Ali Chaudhry

526 total citations · 1 hit paper
16 papers, 332 citations indexed

About

Ali Chaudhry is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Ali Chaudhry has authored 16 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Ali Chaudhry's work include Cardiac Imaging and Diagnostics (4 papers), Ultrasound in Clinical Applications (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ali Chaudhry is often cited by papers focused on Cardiac Imaging and Diagnostics (4 papers), Ultrasound in Clinical Applications (3 papers) and Video Surveillance and Tracking Methods (2 papers). Ali Chaudhry collaborates with scholars based in United States, Canada and Liechtenstein. Ali Chaudhry's co-authors include Ha Hong, James D. Thomas, Steven A. Goldstein, David Rubenson, Randolph P. Martin, Roberto M. Lang, Akhil Narang, Neil J. Weissman, Stephen H. Little and Richard Bae and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Cardiovascular Imaging and JAMA Cardiology.

In The Last Decade

Ali Chaudhry

13 papers receiving 323 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.

Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use

2021 233 citations Akhil Narang, Richard Bae et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Chaudhry United States	6	151	144	98	65	58	16	332
Sravani Gajjala United States	3	284 1.9×	329 2.3×	57 0.6×	70 1.1×	113 1.9×	7	575
Laura A. Hallock United States	4	287 1.9×	329 2.3×	57 0.6×	72 1.1×	113 1.9×	6	600
Marcus Schreckenberg United States	7	296 2.0×	413 2.9×	37 0.4×	90 1.4×	33 0.6×	14	525
Amir H. Abdi Canada	10	167 1.1×	127 0.9×	28 0.3×	21 0.3×	14 0.2×	23	392
Dingwen Li United States	8	42 0.3×	102 0.7×	19 0.2×	90 1.4×	62 1.1×	16	384
Hany Girgis Netherlands	9	144 1.0×	141 1.0×	24 0.2×	29 0.4×	9 0.2×	32	276
Andreas Østvik Norway	15	424 2.8×	431 3.0×	41 0.4×	68 1.0×	26 0.4×	35	663
Michael Weidenbach Germany	10	50 0.3×	94 0.7×	87 0.9×	144 2.2×	9 0.2×	38	342
Christina Luong Canada	13	232 1.5×	426 3.0×	52 0.5×	222 3.4×	65 1.1×	55	801
Dong Keon Lee South Korea	11	41 0.3×	54 0.4×	27 0.3×	99 1.5×	32 0.6×	39	331

Countries citing papers authored by Ali Chaudhry

Since Specialization

Citations

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

Fields of papers citing papers by Ali Chaudhry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Chaudhry

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

All Works

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16 of 16 papers shown

Chaudhry, Ali, et al.. (2024). Effect of vasopressin on brain and cardiac tissue during neonatal cardiopulmonary resuscitation of asphyxiated post-transitional piglets. Resuscitation Plus. 21. 100837–100837.

Chaudhry, Ali, et al.. (2023). A Case of Grave’s Thyrotoxicosis-Induced Takotsubo Cardiomyopathy Presenting with Cardiac Arrest After Winning the Lottery. Journal of Community Hospital Internal Medicine Perspectives. 13(5). 97–100.

Hong, Ha, et al.. (2021). AI-GUIDED ECHOCARDIOGRAPHY SYSTEM MATCHES THE IMAGE QUALITY ASSESSMENT ABILITY OF CARDIAC SONOGRAPHERS. Journal of the American College of Cardiology. 77(18). 3240–3240. 1 indexed citations

Asch, Federico M., Victor Mor‐Avi, David Rubenson, et al.. (2021). Deep Learning–Based Automated Echocardiographic Quantification of Left Ventricular Ejection Fraction: A Point-of-Care Solution. Circulation Cardiovascular Imaging. 14(6). e012293–e012293. 53 indexed citations

Narang, Akhil, Richard Bae, Ha Hong, et al.. (2021). Utility of a Deep-Learning Algorithm to Guide Novices to Acquire Echocardiograms for Limited Diagnostic Use. JAMA Cardiology. 6(6). 624–624. 233 indexed citations breakdown →

Narang, Akhil, Richard Bae, Ha Hong, et al.. (2020). ACQUISITION OF DIAGNOSTIC ECHOCARDIOGRAPHIC IMAGES BY NOVICES USING A DEEP LEARNING BASED IMAGE GUIDANCE ALGORITHM. Journal of the American College of Cardiology. 75(11). 1564–1564. 3 indexed citations

Pearlman, Alan S., Akhil Narang, Ha Hong, et al.. (2020). 547 Point-of-care cardiac assessment using machine learning to guide image acquisition. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 1 indexed citations

Chaudhry, Ali, et al.. (2019). INNOVATIVE ULTRASOUND TECHNOLOGIES ECHOGPS AND AUTOEF HELP NOVICES PERFORM EFFICIENT AND ACCURATE ECHOCARDIOGRAPHIC MONITORING IN CANCER PATIENTS. Journal of the American College of Cardiology. 73(9). 1502–1502. 1 indexed citations

Cody, Tyler, et al.. (2019). Transferring Random Samples in Actuator Systems for Binary Damage Detection. 1–7. 7 indexed citations

10.

Farinholt, Kevin, et al.. (2018). Developing Health Management Strategies Using Power Constrained Hardware. Annual Conference of the PHM Society. 10(1). 6 indexed citations

11.

Xu, Yanjun, et al.. (2018). Vehicle Detection and Classification in Aerial Imagery. 86–90. 13 indexed citations

12.

Chaudhry, Ali, et al.. (2017). An aerial change detection system using multiple detector fusion and adaboost classification. 2. 2637–2641. 1 indexed citations

13.

Zhu, Zhiwei, Vlad Branzoi, Mikhail Sizintsev, et al.. (2015). AR-Weapon: Live Augmented Reality Based First-Person Shooting System. 618–625. 7 indexed citations

14.

Chaudhry, Ali, et al.. (2014). Effective System for Automatic Bundle Block Adjustment and Ortho Image Generation from Multi Sensor Satellite Imagery. The international archives of the photogrammetry, remote sensing and spatial information sciences. XL-8. 1091–1094. 2 indexed citations

15.

Chaudhry, Ali, et al.. (2014). Unofficial and Official Exchange Rates Dynamics: A Case of Pakistan. 10. 135–153.

16.

Soibam, Benjamin, Shishir K. Shah, Ali Chaudhry, & Jayan Eledath. (2009). Quantitative comparison of metrics for change detection in video patrolling applications. 601–608. 4 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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