Michael Ingrisch

4.5k total citations · 1 hit paper
122 papers, 2.8k citations indexed

About

Michael Ingrisch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Michael Ingrisch has authored 122 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Pulmonary and Respiratory Medicine and 21 papers in Biomedical Engineering. Recurrent topics in Michael Ingrisch's work include MRI in cancer diagnosis (39 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and Advanced MRI Techniques and Applications (30 papers). Michael Ingrisch is often cited by papers focused on MRI in cancer diagnosis (39 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and Advanced MRI Techniques and Applications (30 papers). Michael Ingrisch collaborates with scholars based in Germany, United States and United Kingdom. Michael Ingrisch's co-authors include Maximilian F. Reiser, Steven Sourbron, Olaf Dietrich, Jens Ricke, Bastian O. Sabel, Axel Siefert, Karin A. Herrmann, Konstantin Nikolaou, Balthasar Schachtner and Philipp Wesp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Michael Ingrisch

115 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports

2023 318 citations Katharina Jeblick, Balthasar Schachtner et al. European Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Ingrisch Germany	25	1.6k	483	456	327	218	122	2.8k
Jie Tian China	24	1.4k 0.9×	675 1.4×	354 0.8×	103 0.3×	366 1.7×	63	2.9k
Laurence J. Eckel United States	22	1.6k 1.0×	338 0.7×	353 0.8×	74 0.2×	82 0.4×	75	3.1k
Shuixing Zhang China	32	2.3k 1.4×	556 1.2×	652 1.4×	128 0.4×	437 2.0×	132	3.8k
Philipp Kickingereder Germany	37	3.6k 2.2×	425 0.9×	1.0k 2.3×	116 0.4×	311 1.4×	115	5.3k
Joseph Stancanello Italy	20	1.4k 0.9×	384 0.8×	511 1.1×	65 0.2×	205 0.9×	45	1.7k
Tsuyoshi Nakagawa Japan	30	907 0.6×	237 0.5×	479 1.1×	57 0.2×	379 1.7×	161	2.7k
Brent D. Weinberg United States	25	1.0k 0.6×	867 1.8×	277 0.6×	74 0.2×	157 0.7×	113	3.0k
Heinz‐Peter Schlemmer Germany	36	3.7k 2.3×	870 1.8×	1.5k 3.3×	97 0.3×	266 1.2×	243	5.4k
Daniel Paech Germany	29	2.2k 1.3×	232 0.5×	182 0.4×	65 0.2×	128 0.6×	123	2.9k
Alexander Radbruch Germany	46	4.8k 2.9×	435 0.9×	1.2k 2.6×	94 0.3×	153 0.7×	218	6.9k

Countries citing papers authored by Michael Ingrisch

Since Specialization

Citations

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

Fields of papers citing papers by Michael Ingrisch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ingrisch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ingrisch. A scholar is included among the top collaborators of Michael Ingrisch 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 Michael Ingrisch. Michael Ingrisch 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

Dexl, Jakob, et al.. (2025). Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition. Radiology Artificial Intelligence. 7(2). e240353–e240353.

Rospleszcz, Susanne, Kathrin Wolf, Michael Ingrisch, et al.. (2024). Association between Long-Term Exposure to Traffic-Related Air Pollution and Cardio-Metabolic Phenotypes: An MRI Data-Based Analysis. Environmental Science & Technology. 58(41). 18064–18075. 3 indexed citations

Reidler, Paul, Bastian O. Sabel, Jakob Dexl, et al.. (2024). Computer vision-based guidance tool for correct radiographic hand positioning. 593. 39–39. 1 indexed citations

Stringer, Michael, Daniëlle Kerkhofs, Anna Dewenter, et al.. (2024). Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI. Stroke. 56(1). 128–137. 9 indexed citations

Stüber, Anna Theresa, Matthias P. Fabritius, Boj Hoppe, et al.. (2024). Replication study of PD-L1 status prediction in NSCLC using PET/CT radiomics. European Journal of Radiology. 183. 111825–111825. 2 indexed citations

Wesp, Philipp, Bastian O. Sabel, Andreas Mittermeier, et al.. (2023). Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessment. International Journal of Legal Medicine. 137(3). 733–742. 3 indexed citations

Schindler, Philipp, Max Masthoff, Mirjam Gerwing, et al.. (2023). Imaging-Derived Biomarkers Integrated with Clinical and Laboratory Values Predict Recurrence of Hepatocellular Carcinoma After Liver Transplantation. Journal of Hepatocellular Carcinoma. Volume 10. 2277–2289. 3 indexed citations

Dietrich, Olaf, Mengfei Cai, Anil M. Tuladhar, et al.. (2023). Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition. NMR in Biomedicine. 36(7). e4905–e4905. 5 indexed citations

Jeblick, Katharina, Balthasar Schachtner, Jakob Dexl, et al.. (2023). ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports. European Radiology. 34(5). 2817–2825. 318 indexed citations breakdown →

10.

Sabel, Bastian O., et al.. (2023). WindowNet: Learnable Windows for Chest X-ray Classification. Journal of Imaging. 9(12). 270–270. 1 indexed citations

11.

Mittermeier, Andreas, Paul Reidler, Matthias P. Fabritius, et al.. (2022). End-to-End Deep Learning Approach for Perfusion Data: A Proof-of-Concept Study to Classify Core Volume in Stroke CT. Diagnostics. 12(5). 1142–1142. 5 indexed citations

12.

Paprottka, Karolin J., Franziska Galiè, Michael Ingrisch, et al.. (2021). Outcome and Safety after 103 Radioembolizations with Yttrium-90 Resin Microspheres in 73 Patients with Unresectable Intrahepatic Cholangiocarcinoma—An Evaluation of Predictors. Cancers. 13(21). 5399–5399. 21 indexed citations

13.

Wesp, Philipp, Anno Graser, Stefan Maurus, et al.. (2021). Machine Learning–based Differentiation of Benign and Premalignant Colorectal Polyps Detected with CT Colonography in an Asymptomatic Screening Population: A Proof-of-Concept Study. Radiology. 299(2). 326–335. 37 indexed citations

14.

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

15.

Fabritius, Matthias P., Max Seidensticker, Johannes Rueckel, et al.. (2021). Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer. Journal of Clinical Medicine. 10(16). 3668–3668. 1 indexed citations

16.

Stringer, Michael, Ben Dickie, Úna Clancy, et al.. (2021). Sources of systematic error in DCE‐MRI estimation of low‐level blood‐brain barrier leakage. Magnetic Resonance in Medicine. 86(4). 1888–1903. 30 indexed citations

17.

Thrippleton, Michael J., Walter H. Backes, Steven Sourbron, et al.. (2019). Quantifying blood‐brain barrier leakage in small vessel disease: Review and consensus recommendations. Alzheimer s & Dementia. 15(6). 840–858. 167 indexed citations

18.

Afshar‐Oromieh, Ali, Ralf Floca, Michael Ingrisch, et al.. (2018). Feasibility and robustness of dynamic 18F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation. Scientific Reports. 8(1). 14760–14760. 21 indexed citations

19.

Ingrisch, Michael, Karolin J. Paprottka, Matthias P. Fabritius, et al.. (2017). Prediction of ⁹⁰Y Radioembolization Outcome from Pretherapeutic Factors with Random Survival Forests. Journal of Nuclear Medicine. 59(5). 769–773. 20 indexed citations

20.

Ingrisch, Michael, Steven Sourbron, Dominik Morhard, et al.. (2012). Quantification of Perfusion and Permeability in Multiple Sclerosis. Investigative Radiology. 47(4). 252–258. 79 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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