Michael Dieckmeyer

2.0k total citations
61 papers, 1.4k citations indexed

About

Michael Dieckmeyer is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Biomedical Engineering. According to data from OpenAlex, Michael Dieckmeyer has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Orthopedics and Sports Medicine and 27 papers in Biomedical Engineering. Recurrent topics in Michael Dieckmeyer's work include Bone and Joint Diseases (29 papers), Bone health and osteoporosis research (20 papers) and Medical Imaging and Analysis (16 papers). Michael Dieckmeyer is often cited by papers focused on Bone and Joint Diseases (29 papers), Bone health and osteoporosis research (20 papers) and Medical Imaging and Analysis (16 papers). Michael Dieckmeyer collaborates with scholars based in Germany, Singapore and United States. Michael Dieckmeyer's co-authors include Thomas Baum, Dimitrios C. Karampinos, Stefan Ruschke, Jan S. Kirschke, Maximilian N. Diefenbach, Ernst J. Rummeny, Daniela Franz, Nico Sollmann, Claus Zimmer and Hans Hauner and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Bone and Mineral Research.

In The Last Decade

Michael Dieckmeyer

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Dieckmeyer Germany	20	700	526	368	353	216	61	1.4k
Stefan Ruschke Germany	21	682 1.0×	669 1.3×	291 0.8×	290 0.8×	215 1.0×	60	1.5k
David K.W. Yeung Hong Kong	22	942 1.3×	751 1.4×	410 1.1×	190 0.5×	238 1.1×	57	2.0k
Gabby B. Joseph United States	31	837 1.2×	311 0.6×	1.5k 4.0×	970 2.7×	128 0.6×	120	3.0k
Lee‐Ren Yeh Taiwan	23	326 0.5×	167 0.3×	747 2.0×	211 0.6×	94 0.4×	59	1.3k
Nicolas Vilayphiou France	24	1.2k 1.6×	167 0.3×	520 1.4×	169 0.5×	251 1.2×	37	1.7k
C. Trevisan Italy	24	326 0.5×	106 0.2×	591 1.6×	142 0.4×	118 0.5×	78	1.7k
Michael A. Fischer Switzerland	23	177 0.3×	668 1.3×	557 1.5×	409 1.2×	128 0.6×	66	1.7k
Guo-Shu Huang Taiwan	22	269 0.4×	207 0.4×	426 1.2×	108 0.3×	45 0.2×	56	1.2k
Poon‐Ung Chieng Taiwan	22	364 0.5×	328 0.6×	405 1.1×	87 0.2×	142 0.7×	51	1.3k
M. Vahlensieck Germany	18	275 0.4×	177 0.3×	500 1.4×	125 0.4×	75 0.3×	71	1.1k

Countries citing papers authored by Michael Dieckmeyer

Since Specialization

Citations

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

Fields of papers citing papers by Michael Dieckmeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Dieckmeyer

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

Sollmann, Nico, Michael Dieckmeyer, Julio Carballido‐Gamio, et al.. (2024). Magnetic Resonance Assessment of Bone Quality in Metabolic Bone Diseases. Seminars in Musculoskeletal Radiology. 28(5). 576–593.

Dieckmeyer, Michael, Nico Sollmann, Maximilian T. Löffler, et al.. (2023). Computed Tomography of the Head. Clinical Neuroradiology. 33(3). 591–610. 9 indexed citations

Bodden, Jannis, Michael Dieckmeyer, Nico Sollmann, et al.. (2023). Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans. Frontiers in Endocrinology. 14. 1207949–1207949. 3 indexed citations

Schlaeger, Sarah, Suprosanna Shit, Paul Eichinger, et al.. (2023). AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosis. Insights into Imaging. 14(1). 123–123. 7 indexed citations

Bodden, Jannis, Michael Dieckmeyer, Nico Sollmann, et al.. (2023). Long-term reproducibility of opportunistically assessed vertebral bone mineral density and texture features in routine clinical multi-detector computed tomography using an automated segmentation framework. Quantitative Imaging in Medicine and Surgery. 13(9). 5472–5482. 3 indexed citations

Dieckmeyer, Michael, Maximilian T. Löffler, Malek El Husseini, et al.. (2022). Level-Specific Volumetric BMD Threshold Values for the Prediction of Incident Vertebral Fractures Using Opportunistic QCT: A Case-Control Study. Frontiers in Endocrinology. 13. 882163–882163. 23 indexed citations

