Reza Sameni

4.4k total citations · 1 hit paper
88 papers, 2.2k citations indexed

About

Reza Sameni is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Reza Sameni has authored 88 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cardiology and Cardiovascular Medicine, 29 papers in Cognitive Neuroscience and 29 papers in Signal Processing. Recurrent topics in Reza Sameni's work include ECG Monitoring and Analysis (41 papers), EEG and Brain-Computer Interfaces (29 papers) and Blind Source Separation Techniques (27 papers). Reza Sameni is often cited by papers focused on ECG Monitoring and Analysis (41 papers), EEG and Brain-Computer Interfaces (29 papers) and Blind Source Separation Techniques (27 papers). Reza Sameni collaborates with scholars based in Iran, United States and France. Reza Sameni's co-authors include Mohammad Bagher Shamsollahi, Gari D. Clifford, Christian Jutten, Christian Jutten, Arman Kheirati Roonizi, Shamim Nemati, Julien Oster, Joachim A. Behar, Tingting Zhu and Ikaro Silva and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Reza Sameni

77 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification

2021 119 citations Jorge Oliveira, Francesco Renna et al. IEEE Journal of Biomedical and Health Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reza Sameni Iran	20	1.6k	828	777	643	558	88	2.2k
Joachim A. Behar Israel	28	2.0k 1.3×	944 1.1×	569 0.7×	999 1.6×	454 0.8×	96	2.9k
Ikaro Silva United States	19	1.3k 0.8×	692 0.8×	375 0.5×	573 0.9×	443 0.8×	28	2.1k
Guy Carrault France	25	1.1k 0.7×	558 0.7×	214 0.3×	703 1.1×	207 0.4×	174	2.1k
Mohammad Bagher Shamsollahi Iran	25	1.7k 1.1×	1.4k 1.6×	795 1.0×	916 1.4×	311 0.6×	132	2.7k
Janusz Jeżewski Poland	25	1.0k 0.6×	377 0.5×	435 0.6×	655 1.0×	540 1.0×	103	1.7k
H. Nazeran United States	25	760 0.5×	654 0.8×	343 0.4×	872 1.4×	348 0.6×	108	2.0k
Vidya K. Sudarshan Singapore	25	1.2k 0.8×	1.1k 1.4×	255 0.3×	439 0.7×	237 0.4×	49	2.5k
Fernando Andreotti United Kingdom	16	733 0.5×	1.2k 1.4×	465 0.6×	412 0.6×	166 0.3×	27	1.9k
Sebastian Zaunseder Germany	20	1.2k 0.7×	527 0.6×	295 0.4×	799 1.2×	219 0.4×	78	1.8k
Radana Kahánková Czechia	19	686 0.4×	320 0.4×	318 0.4×	422 0.7×	253 0.5×	83	1.2k

Countries citing papers authored by Reza Sameni

Since Specialization

Citations

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

Fields of papers citing papers by Reza Sameni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Sameni

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

Rogers, Albert J., Neal K. Bhatia, Sabyasachi Bandyopadhyay, et al.. (2025). Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram. npj Digital Medicine. 8(1). 21–21. 2 indexed citations

Rafiei, Alireza, et al.. (2025). Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis. IEEE Transactions on Biomedical Engineering. 73(1). 472–483.

Qiao, Li, et al.. (2024). A comparison of QT algorithms on a South African population using a mobile ECG. Journal of Electrocardiology. 84. 23–23.

Reyna, Matthew A., Salman Seyedi, Andoni Elola, et al.. (2024). Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024. Computing in cardiology. 51.

Clifford, Gari D., et al.. (2024). ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization. Physiological Measurement. 45(5). 55019–55019. 6 indexed citations

Amiri, Hossein, et al.. (2024). Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep–Wake Stage Classification. Sensors. 24(24). 7881–7881. 2 indexed citations

Miller, Ann C., et al.. (2024). Mobil Monitoring Doppler Ultrasound (MoMDUS) study: protocol for a prospective, observational study investigating the use of artificial intelligence and low-cost Doppler ultrasound for the automated quantification of hypertension, pre-eclampsia and fetal growth restriction in rural Guatemala. BMJ Open. 14(9). e090503–e090503. 1 indexed citations

Tripathi, Richa, Stewart A. Factor, Hyeokhyen Kwon, et al.. (2024). Development of a Tremor Detection Algorithm for Use in an Academic Movement Disorders Center. Sensors. 24(15). 4960–4960. 1 indexed citations

Rad, Ali Bahrami, et al.. (2024). A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs. Sensors. 24(17). 5708–5708. 2 indexed citations

10.

Reyna, Matthew A., et al.. (2024). A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias. Sensors. 24(6). 1730–1730. 3 indexed citations

11.

Reyna, Matthew A., Edilberto Amorim, Reza Sameni, et al.. (2023). Predicting Neurological Recovery from Coma after Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. Computing in cardiology. 50. 4 indexed citations

12.

Elola, Andoni, Elisabete Aramendi, Jorge Oliveira, et al.. (2023). Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram. IEEE Journal of Biomedical and Health Informatics. 27(8). 3856–3866. 13 indexed citations

13.

Rad, Ali Bahrami, et al.. (2022). Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment. IEEE Journal of Selected Topics in Signal Processing. 16(2). 289–299. 3 indexed citations

14.

Alday, Erick Andres Perez, Ali Bahrami Rad, Matthew A. Reyna, et al.. (2022). Age, sex and race bias in automated arrhythmia detectors. Journal of Electrocardiology. 74. 5–9. 7 indexed citations

15.

Oliveira, Jorge, Francesco Renna, Paulo Dias Costa, et al.. (2021). The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification. IEEE Journal of Biomedical and Health Informatics. 26(6). 2524–2535. 119 indexed citations breakdown →

16.

Sameni, Reza. (2021). Model-based Prediction and Optimal Control of Pandemics by Non-pharmaceutical Interventions. arXiv (Cornell University). 2 indexed citations

17.

Tumbarello, Roberto, et al.. (2021). A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research. Scientific Data. 8(1). 30–30. 15 indexed citations

18.

Haghpanahi, Masoumeh, et al.. (2013). Fetal QRS complex detection using semi-blind source separation framework. Computing in Cardiology Conference. 181–184. 6 indexed citations

19.

Niknazar, Mohammad, et al.. (2013). A robust framework for noninvasive extraction of fetal electrocardiogram signals. Computing in Cardiology Conference. 201–204. 8 indexed citations

20.

Sameni, Reza, et al.. (2012). A general framework for extracting fetal magnetoencephalogram and audio-evoked responses. Journal of Neuroscience Methods. 212(2). 283–296. 2 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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