Gaurav Satam

1.7k total citations · 2 hit papers
6 papers, 1.0k citations indexed

About

Gaurav Satam is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gaurav Satam has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 1 paper in Infectious Diseases and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Gaurav Satam's work include ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Gaurav Satam is often cited by papers focused on ECG Monitoring and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Gaurav Satam collaborates with scholars based in United States and Czechia. Gaurav Satam's co-authors include Zachi I. Attia, Samuel J. Asirvatham, Patricia A. Pellikka, Christopher G. Scott, Paul A. Friedman, Peter A. Noseworthy, Thomas M. Munger, Rickey E. Carter, Dorothy J. Ladewig and Suraj Kapa and has published in prestigious journals such as Circulation, Nature Medicine and Journal of the American College of Cardiology.

In The Last Decade

Gaurav Satam

6 papers receiving 1.0k 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.

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

2018 762 citations Zachi I. Attia, Suraj Kapa et al. Nature Medicine profile →
Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs

2019 264 citations Zachi I. Attia, Paul A. Friedman et al. Circulation Arrhythmia and Electrophysiology profile →

Peers

Gaurav Satam

CCM

RNMI

HI

PRM

CN

Dorothy J. Ladewig United States

Soo Youn Lee South Korea

Jessica Torres Soto United States

Jacqueline Baras Shreibati United States

Rak Kyeong Choi South Korea

Ziad Faramand United States

Laura A. Hallock United States

Sirish Shrestha United States

Zeineb Bouzid United States

Min Jeong Kim South Korea

Dorothy J. Ladewig United States

Gaurav Satam

1.1k ×1.4

CCM

206 ×1.1

RNMI

152 ×1.1

HI

191 ×1.4

PRM

140 ×1.1

CN

Citations per year, relative to Gaurav Satam Gaurav Satam (= 1×) peers Dorothy J. Ladewig

Countries citing papers authored by Gaurav Satam

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Satam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Satam

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

All Works

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6 of 6 papers shown

1.

Kapa, Suraj, Peter A. Noseworthy, Meir Tabi, et al.. (2020). TRASTUZUMAB CARDIOTOXICITY SURVEILLANCE BY ARTIFICIAL INTELLIGENCE-AUGMENTED ELECTROCARDIOGRAPHY IN A MULTI SITE STUDY. Journal of the American College of Cardiology. 75(11). 916–916. 1 indexed citations

2.

Attia, Zachi I., Jennifer Dugan, John Maidens, et al.. (2019). Abstract 13447: Prospective Analysis of Utility of Signals From an Ecg-Enabled Stethoscope to Automatically Detect a Low Ejection Fraction Using Neural Network Techniques Trained From the Standard 12-Lead Ecg. Circulation. 1 indexed citations

3.

Attia, Zachi I., Paul A. Friedman, Peter A. Noseworthy, et al.. (2019). Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs. Circulation Arrhythmia and Electrophysiology. 12(9). e007284–e007284. 264 indexed citations breakdown →

4.

Attia, Zachi I., Suraj Kapa, Francisco López-Jiménez, et al.. (2018). Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram. Nature Medicine. 25(1). 70–74. 762 indexed citations breakdown →

5.

Killu, Ammar M., Niyada Naksuk, Faisal F. Syed, et al.. (2018). Feasibility of directional percutaneous epicardial ablation with a partially insulated catheter. Journal of Interventional Cardiac Electrophysiology. 53(1). 105–113. 3 indexed citations

6.

Kapa, Suraj, Francisco López-Jiménez, Paul M. McKie, et al.. (2018). APPLICATION OF ARTIFICIAL INTELLIGENCE TO THE STANDARD 12 LEAD ECG TO IDENTIFY PEOPLE WITH LEFT VENTRICULAR DYSFUNCTION. Journal of the American College of Cardiology. 71(11). A306–A306. 1 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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