Madeline Jankowski

481 total citations
9 papers, 213 citations indexed

About

Madeline Jankowski is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Madeline Jankowski has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Madeline Jankowski's work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). Madeline Jankowski is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). Madeline Jankowski collaborates with scholars based in United States, Australia and Italy. Madeline Jankowski's co-authors include Theodore P. Abraham, Ha Hong, Federico M. Asch, Roberto M. Lang, Randolph P. Martin, Michael Adams, Victor Mor‐Avi, Jane E. Marshall, David B. Adams and Kenneth Horton and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Madeline Jankowski

8 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Madeline Jankowski United States	5	123	118	39	35	34	9	213
Maryam Alsharqi United Kingdom	7	141 1.1×	110 0.9×	17 0.4×	28 0.8×	24 0.7×	15	240
Ivar Mjåland Salte Norway	7	187 1.5×	186 1.6×	20 0.5×	25 0.7×	45 1.3×	14	257
Grant Duffy United States	8	189 1.5×	156 1.3×	26 0.7×	40 1.1×	33 1.0×	14	331
Thuy Mi Nguyen Norway	7	166 1.3×	156 1.3×	18 0.5×	27 0.8×	33 1.0×	9	256
Chadi Ayoub United States	7	109 0.9×	105 0.9×	11 0.3×	70 2.0×	36 1.1×	40	221
Gregory Holste United States	10	82 0.7×	139 1.2×	15 0.4×	19 0.5×	23 0.7×	21	257
Krit Dwivedi United Kingdom	13	108 0.9×	87 0.7×	22 0.6×	36 1.0×	38 1.1×	31	333
Anna Degiovanni Italy	10	302 2.5×	145 1.2×	8 0.2×	48 1.4×	26 0.8×	36	370
Sigve Karlsen Norway	5	276 2.2×	192 1.6×	24 0.6×	65 1.9×	29 0.9×	7	330
Sarah Leclerc France	10	143 1.2×	179 1.5×	11 0.3×	20 0.6×	50 1.5×	21	286

Countries citing papers authored by Madeline Jankowski

Since Specialization

Citations

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

Fields of papers citing papers by Madeline Jankowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madeline Jankowski

This figure shows the co-authorship network connecting the top 25 collaborators of Madeline Jankowski. A scholar is included among the top collaborators of Madeline Jankowski 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 Madeline Jankowski. Madeline Jankowski 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:

9 of 9 papers shown

Bailitz, John, Ravi Agarwala, Madeline Jankowski, et al.. (2025). Artificial Intelligence–Guided Lung Ultrasound by Nonexperts. JAMA Cardiology. 10(3). 245–245. 9 indexed citations

Jankowski, Madeline, Emily Cerier, Anthony M. Joudi, et al.. (2024). Right Heart Recovery Post Lung Transplant With COVID‐19‐Related Acute Respiratory Distress Syndrome. SHILAP Revista de lepidopterología. 2024(1). 8483800–8483800.

Jankowski, Madeline, et al.. (2024). Unmasking HFpEF With Artificial Intelligence: A Disruptive Opportunity for Disease Detection. Journal of Cardiac Failure. 30(11). 1533–1534. 2 indexed citations

Narang, Akhil, Sarah L. Hale, Susan Lehrer, et al.. (2024). Novel echocardiographic pixel intensity quantification method for differentiating transthyretin cardiac amyloidosis from light chain cardiac amyloidosis and other phenocopies. European Heart Journal - Cardiovascular Imaging. 25(11). 1601–1611. 4 indexed citations

Bavishi, Aakash, et al.. (2023). Predictive Value of Relative Apical Sparing of Longitudinal Strain on Echocardiography for Cardiac Amyloidosis. The American Journal of Cardiology. 200. 66–71. 1 indexed citations

Mitchell, Carol, Madeline Jankowski, John D. Symanski, et al.. (2023). A Practical Approach to Echocardiographic Imaging in Patients With Hypertrophic Cardiomyopathy. Journal of the American Society of Echocardiography. 36(9). 913–932. 8 indexed citations

Horton, Kenneth, et al.. (2020). Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers. Journal of the American Society of Echocardiography. 33(9). 1061–1066. 59 indexed citations

Asch, Federico M., et al.. (2019). ACCURACY AND REPRODUCIBILITY OF A NOVEL ARTIFICIAL INTELLIGENCE DEEP LEARNING-BASED ALGORITHM FOR AUTOMATED CALCULATION OF EJECTION FRACTION IN ECHOCARDIOGRAPHY. Journal of the American College of Cardiology. 73(9). 1447–1447. 8 indexed citations

Asch, Federico M., Theodore P. Abraham, Madeline Jankowski, et al.. (2019). Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction Without Volume Measurements Using a Machine Learning Algorithm Mimicking a Human Expert. Circulation Cardiovascular Imaging. 12(9). e009303–e009303. 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.

Explore authors with similar magnitude of impact