Charles R. Hatt

1.2k total citations
54 papers, 641 citations indexed

About

Charles R. Hatt is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Charles R. Hatt has authored 54 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Biomedical Engineering. Recurrent topics in Charles R. Hatt's work include Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers). Charles R. Hatt is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers). Charles R. Hatt collaborates with scholars based in United States, Netherlands and Japan. Charles R. Hatt's co-authors include Robert A. Shuchman, Anton Korosov, D. V. Pozdnyakov, Craig J. Galbán, MeiLan K. Han, Amish N. Raval, Ella A. Kazerooni, Susan Murray, Wassim W. Labaki and Jeffrey L. Curtis and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Charles R. Hatt

52 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles R. Hatt United States 14 326 143 97 88 70 54 641
Jiwoong Choi United States 15 553 1.7× 48 0.3× 53 0.5× 94 1.1× 16 0.2× 63 873
М. В. Волков Russia 10 21 0.1× 84 0.6× 144 1.5× 61 0.7× 17 0.2× 52 318
Alexandra H. Chau United States 9 105 0.3× 193 1.3× 228 2.4× 35 0.4× 70 1.0× 13 619
H. D. Van Liew United States 12 218 0.7× 22 0.2× 132 1.4× 64 0.7× 6 0.1× 33 427
Ulrike Rapp-Bernhardt Germany 13 331 1.0× 145 1.0× 74 0.8× 14 0.2× 4 0.1× 19 624
Thibaut Jacques France 12 65 0.2× 137 1.0× 55 0.6× 14 0.2× 113 1.6× 29 642
John Blackwell United States 11 68 0.2× 51 0.4× 107 1.1× 108 1.2× 23 0.3× 25 749
D. Delhaye France 13 185 0.6× 156 1.1× 75 0.8× 3 0.0× 23 536
R. Schmitt Germany 14 29 0.1× 114 0.8× 57 0.6× 40 0.5× 5 0.1× 50 716
Scott F. DeBoe United States 17 53 0.2× 405 2.8× 72 0.7× 14 0.2× 3 0.0× 35 894

Countries citing papers authored by Charles R. Hatt

Since Specialization
Citations

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

Fields of papers citing papers by Charles R. Hatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles R. Hatt. 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 Charles R. Hatt. The network helps show where Charles R. Hatt may publish in the future.

Co-authorship network of co-authors of Charles R. Hatt

This figure shows the co-authorship network connecting the top 25 collaborators of Charles R. Hatt. A scholar is included among the top collaborators of Charles R. Hatt 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 Charles R. Hatt. Charles R. Hatt 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.
Wang, Jennifer M., Ayodeji Adegunsoye, Janelle Vu Pugashetti, et al.. (2025). A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 211(10). 1785–1793. 1 indexed citations
2.
Adegunsoye, Ayodeji, Janelle Vu Pugashetti, Susan Murray, et al.. (2025). A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7682–A7682. 1 indexed citations
3.
4.
Ram, Sundaresh, Rohit Pal, April J. Bell, et al.. (2023). Dictionary Learning to Predict COPD Progression Using Topological PRM. A4717–A4717. 1 indexed citations
5.
Ram, Sundaresh, Charles R. Hatt, Marina Pasca di Magliano, et al.. (2023). Lung cancer lesion detection in histopathology images using graph‐based sparse PCA network. Neoplasia. 42. 100911–100911. 12 indexed citations
6.
Wang, Jennifer M., Sundaresh Ram, Wassim W. Labaki, et al.. (2023). Topologic Parametric Response Mapping Identifies Tissue Subtypes Associated with Emphysema Progression. Academic Radiology. 31(3). 1148–1159. 7 indexed citations
7.
Lu, Yanglong, et al.. (2023). Fully automated aortic measurements via CNN-based joint segmentation and localization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11597. 37–37. 1 indexed citations
8.
Wang, Jennifer M., Wassim W. Labaki, Susan Murray, et al.. (2023). Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICS. Frontiers in Physiology. 14. 1144192–1144192. 4 indexed citations
9.
Baker, Timothy J., et al.. (2023). Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network. Journal of Medical Imaging. 10(5). 51810–51810. 4 indexed citations
10.
Mummy, David, Kristine E. Lee, Loren C. Denlinger, et al.. (2023). Comparison of hyperpolarized 3He-MRI, CT based parametric response mapping, and mucus scores in asthmatics. Frontiers in Physiology. 14. 1178339–1178339. 7 indexed citations
11.
Hatt, Charles R., Andrea Oh, Nancy A. Obuchowski, et al.. (2021). Comparison of CT Lung Density Measurements between Standard Full-Dose and Reduced-Dose Protocols. Radiology Cardiothoracic Imaging. 3(2). e200503–e200503. 19 indexed citations
12.
Burris, Nicholas S., Theodorus M. J. van Bakel, Himanshu J. Patel, et al.. (2021). Vascular Deformation Mapping for CT Surveillance of Thoracic Aortic Aneurysm Growth. Radiology. 302(1). 218–225. 18 indexed citations
13.
Ram, Sundaresh, Benjamin A. Hoff, Stefanie Galbán, et al.. (2021). Improved detection of air trapping on expiratory computed tomography using deep learning. PLoS ONE. 16(3). e0248902–e0248902. 10 indexed citations
14.
Vasilescu, Dragoş M., Fernando J. Martínez, Nathaniel Marchetti, et al.. (2019). Noninvasive Imaging Biomarker Identifies Small Airway Damage in Severe Chronic Obstructive Pulmonary Disease. American Journal of Respiratory and Critical Care Medicine. 200(5). 575–581. 93 indexed citations
15.
Hatt, Charles R., Michael A. Speidel, & Amish N. Raval. (2016). Real-time pose estimation of devices from x-ray images: Application to x-ray/echo registration for cardiac interventions. Medical Image Analysis. 34. 101–108. 14 indexed citations
16.
Hatt, Charles R., et al.. (2016). A geometric calibration method for inverse geometry computed tomography using P-matrices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 978337–978337. 2 indexed citations
17.
Schmuck, Eric G., Timothy A. Hacker, Charles R. Hatt, et al.. (2015). Intravenous Followed by X-ray Fused with MRI-Guided Transendocardial Mesenchymal Stem Cell Injection Improves Contractility Reserve in a Swine Model of Myocardial Infarction. Journal of Cardiovascular Translational Research. 8(7). 438–448. 10 indexed citations
18.
Hatt, Charles R., et al.. (2014). Enhanced needle localization in ultrasound using beam steering and learning-based segmentation. Computerized Medical Imaging and Graphics. 41. 46–54. 47 indexed citations
19.
Hatt, Charles R., et al.. (2013). MRI—3D ultrasound—X-ray image fusion with electromagnetic tracking for transendocardial therapeutic injections: In-vitro validation and in-vivo feasibility. Computerized Medical Imaging and Graphics. 37(2). 162–173. 16 indexed citations
20.
Hatt, Charles R., et al.. (2010). REAL-TIME 3D ULTRASOUND TO MR IMAGE FUSION CAN GUIDE CATHETER-BASED CARDIAC PROCEDURES. Journal of the American College of Cardiology. 55(10). A76.E716–A76.E716. 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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2026