Nadi Sadr

671 total citations · 1 hit paper
29 papers, 420 citations indexed

About

Nadi Sadr is a scholar working on Physiology, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Nadi Sadr has authored 29 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 16 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Nadi Sadr's work include Obstructive Sleep Apnea Research (17 papers), Non-Invasive Vital Sign Monitoring (16 papers) and EEG and Brain-Computer Interfaces (11 papers). Nadi Sadr is often cited by papers focused on Obstructive Sleep Apnea Research (17 papers), Non-Invasive Vital Sign Monitoring (16 papers) and EEG and Brain-Computer Interfaces (11 papers). Nadi Sadr collaborates with scholars based in Australia, United States and Spain. Nadi Sadr's co-authors include Philip de Chazal, Matthew A. Reyna, Ali Bahrami Rad, Annie Gu, Erick Andres Perez Alday, Gari D. Clifford, Andoni Elola, Ashish Sharma, Salman Seyedi and Chad Robichaux and has published in prestigious journals such as SHILAP Revista de lepidopterología, SLEEP and Physiological Measurement.

In The Last Decade

Nadi Sadr

29 papers receiving 413 citations

Hit Papers

Will Two Do? Varying Dimensions in Electrocardiography: T... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadi Sadr Australia 11 259 157 147 110 109 29 420
Beatriz F. Giraldo Spain 12 272 1.1× 86 0.5× 159 1.1× 61 0.6× 172 1.6× 96 508
Jong-Uk Park South Korea 11 141 0.5× 145 0.9× 205 1.4× 256 2.3× 56 0.5× 23 486
Violeta Monasterio Spain 11 340 1.3× 131 0.8× 139 0.9× 115 1.0× 20 0.2× 33 541
P. Várady Hungary 8 132 0.5× 65 0.4× 177 1.2× 125 1.1× 146 1.3× 16 424
John Morales Belgium 9 138 0.5× 63 0.4× 123 0.8× 44 0.4× 38 0.3× 26 268
John Gade Denmark 9 75 0.3× 200 1.3× 62 0.4× 72 0.7× 50 0.5× 20 417
Shayan Motamedi‐Fakhr United Kingdom 8 47 0.2× 156 1.0× 79 0.5× 64 0.6× 92 0.8× 10 301
Jérôme Foussier Germany 11 166 0.6× 218 1.4× 298 2.0× 99 0.9× 26 0.2× 23 442
K. Ju United States 8 122 0.5× 39 0.2× 50 0.3× 81 0.7× 37 0.3× 20 312

Countries citing papers authored by Nadi Sadr

Since Specialization
Citations

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

Fields of papers citing papers by Nadi Sadr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadi Sadr

This figure shows the co-authorship network connecting the top 25 collaborators of Nadi Sadr. A scholar is included among the top collaborators of Nadi Sadr 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 Nadi Sadr. Nadi Sadr 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.
Reyna, Matthew A., Yashar Kiarashi, Andoni Elola, et al.. (2023). Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022. SHILAP Revista de lepidopterología. 2(9). e0000324–e0000324. 41 indexed citations
2.
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
3.
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
4.
Kiarashi, Yashar, Andoni Elola, Jorge Oliveira, et al.. (2022). Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. Computing in cardiology. 49. 7 indexed citations
5.
Sutherland, Kate, Nadi Sadr, Yu Sun Bin, et al.. (2022). Comparative associations of oximetry patterns in Obstructive Sleep Apnea with incident cardiovascular disease. SLEEP. 45(12). 12 indexed citations
6.
Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2021). Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021. 1–4. 131 indexed citations breakdown →
7.
Chazal, Philip de, Nadi Sadr, Hasthi U. Dissanayake, et al.. (2021). Predicting Cardiovascular Outcomes Using the Respiratory Event Desaturation Transient Area Derived from Overnight Sleep Studies. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 5496–5499. 12 indexed citations
8.
Sadr, Nadi, Yu Sun Bin, Kate Sutherland, et al.. (2020). Is Cumulative Time of Oxygen Desaturation a Better Predictor of Cardiovascular Mortality than Apnoea Hypopnoea Index?. PubMed. 2020. 2788–2791. 2 indexed citations
9.
Sadr, Nadi, et al.. (2019). Automated Prediction of Sepsis Onset Using Gradient Boosted Decision Trees. Computing in Cardiology Conference. 1–4. 7 indexed citations
10.
Chazal, Philip de & Nadi Sadr. (2019). Automatic scoring of non-apnoea arousals using hand-crafted features from the polysomnogram. Physiological Measurement. 40(12). 124001–124001. 3 indexed citations
11.
Sadr, Nadi & Philip de Chazal. (2019). A comparison of three ECG-derived respiration methods for sleep apnoea detection. Biomedical Physics & Engineering Express. 5(2). 25027–25027. 16 indexed citations
12.
Sadr, Nadi & Philip de Chazal. (2018). Automatic Scoring of Non-Apnoea Arousals Using the Polysomnogram. Computing in cardiology. 45. 5 indexed citations
13.
Sadr, Nadi, et al.. (2018). A low-complexity algorithm for detection of atrial fibrillation using an ECG. Physiological Measurement. 39(6). 64003–64003. 23 indexed citations
14.
Sadr, Nadi, et al.. (2016). Reducing false arrhythmia alarms in the ICU using multimodal signals and robust QRS detection. Physiological Measurement. 37(8). 1340–1354. 13 indexed citations
15.
Sadr, Nadi, et al.. (2016). Apnoea:Hypopnoea Index Estimation using Craniofacial Photographic Measurements. Computing in cardiology. 6 indexed citations
16.
Sadr, Nadi & Philip de Chazal. (2016). Comparing ECG Derived Respiratory Signals and Chest Respiratory Signal for the Detection of Obstructive Sleep Apnoea. Computing in cardiology. 43. 4 indexed citations
17.
Sadr, Nadi & Philip de Chazal. (2016). A fast approximation method for principal component analysis applied to ECG derived respiration for OSA detection. PubMed. 2016. 6198–6201. 10 indexed citations
18.
Sadr, Nadi, et al.. (2015). Reducing false arrhythmia alarms in the ICU by Hilbert QRS detection. 1173–1176. 10 indexed citations
19.
Sadr, Nadi, Philip de Chazal, André van Schaik, & Paul P. Breen. (2015). Sleep apnoea episodes recognition by a committee of ELM classifiers from ECG signal. PubMed. 2015. 7675–7678. 4 indexed citations
20.
Sadr, Nadi & Philip de Chazal. (2014). Automated Detection of Obstructive Sleep Apnoea by Single-lead ECG through ELM Classification. Computing in Cardiology Conference. 909–912. 24 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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