Caroline Wilpert

488 total citations
18 papers, 282 citations indexed

About

Caroline Wilpert is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Caroline Wilpert has authored 18 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 4 papers in Surgery. Recurrent topics in Caroline Wilpert's work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (4 papers). Caroline Wilpert is often cited by papers focused on MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (4 papers). Caroline Wilpert collaborates with scholars based in Germany, Austria and United States. Caroline Wilpert's co-authors include Leila Chaieb, Juergen Fell, Thomas P. Reber, Fabian Bamberg, Marco Reisert, Alexander Rau, Jakob Neubauer, Maximilian Frederik Russe, Anna Maria Fink and Hien Tran and has published in prestigious journals such as Radiology, Expert Systems with Applications and Frontiers in Human Neuroscience.

In The Last Decade

Caroline Wilpert

15 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Wilpert Germany 7 100 91 79 40 40 18 282
Katherine E. Link United States 6 101 1.0× 34 0.4× 23 0.3× 36 0.9× 59 1.5× 9 265
Paul Rinne United Kingdom 8 51 0.5× 100 1.1× 14 0.2× 18 0.5× 25 0.6× 10 375
Kiret Dhindsa Canada 11 55 0.6× 140 1.5× 16 0.2× 6 0.1× 12 0.3× 22 347
Careesa C. Liu Canada 13 49 0.5× 210 2.3× 9 0.1× 17 0.4× 21 0.5× 21 407
Darlene King United States 10 109 1.1× 16 0.2× 16 0.2× 22 0.6× 14 0.3× 16 310
Markus Wu United States 9 179 1.8× 160 1.8× 25 0.3× 3 0.1× 13 0.3× 28 444
Joselisa Péres Queiroz de Paiva Brazil 8 69 0.7× 70 0.8× 10 0.1× 23 0.6× 13 0.3× 19 191
Pamela DeYoung United States 15 52 0.5× 211 2.3× 11 0.1× 7 0.2× 13 0.3× 47 737
Todd Levy United States 8 44 0.4× 74 0.8× 18 0.2× 4 0.1× 28 0.7× 16 319
Andrea Frosolini Italy 12 39 0.4× 48 0.5× 61 0.8× 5 0.1× 21 0.5× 42 338

Countries citing papers authored by Caroline Wilpert

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Wilpert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Wilpert

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

All Works

18 of 18 papers shown
1.
Russe, Maximilian Frederik, Marco Reisert, Anna Maria Fink, et al.. (2025). In-context learning enables large language models to achieve human-level performance in spinal instability neoplastic score classification from synthetic CT and MRI reports. La radiologia medica. 130(12). 2073–2080.
3.
Wilpert, Caroline, Maximilian Frederik Russe, Jakob Weiß, et al.. (2025). Deep Learning Reconstruction Combined With Conventional Acceleration Improves Image Quality of 3 T Brain MRI and Does Not Impact Quantitative Diffusion Metrics. Investigative Radiology. 60(8). 526–534.
4.
Wilpert, Caroline, Hannah Schneider, Alexander Rau, et al.. (2025). Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study. Korean Journal of Radiology. 26(1). 29–29. 1 indexed citations
5.
Stein, Thomas, Alexander Rau, Caroline Wilpert, et al.. (2025). Simple cystic lesions of the pancreas: image quality and diagnostic accuracy of photon-counting detector computed tomography. La radiologia medica. 130(7). 1064–1073. 1 indexed citations
6.
Wenkel, Evelyn, Eva Maria Fallenberg, Natascha Platz Batista da Silva, et al.. (2024). Recommendations of the German Radiological Society’s breast imaging working group regarding breast MRI. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(9). 939–944. 1 indexed citations
7.
Wilpert, Caroline, et al.. (2024). Dedicated Photon-Counting CT for Detection and Classification of Microcalcifications. Investigative Radiology. 59(12). 838–844. 2 indexed citations
8.
Wilpert, Caroline, et al.. (2024). Photon-counting CT of degenerative changes and rupture of silicone breast implants: a pilot study. European Radiology Experimental. 8(1). 36–36.
9.
Wilpert, Caroline, Evelyn Wenkel, Pascal Baltzer, et al.. (2024). Vaccine-associated axillary lymphadenopathy with a focus on COVID-19 vaccines. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 197(3). 288–297. 1 indexed citations
10.
Wiedemann, Simon, Caroline Wilpert, Ralph Strecker, et al.. (2024). Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality. European Journal of Radiology. 178. 111633–111633. 3 indexed citations
11.
Egger, Jan, Andrea Bönsch, Joep Kraeima, et al.. (2023). Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence. Expert Systems with Applications. 239. 122275–122275. 9 indexed citations
12.
Rau, Alexander, Anna Maria Fink, Hien Tran, et al.. (2023). A Context-based Chatbot Surpasses Radiologists and Generic ChatGPT in Following the ACR Appropriateness Guidelines. Radiology. 308(1). e230970–e230970. 92 indexed citations
13.
Neubauer, Jakob, Caroline Wilpert, Florin‐Andrei Taran, et al.. (2023). Diagnostic Accuracy of Contrast-Enhanced Thoracic Photon-Counting Computed Tomography for Opportunistic Locoregional Staging of Breast Cancer Compared With Digital Mammography. Investigative Radiology. 59(7). 489–494. 6 indexed citations
14.
Wilpert, Caroline, Alexander Rau, Hannah Schneider, et al.. (2023). Accelerated Diffusion-Weighted Imaging in 3 T Breast MRI Using a Deep Learning Reconstruction Algorithm With Superresolution Processing. Investigative Radiology. 58(12). 842–852. 18 indexed citations
15.
Truhn, Daniel, et al.. (2022). Background parenchymal enhancement in contrast-enhanced MR imaging suggests systemic effects of intrauterine contraceptive devices. European Radiology. 32(11). 7430–7438. 8 indexed citations
16.
Bönsch, Andrea, Mark Ooms, Caroline Wilpert, et al.. (2022). Advantages of a Training Course for Surgical Planning in Virtual Reality for Oral and Maxillofacial Surgery: Crossover Study. JMIR Serious Games. 11. e40541–e40541. 19 indexed citations
17.
Chaieb, Leila, Caroline Wilpert, Christian Hoppe, Nikolai Axmacher, & Juergen Fell. (2017). The Impact of Monaural Beat Stimulation on Anxiety and Cognition. Frontiers in Human Neuroscience. 11. 251–251. 25 indexed citations
18.
Chaieb, Leila, Caroline Wilpert, Thomas P. Reber, & Juergen Fell. (2015). Auditory Beat Stimulation and its Effects on Cognition and Mood States. Frontiers in Psychiatry. 6. 70–70. 95 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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