Saskia Bollmann

987 total citations
21 papers, 418 citations indexed

About

Saskia Bollmann is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Saskia Bollmann has authored 21 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Saskia Bollmann's work include Functional Brain Connectivity Studies (15 papers), Advanced MRI Techniques and Applications (15 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Saskia Bollmann is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Advanced MRI Techniques and Applications (15 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Saskia Bollmann collaborates with scholars based in Australia, United States and Austria. Saskia Bollmann's co-authors include Markus Barth, Ross Cunnington, Alexander M. Puckett, Jon̈athan R. Polimeni, Jason B. Mattingley, Hannah L. Filmer, Paul E. Dux, Gary H. Glover, Jingyuan E. Chen and Simon Robinson and has published in prestigious journals such as NeuroImage, Progress in Neurobiology and Magnetic Resonance in Medicine.

In The Last Decade

Saskia Bollmann

19 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saskia Bollmann Australia 12 301 222 96 39 25 21 418
Lars Kemna Germany 14 369 1.2× 245 1.1× 145 1.5× 68 1.7× 32 1.3× 18 625
Robert X. Smith United States 13 338 1.1× 291 1.3× 68 0.7× 21 0.5× 25 1.0× 17 582
Lucia Navarro de Lara United States 9 220 0.7× 160 0.7× 269 2.8× 18 0.5× 17 0.7× 21 391
Jürgen Vieth Germany 11 246 0.8× 273 1.2× 43 0.4× 30 0.8× 42 1.7× 13 531
A.K.S. Santha United States 7 266 0.9× 228 1.0× 72 0.8× 22 0.6× 25 1.0× 12 444
Yasha B. Khatamian Canada 9 301 1.0× 215 1.0× 12 0.1× 36 0.9× 15 0.6× 9 374
John Roby United States 7 268 0.9× 167 0.8× 317 3.3× 63 1.6× 17 0.7× 11 520
Ícaro Oliveira Netherlands 7 163 0.5× 142 0.6× 25 0.3× 12 0.3× 11 0.4× 15 259
Lauren E. Gascoyne United Kingdom 11 474 1.6× 93 0.4× 24 0.3× 34 0.9× 47 1.9× 19 520
Hesamoddin Jahanian United States 12 236 0.8× 372 1.7× 20 0.2× 34 0.9× 22 0.9× 25 498

Countries citing papers authored by Saskia Bollmann

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Bollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia Bollmann

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia Bollmann. A scholar is included among the top collaborators of Saskia 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 Saskia Bollmann. Saskia 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.
Lv, Jinglei, Christine C. Guo, Saskia Bollmann, et al.. (2025). An fMRI dataset for appetite neural correlates in people living with Motor Neuron Disease. Scientific Data. 12(1). 466–466.
2.
Bollmann, Saskia, et al.. (2025). T 1 ‐weighted fMRI in mouse visual cortex using an iron oxide nanoparticle contrast agent and UTE imaging at 9.4 T. Magnetic Resonance in Medicine. 95(2). 680–692.
3.
Shaw, Thomas B., Pamela McCombe, Robert D. Henderson, et al.. (2025). Appetite loss in patients with motor neuron disease: impact on weight loss and neural correlates of visual food cues. Brain Communications. 7(2). fcaf111–fcaf111. 1 indexed citations
4.
Varadarajan, Divya, et al.. (2024). Investigating timing of BOLD fMRI responses in individual cortical vessels to short and long stimulus durations. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
5.
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
6.
Robinson, Simon, Korbinian Eckstein, Barbara Dymerska, et al.. (2023). Evaluation of the REFILL dynamic distortion correction method for fMRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
7.
Bollmann, Saskia, Hendrik Mattern, Michaël Bernier, et al.. (2022). Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography.. DZNE Pub. 38 indexed citations
8.
Bollmann, Saskia, et al.. (2022). Modelling the depth‐dependent VASO and BOLD responses in human primary visual cortex. Human Brain Mapping. 44(2). 710–726. 6 indexed citations
9.
Gülban, Ömer Faruk, Saskia Bollmann, Laurentius Huber, et al.. (2022). Mesoscopic in vivo human T 2 * dataset acquired using quantitative MRI at 7 Tesla. NeuroImage. 264. 119733–119733. 15 indexed citations
10.
Bollmann, Saskia & Markus Barth. (2020). New acquisition techniques and their prospects for the achievable resolution of fMRI. Progress in Neurobiology. 207. 101936–101936. 28 indexed citations
11.
Filmer, Hannah L., Timothy Ballard, Saskia Bollmann, et al.. (2020). Dissociable effects of tDCS polarity on latent decision processes are associated with individual differences in neurochemical concentrations and cortical morphology. Neuropsychologia. 141. 107433–107433. 18 indexed citations
12.
Puckett, Alexander M., et al.. (2019). Bayesian population receptive field modeling in human somatosensory cortex. NeuroImage. 208. 116465–116465. 28 indexed citations
13.
Filmer, Hannah L., et al.. (2019). Accounting for individual differences in the response to tDCS with baseline levels of neurochemical excitability. Cortex. 115. 324–334. 61 indexed citations
14.
Chen, Jingyuan E., Jon̈athan R. Polimeni, Saskia Bollmann, & Gary H. Glover. (2019). On the analysis of rapidly sampled fMRI data. NeuroImage. 188. 807–820. 47 indexed citations
15.
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
16.
Bollmann, Saskia, Lars Kasper, S. Johanna Vannesjo, et al.. (2017). Analysis and correction of field fluctuations in fMRI data using field monitoring. NeuroImage. 154. 92–105. 29 indexed citations
17.
Puckett, Alexander M., Saskia Bollmann, Benedikt A. Poser, et al.. (2017). Using multi-echo simultaneous multi-slice (SMS) EPI to improve functional MRI of the subcortical nuclei of the basal ganglia at ultra-high field (7T). NeuroImage. 172. 886–895. 27 indexed citations
18.
Puckett, Alexander M., Saskia Bollmann, Markus Barth, & Ross Cunnington. (2017). Measuring the effects of attention to individual fingertips in somatosensory cortex using ultra-high field (7T) fMRI. NeuroImage. 161. 179–187. 32 indexed citations
19.
Bollmann, Saskia, Alexander M. Puckett, Ross Cunnington, & Markus Barth. (2017). Serial correlations in single-subject fMRI with sub-second TR. NeuroImage. 166. 152–166. 48 indexed citations
20.
Kasper, Lars, Saskia Bollmann, S. Johanna Vannesjo, et al.. (2014). Monitoring, analysis, and correction of magnetic field fluctuations in echo planar imaging time series. Magnetic Resonance in Medicine. 74(2). 396–409. 27 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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