Jonathan I. Sperl

1.8k total citations
46 papers, 1.2k citations indexed

About

Jonathan I. Sperl is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Jonathan I. Sperl has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Biomedical Engineering. Recurrent topics in Jonathan I. Sperl's work include Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and MRI in cancer diagnosis (9 papers). Jonathan I. Sperl is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and MRI in cancer diagnosis (9 papers). Jonathan I. Sperl collaborates with scholars based in Germany, United States and Switzerland. Jonathan I. Sperl's co-authors include Christoph Haisch, Mika W. Vogel, Reinhard Nießner, Marion I. Menzel, Philipp G. Sämann, Michael Czisch, Vladimir Golkov, Thomas Brox, Daniel Cremers and Alexey Dosovitskiy and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and Optics Express.

In The Last Decade

Jonathan I. Sperl

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan I. Sperl Germany	16	834	401	207	85	82	46	1.2k
Kyunghyun Sung United States	23	1.4k 1.7×	348 0.9×	510 2.5×	38 0.4×	34 0.4×	91	2.0k
Thomas Küstner Germany	23	1.1k 1.3×	287 0.7×	87 0.4×	105 1.2×	12 0.1×	68	1.4k
Kerstin Hammernik Germany	16	1.6k 1.9×	528 1.3×	62 0.3×	100 1.2×	28 0.3×	47	2.1k
Mary Bruno United States	17	704 0.8×	116 0.3×	97 0.5×	34 0.4×	61 0.7×	62	1.0k
Akihiro Haga Japan	15	558 0.7×	224 0.6×	153 0.7×	152 1.8×	9 0.1×	105	1.1k
Marco Nolden Germany	13	571 0.7×	317 0.8×	182 0.9×	87 1.0×	14 0.2×	30	1.1k
J. L. Herraiz Spain	21	1.0k 1.2×	497 1.2×	150 0.7×	417 4.9×	22 0.3×	102	1.3k
Erich Kobler Germany	9	1.0k 1.3×	302 0.8×	34 0.2×	67 0.8×	19 0.2×	19	1.3k
Kevin Wells United Kingdom	18	745 0.9×	398 1.0×	448 2.2×	252 3.0×	28 0.3×	150	1.3k
D S Brettle United Kingdom	19	446 0.5×	275 0.7×	267 1.3×	106 1.2×	13 0.2×	52	857

Countries citing papers authored by Jonathan I. Sperl

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan I. Sperl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan I. Sperl. 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 Jonathan I. Sperl. The network helps show where Jonathan I. Sperl may publish in the future.

Co-authorship network of co-authors of Jonathan I. Sperl

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

All Works

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20 of 20 papers shown

Fink, Nicola, Jonathan I. Sperl, Johannes Rueckel, et al.. (2025). Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT. European Radiology Experimental. 9(1). 48–48. 2 indexed citations

Sperl, Jonathan I., Tim Berger, Maximilian Kreibich, et al.. (2024). Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning. European Journal of Cardio-Thoracic Surgery. 65(6).

Schlett, Christopher L., Jonathan I. Sperl, Saikiran Rapaka, et al.. (2024). Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR. Diagnostics. 14(24). 2884–2884.

Klimeš, Filip, Jörg Barkhausen, Jonathan I. Sperl, et al.. (2024). Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial. Scientific Reports. 14(1). 2 indexed citations

Segeroth, Martin, Jonathan I. Sperl, Joshy Cyriac, et al.. (2023). Impact of retraining a deep learning algorithm for improving guideline-compliant aortic diameter measurements on non-gated chest CT. European Journal of Radiology. 168. 111093–111093. 4 indexed citations

Weikert, Thomas, Shan Yang, Jonathan I. Sperl, et al.. (2022). Automated quantification of airway wall thickness on chest CT using retina U-Nets – Performance evaluation and application to a large cohort of chest CTs of COPD patients. European Journal of Radiology. 155. 110460–110460. 8 indexed citations

Varga‐Szemes, Ákos, U. Joseph Schoepf, Ismail Kabakus, et al.. (2022). Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study. American Journal of Roentgenology. 219(5). 743–751. 31 indexed citations

Pradella, Maurice, Rita Achermann, Jonathan I. Sperl, et al.. (2022). Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort. Frontiers in Cardiovascular Medicine. 9. 972512–972512. 7 indexed citations

Rueckel, Johannes, Jonathan I. Sperl, Boj Hoppe, et al.. (2021). Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance. Quantitative Imaging in Medicine and Surgery. 11(6). 2486–2498. 16 indexed citations

10.

Kocher, Madison, Joseph Stephenson, Pooyan Sahbaee, et al.. (2021). Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value. BMC Medicine. 19(1). 55–55. 95 indexed citations

11.

Rueckel, Johannes, Paul Reidler, Nicola Fink, et al.. (2020). Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up. European Journal of Radiology. 134. 109424–109424. 33 indexed citations

12.

Coello, Eduardo, Jonathan I. Sperl, D. Bequé, et al.. (2017). Fourier domain image fusion for differential X-ray phase-contrast breast imaging. European Journal of Radiology. 89. 27–32. 7 indexed citations

13.

Gromann, Lukas B., D. Bequé, K. Scherer, et al.. (2016). Low-dose, phase-contrast mammography with high signal-to-noise ratio. Biomedical Optics Express. 7(2). 381–381. 15 indexed citations

14.

Young, Robert J., Ek T. Tan, Kyung K. Peck, et al.. (2016). Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses. Magnetic Resonance Imaging. 36. 24–31. 8 indexed citations

15.

Wolf, Johannes, Jonathan I. Sperl, Florian Schaff, et al.. (2015). Lens-term- and edge-effect in X-ray grating interferometry. Biomedical Optics Express. 6(12). 4812–4812. 11 indexed citations

16.

Wolf, Johannes, Andreas Malecki, Jonathan I. Sperl, et al.. (2014). Fast one-dimensional wave-front propagation for x-ray differential phase-contrast imaging. Biomedical Optics Express. 5(10). 3739–3739. 8 indexed citations

17.

Schulte, Rolf F., Jonathan I. Sperl, Eliane Weidl, et al.. (2012). Saturation‐recovery metabolic‐exchange rate imaging with hyperpolarized [1‐¹³C] pyruvate using spectral‐spatial excitation. Magnetic Resonance in Medicine. 69(5). 1209–1216. 71 indexed citations

18.

Menzel, Marion I., Ek T. Tan, Kedar Khare, et al.. (2011). Accelerated diffusion spectrum imaging in the human brain using compressed sensing. Magnetic Resonance in Medicine. 66(5). 1226–1233. 95 indexed citations

19.

Sperl, Jonathan I., et al.. (2010). Computer-Assisted Scan Protocol and Reconstruction (CASPAR)—Reduction of Image Noise and Patient Dose. IEEE Transactions on Medical Imaging. 29(3). 724–732. 33 indexed citations

20.

Sperl, Jonathan I., et al.. (2007). Acoustical properties of selected tissue phantom materials for ultrasound imaging. Physics in Medicine and Biology. 52(20). N475–N484. 263 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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