Steffen Bollmann

1.7k total citations
49 papers, 912 citations indexed

About

Steffen Bollmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Steffen Bollmann has authored 49 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Cognitive Neuroscience and 11 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Steffen Bollmann's work include Advanced MRI Techniques and Applications (21 papers), Functional Brain Connectivity Studies (17 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Steffen Bollmann is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Functional Brain Connectivity Studies (17 papers) and Advanced Neuroimaging Techniques and Applications (13 papers). Steffen Bollmann collaborates with scholars based in Australia, Germany and United States. Steffen Bollmann's co-authors include Markus Barth, Lars Michels, Carmen Ghisleni, Peter Klaver, Daniel Brandeis, Kieran O’Brien, Simon‐Shlomo Poil, Tobias U. Hauser, Miriam Sebold and Chloe Hutton and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Steffen Bollmann

45 papers receiving 903 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steffen Bollmann Australia 14 480 384 156 77 68 49 912
Ben Inglis United States 15 561 1.2× 647 1.7× 163 1.0× 76 1.0× 90 1.3× 32 1.2k
Mangor Pedersen Australia 17 596 1.2× 246 0.6× 150 1.0× 73 0.9× 40 0.6× 53 845
Costin Tanase United States 14 312 0.7× 358 0.9× 149 1.0× 72 0.9× 76 1.1× 21 728
João Jorge Switzerland 17 712 1.5× 325 0.8× 64 0.4× 53 0.7× 47 0.7× 40 961
Ivan I. Maximov Norway 20 314 0.7× 650 1.7× 92 0.6× 48 0.6× 117 1.7× 67 1.2k
Antonios Makropoulos United Kingdom 18 550 1.1× 678 1.8× 77 0.5× 49 0.6× 33 0.5× 23 1.6k
Frédéric Grouiller Switzerland 25 1.0k 2.1× 512 1.3× 385 2.5× 134 1.7× 52 0.8× 47 1.4k
Erin L. Mazerolle Canada 21 754 1.6× 793 2.1× 156 1.0× 69 0.9× 33 0.5× 51 1.3k
Martin Kaltenhäuser Germany 17 509 1.1× 184 0.5× 313 2.0× 127 1.6× 68 1.0× 35 802
Nazakat Merchant United Kingdom 23 1.0k 2.1× 1.0k 2.7× 146 0.9× 81 1.1× 90 1.3× 37 2.5k

Countries citing papers authored by Steffen Bollmann

Since Specialization
Citations

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

Fields of papers citing papers by Steffen Bollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Bollmann

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

All Works

20 of 20 papers shown
1.
Bollmann, Steffen, et al.. (2025). Quantum restoration of symmetry protected topological phases. Communications Physics. 8(1).
2.
Zhu, Xiangyun, Sicong Tu, Shyuan T. Ngo, et al.. (2025). An Annotated Multi-Site and Multi-Contrast Magnetic Resonance Imaging Dataset for the study of the Human Tongue Musculature. Scientific Data. 12(1). 790–790.
3.
Barden, Anne, Sujata Shinde, Lawrence J. Beilin, et al.. (2024). Adiposity associates with lower plasma resolvin E1 (Rve1): a population study. International Journal of Obesity. 48(5). 725–732. 11 indexed citations
4.
Jin, Jin, Stefan Ropele, Christian Enzinger, et al.. (2024). Three‐dimensional EPI with shot‐selective CAIPIRIHANA for rapid high‐resolution quantitative susceptibility mapping at 3 T. Magnetic Resonance in Medicine. 92(3). 997–1010.
5.
Bollmann, Steffen, Chandan Setty, Urban F. P. Seifert, & Elio J. König. (2024). Topological Green’s Function Zeros in an Exactly Solved Model and Beyond. Physical Review Letters. 133(13). 136504–136504. 8 indexed citations
7.
Robinson, Simon, Korbinian Eckstein, Saskia Bollmann, et al.. (2023). Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL). Human Brain Mapping. 44(15). 5095–5112. 3 indexed citations
8.
Bollmann, Steffen, et al.. (2023). Lifshitz transition in the phase diagram of two-leg tJ ladder systems at low filling. Physical review. B.. 108(15). 1 indexed citations
9.
Steyn, Frederik J., Shyuan T. Ngo, Robert D. Henderson, et al.. (2022). Open-Source Hypothalamic-ForniX (OSHy-X) Atlases andSegmentation Tool for 3T and 7T. The Journal of Open Source Software. 7(76). 4368–4368. 4 indexed citations
10.
Chandra, Shekhar S., et al.. (2021). Deep learning in magnetic resonance image reconstruction. Journal of Medical Imaging and Radiation Oncology. 65(5). 564–577. 45 indexed citations
11.
Shaw, Thomas B., Ashley York, Markus Barth, & Steffen Bollmann. (2020). Towards Optimising MRI Characterisation of Tissue (TOMCAT) Dataset including all Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) data. SHILAP Revista de lepidopterología. 32. 106043–106043. 3 indexed citations
12.
Shaw, Thomas B., Ashley York, Maryam Ziaei, Markus Barth, & Steffen Bollmann. (2020). Longitudinal Automatic Segmentation of Hippocampal Subfields (LASHiS) using multi-contrast MRI. NeuroImage. 218. 116798–116798. 8 indexed citations
13.
Bollmann, Steffen, et al.. (2020). Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses. NeuroImage Clinical. 28. 102440–102440. 5 indexed citations
14.
Bollmann, Steffen, Mathias Vassard Olsen, Lasse Riis Østergaard, et al.. (2019). SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. Zeitschrift für Medizinische Physik. 29(2). 139–149. 18 indexed citations
15.
Shaw, Thomas B., Steffen Bollmann, Lachlan T. Strike, et al.. (2019). Non-linear realignment improves hippocampus subfield segmentation reliability. NeuroImage. 203. 116206–116206. 10 indexed citations
16.
Thapaliya, Kiran, et al.. (2019). 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy. Magnetic Resonance Imaging. 61. 1–8. 9 indexed citations
17.
Bollmann, Saskia, et al.. (2017). Non-linear Realignment Using Minimum Deformation Averaging for Single-subject fMRI at Ultra-high Field. Queensland's institutional digital repository (The University of Queensland). 25(5338). 1 indexed citations
18.
Zimmer, F., Kieran O’Brien, Steffen Bollmann, et al.. (2016). Pulsed arterial spin labelling at ultra-high field with a B 1 + -optimised adiabatic labelling pulse. Magnetic Resonance Materials in Physics Biology and Medicine. 29(3). 463–473. 9 indexed citations
19.
Reutens, David C., et al.. (2016). Echo time‐dependent quantitative susceptibility mapping contains information on tissue properties. Magnetic Resonance in Medicine. 77(5). 1946–1958. 54 indexed citations
20.
Poil, Simon‐Shlomo, Steffen Bollmann, Carmen Ghisleni, et al.. (2014). Age dependent electroencephalographic changes in attention-deficit/hyperactivity disorder (ADHD). Clinical Neurophysiology. 125(8). 1626–1638. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026