Ali Bahrami Rad

2.3k total citations · 3 hit papers
52 papers, 1.4k citations indexed

About

Ali Bahrami Rad is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Emergency Medicine. According to data from OpenAlex, Ali Bahrami Rad has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 14 papers in Cognitive Neuroscience and 14 papers in Emergency Medicine. Recurrent topics in Ali Bahrami Rad's work include ECG Monitoring and Analysis (18 papers), Heart Rate Variability and Autonomic Control (15 papers) and Cardiac Arrest and Resuscitation (14 papers). Ali Bahrami Rad is often cited by papers focused on ECG Monitoring and Analysis (18 papers), Heart Rate Variability and Autonomic Control (15 papers) and Cardiac Arrest and Resuscitation (14 papers). Ali Bahrami Rad collaborates with scholars based in United States, Spain and Finland. Ali Bahrami Rad's co-authors include Aggelos K. Katsaggelos, Morteza Zabihi, Moncef Gabbouj, Serkan Kıranyaz, Gari D. Clifford, Andoni Elola, Salman Seyedi, Matthew A. Reyna, Erick Andres Perez Alday and Annie Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Ali Bahrami Rad

49 papers receiving 1.4k citations

Hit Papers

3 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.

Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

2020 294 citations Erick Andres Perez Alday, Annie Gu et al. Physiological Measurement profile →
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

2021 131 citations Matthew A. Reyna, Nadi Sadr et al. profile →
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
Ali Bahrami Rad United States	16	914	543	482	196	179	52	1.4k
Qiao Li China	12	1.3k 1.5×	664 1.2×	283 0.6×	410 2.1×	102 0.6×	30	1.7k
Masoumeh Haghpanahi United States	7	1.3k 1.4×	642 1.2×	300 0.6×	380 1.9×	62 0.3×	10	1.9k
J.J. Rieta Spain	26	2.1k 2.2×	641 1.2×	91 0.2×	287 1.5×	340 1.9×	167	2.4k
Ikaro Silva United States	19	1.3k 1.4×	692 1.3×	443 0.9×	573 2.9×	375 2.1×	28	2.1k
Irena Jekova Bulgaria	21	1.1k 1.3×	665 1.2×	174 0.4×	496 2.5×	89 0.5×	84	1.3k
Ivaylo Christov Bulgaria	24	1.8k 2.0×	974 1.8×	269 0.6×	842 4.3×	229 1.3×	88	2.1k
Morteza Zabihi Finland	11	316 0.3×	314 0.6×	148 0.3×	54 0.3×	205 1.1×	21	663
Vessela Krasteva Bulgaria	21	961 1.1×	507 0.9×	131 0.3×	493 2.5×	55 0.3×	93	1.2k
Montserrat Vallverdú Spain	20	761 0.8×	450 0.8×	76 0.2×	281 1.4×	99 0.6×	112	1.4k
Erick Andres Perez Alday United States	13	731 0.8×	308 0.6×	205 0.4×	118 0.6×	29 0.2×	43	905

Countries citing papers authored by Ali Bahrami Rad

Since Specialization

Citations

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

Fields of papers citing papers by Ali Bahrami Rad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Bahrami Rad. 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 Ali Bahrami Rad. The network helps show where Ali Bahrami Rad may publish in the future.

Co-authorship network of co-authors of Ali Bahrami Rad

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Bahrami Rad. A scholar is included among the top collaborators of Ali Bahrami Rad 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 Ali Bahrami Rad. Ali Bahrami Rad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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.

Jiang, Zifan, Salman Seyedi, Ahmed Abbasi, et al.. (2024). Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. IEEE Journal of Biomedical and Health Informatics. 28(3). 1680–1691. 17 indexed citations

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.

Kiarashi, Yashar, et al.. (2024). Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. IEEE Journal of Biomedical and Health Informatics. 28(11). 6886–6896. 3 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

Shah, Amit, J. Douglas Bremner, Viola Vaccarino, et al.. (2023). Impedance cardiogram based exploration of cardiac mechanisms in post‐traumatic stress disorder during trauma recall. Psychophysiology. 61(4). e14488–e14488. 3 indexed citations

Seyedi, Salman, et al.. (2023). A comparison of linguistic patterns between individuals with current major depressive disorder, past major depressive disorder, and controls in a virtual, psychiatric research interview. Journal of Affective Disorders Reports. 14. 100645–100645. 7 indexed citations

Eftestøl, Trygve, et al.. (2023). A Convolutional Neural Network Approach for Interpreting Cardiac Rhythms During Resuscitation of Patients in Cardiac Arrest. Computing in cardiology. 1 indexed citations

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

10.

Seyedi, Salman, Zifan Jiang, Ali Bahrami Rad, et al.. (2023). Using HIPAA (Health Insurance Portability and Accountability Act)–Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study. JMIR Mental Health. 10. e48517–e48517. 10 indexed citations

11.

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

12.

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

13.

Cotes, Robert O., et al.. (2022). Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study. JMIR Research Protocols. 11(7). e36417–e36417. 11 indexed citations

14.

Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2022). Issues in the automated classification of multilead ecgs using heterogeneous labels and populations. Physiological Measurement. 43(8). 84001–84001. 26 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.

Alday, Erick Andres Perez, Annie Gu, Amit Shah, et al.. (2020). Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiological Measurement. 41(12). 124003–124003. 294 indexed citations breakdown →

17.

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

18.

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

19.

Friedburg, Christoph, Hakan Akintuerk, Saskia Biskup, et al.. (2017). Two patients with the heterozygous R189H mutation in ACTA2 and Complex congenital heart defects expands the cardiac phenotype of multisystemic smooth muscle dysfunction syndrome. American Journal of Medical Genetics Part A. 173(4). 959–965. 6 indexed citations

20.

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

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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