Matthias May

3.8k total citations · 1 hit paper
172 papers, 2.7k citations indexed

About

Matthias May is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Matthias May has authored 172 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Radiology, Nuclear Medicine and Imaging, 67 papers in Pulmonary and Respiratory Medicine and 47 papers in Biomedical Engineering. Recurrent topics in Matthias May's work include Radiation Dose and Imaging (47 papers), Advanced X-ray and CT Imaging (41 papers) and Cardiac Imaging and Diagnostics (27 papers). Matthias May is often cited by papers focused on Radiation Dose and Imaging (47 papers), Advanced X-ray and CT Imaging (41 papers) and Cardiac Imaging and Diagnostics (27 papers). Matthias May collaborates with scholars based in Germany, United States and Switzerland. Matthias May's co-authors include Michael Uder, Michael Lell, Wolfgang Wuest, Michael Brand, B. Hoschke, Stephan Achenbach, Sven Gunia, Achim Eller, Michael A. Kuefner and M. Siegsmund and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Matthias May

165 papers receiving 2.6k citations

Hit Papers

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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.

Guiding AI in radiology: ESR’s recommendations for effective implementation of the European AI Act

2025 24 citations Matthias May et al. profile →

Peers

Countries citing papers authored by Matthias May

Since Specialization

Citations

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

Fields of papers citing papers by Matthias May

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias May

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

#	Work	Indexed citations
1	Cardiac Magnetic Resonance Imaging at Lower Field Strength 2025 ·Investigative Radiology ·S Mayr, Stephen Zicha, Daniel Giese, (unknown), (unknown), Saskia S. Arndt, (unknown), (unknown), Michael Uder, Matthias May	0
2	Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures 2025 ·Physics and Imaging in Radiation Oncology ·Philipp Schubert, Matthias May, (unknown), (unknown), Jana Hutter, (unknown), (unknown), (unknown), Lisa Deloch, (unknown), (unknown), (unknown), Benjamin Frey, Udo S. Gaipl, (unknown), (unknown), Michael Uder, Christoph Bert, (unknown), Florian Putz	0
3	Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration 2025 ·RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren ·Obioma Pelka, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Matthias May, Andreas Bucher, (unknown), Martin Boeker, Rickmer Braren, Hans‐Ulrich Prokosch, Felix Nensa	0
4	The Segment Anything foundation model achieves favorable brain tumor auto-segmentation accuracy in MRI to support radiotherapy treatment planning 2024 ·Strahlentherapie und Onkologie ·Florian Putz, (unknown), Manuel Schmidt, Matthias May, (unknown), Thomas Weißmann, Philipp Schubert, (unknown), Ahmed M. Gomaa, (unknown), Sebastian Lettmaier, Benjamin Frey, Udo S. Gaipl, Luitpold Distel, Sabine Semrau, Christoph Bert, Rainer Fietkau, Yixing Huang	7
5	Diagnostic Accuracy and Performance Analysis of a Scanner-Integrated Artificial Intelligence Model for the Detection of Intracranial Hemorrhages in a Traumatology Emergency Department 2023 ·Bioengineering ·(unknown), (unknown), (unknown), (unknown), Wolfgang Wuest, (unknown), (unknown), Michael Uder, Matthias May	8
6	Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition 2023 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), (unknown), Daniel Roth, Matthias May, Andreas Maier, (unknown)	21
7	Free-Breathing and Single-Breath Hold Compressed Sensing Real-Time MRI of Right Ventricular Function in Children with Congenital Heart Disease 2023 ·Diagnostics ·(unknown), (unknown), Sven Dittrich, (unknown), (unknown), (unknown), Wolfgang Wuest, Matthias May, Michael Uder, Oliver Rompel	1
