Jon D. Klingensmith

623 total citations
29 papers, 424 citations indexed

About

Jon D. Klingensmith is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jon D. Klingensmith has authored 29 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Surgery and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jon D. Klingensmith's work include Cardiac Imaging and Diagnostics (15 papers), Cardiovascular Disease and Adiposity (9 papers) and Coronary Interventions and Diagnostics (9 papers). Jon D. Klingensmith is often cited by papers focused on Cardiac Imaging and Diagnostics (15 papers), Cardiovascular Disease and Adiposity (9 papers) and Coronary Interventions and Diagnostics (9 papers). Jon D. Klingensmith collaborates with scholars based in United States and Spain. Jon D. Klingensmith's co-authors include D. Geoffrey Vince, Raj Shekhar, Steven E. Nissen, E. Murat Tuzcu, Paul Schoenhagen, Hiroshi Tsutsui, Barry D. Kuban, Timothy D. Crowe, Robert E. Hobbs and Khaled M. Ziada and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Jon D. Klingensmith

28 papers receiving 417 citations

Peers

Jon D. Klingensmith
E.Murat Tuzcu United States
Stefan Saur Switzerland
Lynn C. Huffman United States
David Molony United States
Retesh Bajaj United Kingdom
Shobhit Arya United Kingdom
Miao Chu China
Onno Wink United States
E.Murat Tuzcu United States
Jon D. Klingensmith
Citations per year, relative to Jon D. Klingensmith Jon D. Klingensmith (= 1×) peers E.Murat Tuzcu

Countries citing papers authored by Jon D. Klingensmith

Since Specialization
Citations

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

Fields of papers citing papers by Jon D. Klingensmith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon D. Klingensmith. 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 Jon D. Klingensmith. The network helps show where Jon D. Klingensmith may publish in the future.

Co-authorship network of co-authors of Jon D. Klingensmith

This figure shows the co-authorship network connecting the top 25 collaborators of Jon D. Klingensmith. A scholar is included among the top collaborators of Jon D. Klingensmith 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 Jon D. Klingensmith. Jon D. Klingensmith 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
3.
Smith, B., et al.. (2023). Vigorous-intensity exercise as a modulator of cardiac adipose tissue in women with obesity: a cross-sectional and randomized pilot study. Frontiers in Endocrinology. 14. 1104441–1104441. 1 indexed citations
4.
Woodard, Pamela K., et al.. (2023). Mapping adipose tissue in short-axis echocardiograms using spectral analysis. PubMed. 6. 1–4. 2 indexed citations
5.
Fernández-del-Valle, María, et al.. (2022). Comparison of two-dimensional and three-dimensional U-Net architectures for segmentation of adipose tissue in cardiac magnetic resonance images. Medical & Biological Engineering & Computing. 60(8). 2291–2306. 4 indexed citations
6.
Klingensmith, Jon D., et al.. (2019). Tissue classification in intercostal and paravertebral ultrasound using spectral analysis of radiofrequency backscatter. Journal of Medical Imaging. 6(4). 1–1. 3 indexed citations
7.
Fernández-del-Valle, María, et al.. (2018). Effects of resistance training on MRI-derived epicardial fat volume and arterial stiffness in women with obesity: a randomized pilot study. European Journal of Applied Physiology. 118(6). 1231–1240. 20 indexed citations
8.
Klingensmith, Jon D., et al.. (2018). Spectral Analysis of Ultrasound Radiofrequency Backscatter for the Detection of Intercostal Blood Vessels. Ultrasound in Medicine & Biology. 44(7). 1411–1422. 5 indexed citations
10.
Klingensmith, Jon D., Anuja Nair, Barry D. Kuban, & D. Geoffrey Vince. (2005). Segmentation of three-dimensional intravascular ultrasound images using spectral analysis and a dual active surface model. 3. 1765–1768. 11 indexed citations
11.
Nair, Anuja, Jon D. Klingensmith, & D. Geoffrey Vince. (2005). Real-time plaque characterization and visualization with spectral analysis of intravascular ultrasound data.. PubMed. 113. 300–20. 6 indexed citations
12.
Tsutsui, Hiroshi, Paul Schoenhagen, Khaled M. Ziada, et al.. (2003). Early constriction or expansion of the external elastic membrane area determines the late remodeling response and cumulative lumen loss in transplant vasculopathy: an intravascular ultrasound study with 4-year follow-up. The Journal of Heart and Lung Transplantation. 22(5). 519–525. 14 indexed citations
13.
Tsutsui, Hiroshi, Paul Schoenhagen, Timothy D. Crowe, et al.. (2003). Influence of coronary pulsation on volumetric intravascular ultrasound measurements performed without ECG-gating. Validation in vessel segments with minimal disease.. International journal of cardiac imaging. 19(1). 51–57. 7 indexed citations
14.
Klingensmith, Jon D., Paul Schoenhagen, Azita Tajaddini, et al.. (2003). Automated three-dimensional assessment of coronary artery anatomy with intravascular ultrasound scanning. American Heart Journal. 145(5). 795–805. 25 indexed citations
15.
Klingensmith, Jon D., E. Murat Tuzcu, Steven E. Nissen, & D. Geoffrey Vince. (2003). Validation of an automated system for luminal and medial-adventitial border detection in three-dimensional intravascular ultrasound. International journal of cardiac imaging. 19(2). 93–104. 8 indexed citations
16.
Schoenhagen, Paul, William A. Magyar, Samir Kapadia, et al.. (2002). Negative remodeling frequently occurs in mildly stenotic native coronary lesions and is unrelated to plaque size. Journal of the American College of Cardiology. 39. 246–246. 1 indexed citations
17.
Klingensmith, Jon D. & D. Geoffrey Vince. (2002). B-spline methods for interactive segmentation and modeling of lumen and vessel surfaces in three-dimensional intravascular ultrasound. Computerized Medical Imaging and Graphics. 26(6). 429–438. 13 indexed citations
18.
Klingensmith, Jon D., D. Geoffrey Vince, Barry D. Kuban, et al.. (2000). Assessment of coronary compensatory enlargement by three-dimensional intravascular ultrasound. International journal of cardiac imaging. 16(2). 87–98. 19 indexed citations
19.
Vince, D. Geoffrey, Raj Shekhar, & Jon D. Klingensmith. (2000). Evaluation of three-dimensional segmentation algorithms for the identification of luminal and medial-adventitial borders in intravascular ultrasound images. IEEE Transactions on Medical Imaging. 19(10). 996–1011. 101 indexed citations
20.
Veress, Alexander I., Peter M. Anderson, J. Fredrick Cornhill, et al.. (2000). Vascular mechanics of the coronary artery. Zeitschrift für Kardiologie. 89(14). S092–S100. 42 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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