Sardar Ansari

983 total citations · 1 hit paper
56 papers, 661 citations indexed

About

Sardar Ansari is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sardar Ansari has authored 56 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 22 papers in Biomedical Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sardar Ansari's work include Non-Invasive Vital Sign Monitoring (18 papers), ECG Monitoring and Analysis (15 papers) and Heart Rate Variability and Autonomic Control (13 papers). Sardar Ansari is often cited by papers focused on Non-Invasive Vital Sign Monitoring (18 papers), ECG Monitoring and Analysis (15 papers) and Heart Rate Variability and Autonomic Control (13 papers). Sardar Ansari collaborates with scholars based in United States, Spain and Sint Maarten. Sardar Ansari's co-authors include Kayvan Najarian, Kevin R. Ward, Hamid Ghanbari, Ashwin Belle, Michael W. Sjoding, Brahmajee K. Nallamothu, Matthew A. Reyna, Nadi Sadr, Andoni Elola and Salman Seyedi and has published in prestigious journals such as Circulation, PLoS ONE and Critical Care Medicine.

In The Last Decade

Sardar Ansari

53 papers receiving 645 citations

Hit Papers

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

Peers

Sardar Ansari
Daniel Guldenring United Kingdom
Dorothy J. Ladewig United States
Hamid Ghanbari United States
Micaela Morettini Italy
Agnese Sbrollini Italy
Evaggelos Karvounis Greece
Saeed Babaeizadeh United States
Morteza Zabihi Finland
Daniel Guldenring United Kingdom
Sardar Ansari
Citations per year, relative to Sardar Ansari Sardar Ansari (= 1×) peers Daniel Guldenring

Countries citing papers authored by Sardar Ansari

Since Specialization
Citations

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

Fields of papers citing papers by Sardar Ansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sardar Ansari

This figure shows the co-authorship network connecting the top 25 collaborators of Sardar Ansari. A scholar is included among the top collaborators of Sardar Ansari 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 Sardar Ansari. Sardar Ansari 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.
Ansari, Sardar, et al.. (2025). Study on the Effectiveness and Safety of Linezolid Dose Reduction in Multidrug-Resistant Tuberculosis. SSR Institute of International Journal of Life Sciences. 11(1). 6822–6832.
2.
Ansari, Sardar, et al.. (2025). Challenges in the Postmarket Surveillance of Clinical Prediction Models. NEJM AI. 2(5). 3 indexed citations
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Ansari, Sardar, et al.. (2023). Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome. npj Digital Medicine. 6(1). 62–62. 23 indexed citations
6.
Gillies, Christopher E., Andrew J. Admon, Richard P. Medlin, et al.. (2023). External Validation and Comparison of a General Ward Deterioration Index Between Diversely Different Health Systems. Critical Care Medicine. 51(6). 775–786. 10 indexed citations
7.
Sharma, Ruchi, Xiaheng Huang, Robert P. Dickson, et al.. (2023). Portable Breath-Based Volatile Organic Compound Monitoring for the Detection of COVID-19 During the Circulation of the SARS-CoV-2 Delta Variant and the Transition to the SARS-CoV-2 Omicron Variant. JAMA Network Open. 6(2). e230982–e230982. 20 indexed citations
8.
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
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Sjoding, Michael W., Sardar Ansari, & Thomas S. Valley. (2022). Origins of Racial and Ethnic Bias in Pulmonary Technologies. Annual Review of Medicine. 74(1). 401–412. 7 indexed citations
11.
Ansari, Sardar, Richard P. Medlin, Steven L. Kronick, et al.. (2021). Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR Medical Informatics. 9(4). e25066–e25066. 18 indexed citations
12.
Sjoding, Michael W., Elizabeth Lee, Ivan Co, et al.. (2021). Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation. The Lancet Digital Health. 3(6). e340–e348. 51 indexed citations
13.
Ansari, Sardar, Jessica R. Golbus, Mohamad Hakam Tiba, et al.. (2020). Detection of Low Cardiac Index Using a Polyvinylidene Fluoride-Based Wearable Ring and Convolutional Neural Networks. IEEE Sensors Journal. 21(13). 14281–14289. 3 indexed citations
14.
Gillies, Christopher E., et al.. (2020). Demonstrating the consequences of learning missingness patterns in early warning systems for preventative health care: A novel simulation and solution. Journal of Biomedical Informatics. 110. 103528–103528. 9 indexed citations
15.
Wang, Lu, Sardar Ansari, Kevin R. Ward, Kayvan Najarian, & Kenn R. Oldham. (2018). Identification of Compensatory Arterial Dynamics in Swine Using a Non-Invasive Sensor for Local Vascular Resistance. 1 indexed citations
16.
Ansari, Sardar, Marlena Duda, Hedvig Andersson, et al.. (2017). A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction Using Electrocardiogram and Electronic Health Records. IEEE Reviews in Biomedical Engineering. 10. 264–298. 86 indexed citations
17.
Ghanbari, Hamid, Sardar Ansari, Michael Ghannam, et al.. (2017). Feasibility and Usability of a Mobile Application to Assess Symptoms and Affect in Patients with Atrial Fibrillation: A Pilot Study. Journal of Atrial Fibrillation. 10(2). 1672–1672. 6 indexed citations
18.
Belle, Ashwin, Sardar Ansari, Maxwell Spadafore, et al.. (2016). A Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation. PLoS ONE. 11(2). e0148544–e0148544. 18 indexed citations
19.
Ghanbari, Hamid, Sardar Ansari, Krit Jongnarangsin, et al.. (2015). Role of adenosine after antral pulmonary vein isolation of paroxysmal atrial fibrillation: A randomized controlled trial. Heart Rhythm. 13(2). 407–415. 27 indexed citations
20.
Ansari, Sardar, Kevin R. Ward, & Kayvan Najarian. (2011). ε-tube regression: A new method for motion artifact reduction. PubMed. 42. 2736–2739. 3 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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