8	Improving the Safety of DIEP Flap Transplantation: Detailed Perforator Anatomy Study Using Preoperative CTA 2022 ·Journal of Personalized Medicine ·(unknown), Armin Ströbel, Ingo Ludolph, Theresa Hauck, Matthias May, Justus P. Beier, Raymund E. Horch, Andreas Arkudas	14
9	Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions 2022 ·Diagnostics ·Tobias Hepp, Wolfgang Wuest, (unknown), Matthias May, (unknown), (unknown), (unknown), Michael Uder, (unknown)	2
10	Pulmonary Dysfunction after Pediatric COVID-19 2022 ·Radiology ·(unknown), (unknown), (unknown), Adrian P. Regensburger, (unknown), (unknown), Adrian Büehler, Jens Vogel‐Claussen, Andreas Voskrebenzev, Manfred Rauh, Oliver Rompel, Armin M. Nagel, Simon Lévy, Sebastian Bickelhaupt, Matthias May, Michael Uder, Markus Metzler, Regina Trollmann, Joachim Woelfle, Alexandra L. Wagner, Ferdinand Knieling	48
11	Potential for Radiation Dose Reduction in Dual-Source Computed Tomography of the Lung in the Pediatric and Adolescent Population Compared to Digital Radiography 2021 ·Diagnostics ·(unknown), Matthias May, (unknown), Matthias Hammon, (unknown), (unknown), Regina Trollmann, Joachim Woelfle, Michael Uder, Oliver Rompel	2
12	Evaluation of CT-Guided Ultra-Low-Dose Protocol for Injection Guidance in Preparation of MR-Arthrography of the Shoulder and Hip Joints in Comparison to Conventional and Low-Dose Protocols 2021 ·Diagnostics ·(unknown), (unknown), Matthias May, Michael Uder, Peter Dankerl	2
13	The third dimension in perforator mapping—Comparison of Cinematic Rendering and maximum intensity projection in abdominal-based autologous breast reconstruction 2021 ·Journal of Plastic Reconstructive & Aesthetic Surgery ·Theresa Hauck, Andreas Arkudas, Raymund E. Horch, Armin Ströbel, Matthias May, (unknown), Christian Krautz, Ingo Ludolph	7
14	Comparison of Readout-Segmented Echo-Planar Imaging and Single-Shot TSE DWI for Cholesteatoma Diagnostics 2021 ·American Journal of Neuroradiology ·Sarina K. Mueller, Wolfgang Wuest, Matthias May, Stephan Ellmann, (unknown), Marc Saake, Rolf Janka, Michael Uder, Frederik B. Laun	8
15	3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI 2020 ·European Radiology ·(unknown), (unknown), Christoph Forman, Michaela Schmidt, Camila Muñoz, Davide Piccini, (unknown), Radhouène Neji, René M. Botnar, Claudia Prieto, Michael Uder, Matthias May, Wolfgang Wuest	20
16	Individual Calculation of Effective Dose and Risk of Malignancy Based on Monte Carlo Simulations after Whole Body Computed Tomography 2020 ·Scientific Reports ·(unknown), (unknown), Wolfgang Wuest, Michael Brand, (unknown), (unknown), Daniela Schmidt, Michael Beck, Bernhard Schmidt, Michael Uder, Matthias May	14
17	Achieving high spatial and temporal resolution with perfusion MRI in the head and neck region using golden-angle radial sampling 2020 ·European Radiology ·(unknown), Wolfgang Wuest, (unknown), Rafael Heiß, (unknown), Armin M. Nagel, Hayato Tomita, (unknown), Michael Uder, Matthias May	9
18	Complete Free-breathing Adenosine Stress Cardiac MRI Using Compressed Sensing and Motion Correction: Comparison of Functional Parameters, Perfusion, and Late Enhancement with the Standard Breath-holding Examination 2019 ·Radiology Cardiothoracic Imaging ·(unknown), (unknown), Matthias May, (unknown), Tobias Hepp, Michael Uder, Wolfgang Wuest	3
19	Evaluation of ventricular septal defects using high pitch computed tomography angiography of the chest in children with complex congenital heart defects below one year of age 2019 ·Journal of cardiovascular computed tomography ·(unknown), Wolfgang Wuest, Oliver Rompel, Matthias Hammon, (unknown), Okan Toka, Sven Dittrich, (unknown), Robert Cesnjevar, Michael Lell, Michael Uder, Matthias May	5
20	Native cardiac T1 Mapping: Standardized inline analysis of long and short axis at three identical 1.5 Tesla MRI scanners 2018 ·European Journal of Radiology ·Rafael Heiß, (unknown), Michael Uder, Matthias May, Wolfgang Wuest	6

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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