVEFORM USING A PHYSICS-BASED MACHINE LEARNING APPROACH. Journal of the American College of Cardiology. 85(12). 1579–1579. 2 indexed citations
5.
Alavi, Rashid, Wangde Dai, Xianghong Arakaki, et al.. (2025). Abstract WP382: New Insights from Time-Frequency Analysis of Electroencephalogram throughout Ischemic Stroke in Rats. Stroke. 56(Suppl_1). 1 indexed citations
6.
Pahlevan, Niema M., et al.. (2024). Detecting elevated left ventricular end diastolic pressure from simultaneously measured femoral pressure waveform and electrocardiogram. Physiological Measurement. 45(8). 85005–85005. 3 indexed citations
7.
Zhou, Leon, et al.. (2024). Indirect Ballistic Injury Resulting in Non–ST-Segment Elevation Myocardial Infarction. JACC Case Reports. 30(1). 102752–102752. 1 indexed citations
8.
Alavi, Rashid, Wangde Dai, Rebecca J. Arechavala, et al.. (2024). Adverse Cardiovascular Effects of Nicotine Delivered by Chronic Electronic Cigarettes or Standard Cigarettes Captured by Cardiovascular Intrinsic Frequencies. Journal of the American Heart Association. 13(18). e035462–e035462. 7 indexed citations
9.
Alavi, Rashid, Wangde Dai, Ray Matthews, Robert A. Kloner, & Niema M. Pahlevan. (2023). Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats. European Heart Journal Open. 3(5). oead099–oead099. 5 indexed citations
10.
Alavi, Rashid, Qian Wang, Hossein Gorji, & Niema M. Pahlevan. (2023). A machine learning approach for computation of cardiovascular intrinsic frequencies. PLoS ONE. 18(10). e0285228–e0285228. 3 indexed citations
11.
Alavi, Rashid, et al.. (2023). Assessment of Aortic Characteristic Impedance and Arterial Compliance from Non-invasive Carotid Pressure Waveform in The Framingham Heart Study. The American Journal of Cardiology. 204. 195–199. 10 indexed citations
12.
Alavi, Rashid, Wangde Dai, Robert A. Kloner, & Niema M. Pahlevan. (2023). NONINVASIVE AND INSTANTANEOUS DETECTION OF MYOCARDIAL ISCHEMIA FROM A SINGLE CAROTID WAVEFORM USING A PHYSICS-BASED MACHINE LEARNING METHODOLOGY. Journal of the American College of Cardiology. 81(8). 4012–4012. 5 indexed citations
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Alavi, Rashid, et al.. (2021). Scalability of cardiovascular intrinsic frequencies: Validations in preclinical models and non-invasive clinical studies. Life Sciences. 284. 119880–119880. 11 indexed citations
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Alavi, Rashid, Wangde Dai, Robert A. Kloner, & Niema M. Pahlevan. (2020). Abstract 15899: A Hybrid Artificial Intelligence-Intrinsic Frequency Method for Instantaneous Determination of Myocardial Infarct Size. Circulation. 142(Suppl_3). 9 indexed citations
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19.
Alavi, Rashid, Wangde Dai, Robert A. Kloner, & Niema M. Pahlevan. (2019). Abstract 12573: A Hybrid Artificial Intelligence-Intrinsic Frequency Method for Instantaneous Detection of Acute Myocardial Infarction. Circulation. 1 indexed citations
20.
Alavi, Rashid, et al.. (2017). Fuzzy active vibration control of an orthotropic plate using piezoelectric actuators. 6. 207–212. 9 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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