James V. Spearman

677 total citations
20 papers, 532 citations indexed

About

James V. Spearman is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, James V. Spearman has authored 20 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Surgery and 8 papers in Biomedical Engineering. Recurrent topics in James V. Spearman's work include Cardiac Imaging and Diagnostics (9 papers), Advanced X-ray and CT Imaging (8 papers) and Advanced MRI Techniques and Applications (7 papers). James V. Spearman is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Advanced X-ray and CT Imaging (8 papers) and Advanced MRI Techniques and Applications (7 papers). James V. Spearman collaborates with scholars based in United States, Germany and China. James V. Spearman's co-authors include U. Joseph Schoepf, Carlo N. De Cecco, Felix G. Meinel, Aleksander W. Krazinski, Matthias Renker, Justin R. Silverman, Long Jiang Zhang, Christian Canstein, Guangming Lu and Chang Sheng Zhou and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

James V. Spearman

20 papers receiving 524 citations

Peers

James V. Spearman
Aleksander W. Krazinski United States
Anselmo Alessandro Palumbo Italy
C Schmitz Germany
Andrew D. McQuiston United States
Joseph A. Abro United States
Edward O’Leary United States
Fran Mikulicic Switzerland
Guillaume Plourde Canada
Madeleine Kok Netherlands
M. Schmidt Germany
Aleksander W. Krazinski United States
James V. Spearman
Citations per year, relative to James V. Spearman James V. Spearman (= 1×) peers Aleksander W. Krazinski

Countries citing papers authored by James V. Spearman

Since Specialization
Citations

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

Fields of papers citing papers by James V. Spearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James V. Spearman. 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 James V. Spearman. The network helps show where James V. Spearman may publish in the future.

Co-authorship network of co-authors of James V. Spearman

This figure shows the co-authorship network connecting the top 25 collaborators of James V. Spearman. A scholar is included among the top collaborators of James V. Spearman 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 James V. Spearman. James V. Spearman 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.
Spearman, James V., et al.. (2017). Machine Learning in Cardiac CT. Current Radiology Reports. 5(10). 1 indexed citations
2.
Spearman, James V., Matthias Renker, U. Joseph Schoepf, et al.. (2015). Prognostic value of epicardial fat volume measurements by computed tomography: a systematic review of the literature. European Radiology. 25(11). 3372–3381. 61 indexed citations
3.
Bucher, Andreas, U. Joseph Schoepf, Aleksander W. Krazinski, et al.. (2015). Influence of technical parameters on epicardial fat volume quantification at cardiac CT. European Journal of Radiology. 84(6). 1062–1067. 18 indexed citations
4.
Spearman, James V., U. Joseph Schoepf, Marietta Rottenkolber, et al.. (2015). Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. Radiology. 279(1). 167–174. 39 indexed citations
5.
Wang, Rui, Felix G. Meinel, U. Joseph Schoepf, et al.. (2015). Performance of Automated Software in the Assessment of Segmental Left Ventricular Function in Cardiac CT: Comparison with Cardiac Magnetic Resonance. European Radiology. 25(12). 3560–3566. 10 indexed citations
6.
Wang, Rui, Xin Sui, U. Joseph Schoepf, et al.. (2015). Ultralow-Radiation-Dose Chest CT: Accuracy for Lung Densitometry and Emphysema Detection. American Journal of Roentgenology. 204(4). 743–749. 36 indexed citations
7.
Zhang, Long Jiang, Qi Li, Carlo N. De Cecco, et al.. (2014). High-Pitch Coronary CT Angiography at 70 kVp With Low Contrast Medium Volume. Medicine. 93(22). e92–e92. 30 indexed citations
8.
Morris, Pamela B., U. Joseph Schoepf, James V. Spearman, et al.. (2014). Transient Ischemic Dilation of the Left Ventricle on SPECT: Correlation with Findings at Coronary CT Angiography. Journal of Nuclear Medicine. 55(6). 917–922. 18 indexed citations
9.
Baumann, Stefan, Rui Wang, U. Joseph Schoepf, et al.. (2014). Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements – initial experience with a novel physician-driven algorithm. European Radiology. 25(4). 1201–1207. 58 indexed citations
10.
Baumann, Stefan, James V. Spearman, U. Joseph Schoepf, & Matthias Renker. (2014). Pectus excavatum as an unexpected cause for typical cardiologic signs revealed at imaging. European Heart Journal - Cardiovascular Imaging. 15(10). 1184–1184. 2 indexed citations
11.
Baumann, Stefan, Matthias Renker, James V. Spearman, et al.. (2014). Giant Left Ventricular Pseudoaneurysm as a Complication After Mitral Valve Replacement Surgery. The Annals of Thoracic Surgery. 98(4). 1480–1480. 3 indexed citations
12.
Secchi, Francesco, Carlo N. De Cecco, James V. Spearman, et al.. (2014). Monoenergetic extrapolation of cardiac dual energy CT for artifact reduction. Acta Radiologica. 56(4). 413–418. 60 indexed citations
13.
Meinel, Felix G., Thomas Henzler, U. Joseph Schoepf, et al.. (2014). ECG-Synchronized CT Angiography in 324 Consecutive Pediatric Patients: Spectrum of Indications and Trends in Radiation Dose. Pediatric Cardiology. 36(3). 569–578. 30 indexed citations
14.
Zhang, Long Jiang, Qi Li, Jing Wang, et al.. (2014). Feasibility of prospectively ECG-triggered high-pitch coronary CT angiography with 30 mL iodinated contrast agent at 70 kVp: initial experience. European Radiology. 24(7). 1537–1546. 53 indexed citations
15.
Bucher, Andreas, Carlo N. De Cecco, U. Joseph Schoepf, et al.. (2014). Cardiac CT for myocardial ischaemia detection and characterization—comparative analysis. British Journal of Radiology. 87(1043). 20140159–20140159. 9 indexed citations
16.
Li, Qi, Yane Zhao, Chang Sheng Zhou, et al.. (2014). Image quality and radiation dose of lower extremity CT angiography at 70 kVp on an integrated circuit detector dual-source computed tomography. Acta Radiologica. 56(6). 659–665. 16 indexed citations
17.
Bucher, Andreas, Carlo N. De Cecco, U. Joseph Schoepf, et al.. (2014). Is Contrast Medium Osmolality a Causal Factor for Contrast-Induced Nephropathy?. BioMed Research International. 2014. 1–8. 34 indexed citations
18.
Spearman, James V., Felix G. Meinel, U. Joseph Schoepf, et al.. (2013). Automated Quantification of Epicardial Adipose Tissue Using CT Angiography: Evaluation of a Prototype Software. European Radiology. 24(2). 519–526. 22 indexed citations
19.
Lü, Bin, Yang Gao, Zhihui Hou, et al.. (2013). Congenital anomalies of coronary arteries in complex congenital heart disease: Diagnosis and analysis with dual-source CT. Journal of cardiovascular computed tomography. 7(6). 383–390. 26 indexed citations
20.
Hayes, J. D., et al.. (2006). 2301. International Journal of Radiation Oncology*Biology*Physics. 66(3). S377–S378. 6 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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