Dieckmeyer, Michael, Nico Sollmann, Malek El Husseini, et al.. (2022). Gender-, Age- and Region-Specific Characterization of Vertebral Bone Microstructure Through Automated Segmentation and 3D Texture Analysis of Routine Abdominal CT. Frontiers in Endocrinology. 12. 792760–792760. 12 indexed citations

Poirey, Rémy, Michael Dieckmeyer, K. Witter, et al.. (2021). Immunoinformatic Analysis Reveals Antigenic Heterogeneity of Epstein-Barr Virus Is Immune-Driven. Frontiers in Immunology. 12. 796379–796379. 3 indexed citations

Dieckmeyer, Michael, Maximilian T. Löffler, Peter B. Noël, et al.. (2021). Predicting Vertebral Bone Strength Using Finite Element Analysis for Opportunistic Osteoporosis Screening in Routine Multidetector Computed Tomography Scans—A Feasibility Study. Frontiers in Endocrinology. 11. 526332–526332. 14 indexed citations

10.

Sollmann, Nico, Michael Dieckmeyer, Egon Burian, et al.. (2021). Multi-detector computed tomography (MDCT) imaging: association of bone texture parameters with finite element analysis (FEA)-based failure load of single vertebrae and functional spinal units. Quantitative Imaging in Medicine and Surgery. 11(7). 2955–2967. 7 indexed citations

11.

Burian, Egon, Daniela Franz, Michael Dieckmeyer, et al.. (2020). Age- and gender-related variations of cervical muscle composition using chemical shift encoding-based water-fat MRI. European Journal of Radiology. 125. 108904–108904. 12 indexed citations

12.

Burian, Egon, Michael Dieckmeyer, Christina Holzapfel, et al.. (2020). Age- and BMI-related variations of fat distribution in sacral and lumbar bone marrow and their association with local muscle fat content. Scientific Reports. 10(1). 9686–9686. 12 indexed citations

13.

Dieckmeyer, Michael, Stefan Ruschke, Muthu Rama Krishnan Mookiah, et al.. (2020). Vertebral Bone Marrow Heterogeneity Using Texture Analysis of Chemical Shift Encoding-Based MRI: Variations in Age, Sex, and Anatomical Location. Frontiers in Endocrinology. 11. 555931–555931. 18 indexed citations

14.

Subburaj, Karupppasamy, Kai Mei, Michael Dieckmeyer, et al.. (2020). Finite Element Analysis-Based Vertebral Bone Strength Prediction Using MDCT Data: How Low Can We Go?. Frontiers in Endocrinology. 11. 442–442. 8 indexed citations

15.

Dieckmeyer, Michael, Stefan Ruschke, Alexander Rohrmeier, et al.. (2019). Vertebral bone marrow fat fraction changes in postmenopausal women with breast cancer receiving combined aromatase inhibitor and bisphosphonate therapy. BMC Musculoskeletal Disorders. 20(1). 515–515. 9 indexed citations

16.

Sollmann, Nico, Sarah Schlaeger, Michael Dieckmeyer, et al.. (2019). Associations of thigh muscle fat infiltration with isometric strength measurements based on chemical shift encoding-based water-fat magnetic resonance imaging. European Radiology Experimental. 3(1). 45–45. 35 indexed citations

17.

Burian, Egon, Karupppasamy Subburaj, Muthu Rama Krishnan Mookiah, et al.. (2019). Texture analysis of vertebral bone marrow using chemical shift encoding–based water-fat MRI: a feasibility study. Osteoporosis International. 30(6). 1265–1274. 36 indexed citations

18.

Anitha, D, Kai Mei, Michael Dieckmeyer, et al.. (2018). MDCT-based Finite Element Analysis of Vertebral Fracture Risk: What Dose is Needed?. Clinical Neuroradiology. 29(4). 645–651. 13 indexed citations

19.

Schlaeger, Sarah, Elisabeth Klupp, Michael Dieckmeyer, et al.. (2018). Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUM. PLoS ONE. 13(6). e0198200–e0198200. 20 indexed citations

20.

Cordes, Christian, Thomas Baum, Michael Dieckmeyer, et al.. (2016). MR-Based Assessment of Bone Marrow Fat in Osteoporosis, Diabetes, and Obesity. Frontiers in Endocrinology. 7. 74–74. 76 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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