Michael Bach

2.9k total citations · 2 hit papers
42 papers, 1.6k citations indexed

About

Michael Bach is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Clinical Psychology. According to data from OpenAlex, Michael Bach has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 6 papers in Clinical Psychology. Recurrent topics in Michael Bach's work include Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (9 papers). Michael Bach is often cited by papers focused on Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (9 papers). Michael Bach collaborates with scholars based in Switzerland, Germany and Chile. Michael Bach's co-authors include Bram Stieltjes, Frederik B. Laun, Hanns‐Christian Breit, Klaus Maier‐Hein, Alexander Leemans, Chantal M. W. Tax, Geert Jan Biessels, Doris Bach, Shan Yang and Jakob Wasserthal and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Michael Bach

39 papers receiving 1.5k 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.

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

2023 465 citations Jakob Wasserthal, Hanns‐Christian Breit et al. profile →
Methodological considerations on tract-based spatial statistics (TBSS)

2014 360 citations Michael Bach, Frederik B. Laun et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Bach Switzerland	16	891	301	275	220	209	42	1.6k
Huaiqiang Sun China	22	1.1k 1.2×	235 0.8×	480 1.7×	120 0.5×	654 3.1×	73	2.0k
Fabrício Pereira France	26	1.0k 1.1×	731 2.4×	615 2.2×	114 0.5×	611 2.9×	68	2.3k
Shuichi Ono Japan	26	679 0.8×	248 0.8×	152 0.6×	74 0.3×	473 2.3×	92	2.3k
Mark Mandelkern United States	14	1.2k 1.3×	317 1.1×	158 0.6×	42 0.2×	388 1.9×	29	2.0k
Markus Klarhöfer Switzerland	25	758 0.9×	275 0.9×	138 0.5×	64 0.3×	442 2.1×	61	1.5k
Michael Lawson United States	16	704 0.8×	87 0.3×	170 0.6×	154 0.7×	218 1.0×	48	1.7k
Katrin Hegenscheid Germany	26	597 0.7×	315 1.0×	136 0.5×	70 0.3×	374 1.8×	72	2.1k
Bruce Spottiswoode United States	27	1.4k 1.6×	60 0.2×	281 1.0×	94 0.4×	129 0.6×	93	2.3k
Armin Biller Germany	16	467 0.5×	199 0.7×	79 0.3×	145 0.7×	270 1.3×	28	1.3k
Jani Saunavaara Finland	23	443 0.5×	80 0.3×	77 0.3×	139 0.6×	293 1.4×	92	1.5k

Countries citing papers authored by Michael Bach

Since Specialization

Citations

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

Fields of papers citing papers by Michael Bach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bach

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bach, Michael, et al.. (2025). Information Extraction and Summarization for Neurovascular Consultations with GPT-4o: A Clinical Case Study. Clinical Neuroradiology. 35(4). 827–835. 1 indexed citations

Wasserthal, Jakob, Martin Segeroth, Shan Yang, et al.. (2025). Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI. Journal of Imaging Informatics in Medicine. 39(1). 345–354.

Otto, Marcia C. de Oliveira, Vlad C. Sandulache, Savitri Appana, et al.. (2025). Disproportionate burden of poor diet quality among individuals diagnosed with oropharyngeal cancer during critical periods of cancer care: The U-DINE study. Nutrition. 137. 112820–112820.

Breit, Hanns‐Christian, Jakob Wasserthal, Michael Bach, et al.. (2024). AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort. Academic Radiology. 32(5). 2700–2706. 1 indexed citations

Breit, Hanns‐Christian, et al.. (2024). New-generation 0.55T MRI in patients with total hip arthroplasty: a comparison with 1.5T MRI. Clinical Radiology. 81. 106758–106758. 2 indexed citations

Vosshenrich, Jan, Matthias Fenchel, Dominik Nickel, et al.. (2024). Deep Learning Reconstructed New-Generation 0.55 T MRI of the Knee—A Prospective Comparison With Conventional 3 T MRI. Investigative Radiology. 59(12). 823–830. 2 indexed citations

Bach, Michael, Christoph Aberle, Adrien Depeursinge, et al.. (2023). 3D‐printed iodine‐ink CT phantom for radiomics feature extraction ‐ advantages and challenges. Medical Physics. 50(9). 5682–5697. 1 indexed citations

Rusche, Thilo, Hanns‐Christian Breit, Michael Bach, et al.. (2023). Prospective Assessment of Cerebral Microbleeds with Low-Field Magnetic Resonance Imaging (0.55 Tesla MRI). Journal of Clinical Medicine. 12(3). 1179–1179. 4 indexed citations

Vosshenrich, Jan, Andreas Gutzeit, Michael Bach, et al.. (2023). New-Generation 0.55 T MRI of the Knee—Initial Clinical Experience and Comparison With 3 T MRI. Investigative Radiology. 59(4). 298–305. 6 indexed citations

10.

Vosshenrich, Jan, Hanns‐Christian Breit, Michael Bach, & Elmar M. Merkle. (2022). Ökonomische Aspekte der Niederfeld-Magnetresonanztomographie. Der Radiologe. 62(5). 400–404. 31 indexed citations

11.

Breit, Hanns‐Christian, Jan Vosshenrich, Michael Bach, & Elmar M. Merkle. (2022). Neue klinische Anwendungsbereiche der Niederfeld-Magnetresonanztomographie. Der Radiologe. 62(5). 394–399. 3 indexed citations

12.

Bach, Michael, Shan Yang, Bram Stieltjes, et al.. (2022). Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia. European Journal of Radiology. 150. 110259–110259. 14 indexed citations

13.

Bach, Michael, Shan Yang, Fabian Franzeck, et al.. (2021). Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds. Diagnostics. 11(5). 738–738. 11 indexed citations

14.

Sullivan, William F., et al.. (2019). Promoting health care decision-making capabilities of adults with intellectual and developmental disabilities.. PubMed. 65(Suppl 1). S27–S29. 3 indexed citations

15.

Echner, Gernot, et al.. (2019). The ADAM-pelvis phantom—an anthropomorphic, deformable and multimodal phantom for MRgRT. Physics in Medicine and Biology. 64(4). 04NT05–04NT05. 44 indexed citations

16.

Wagner, F. E., Frederik B. Laun, Tristan Anselm Kuder, et al.. (2017). Temperature and concentration calibration of aqueous polyvinylpyrrolidone (PVP) solutions for isotropic diffusion MRI phantoms. PLoS ONE. 12(6). e0179276–e0179276. 38 indexed citations

17.

Bach, Michael, Frederik B. Laun, Alexander Leemans, et al.. (2014). Methodological considerations on tract-based spatial statistics (TBSS). NeuroImage. 100. 358–369. 360 indexed citations breakdown →

18.

Aigner, Martin, Werner Zitterl, Daniela Prayer, et al.. (2005). Magnetic resonance imaging in patients with obsessive–compulsive disorder with good versus poor insight. Psychiatry Research Neuroimaging. 140(2). 173–179. 32 indexed citations

19.

Zwaan, Martina de, et al.. (1996). Pain sensitivity, alexithymia, and depression in patients with eating disorders: Are they related?. Journal of Psychosomatic Research. 41(1). 65–70. 70 indexed citations

20.

Musalek, M., et al.. (1990). The Position of Delusional Parasitosis in Psychiatric Nosology and Classification. Psychopathology. 23(2). 115–124. 32 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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