Michael Woletz

951 total citations
40 papers, 616 citations indexed

About

Michael Woletz is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Michael Woletz has authored 40 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Neurology. Recurrent topics in Michael Woletz's work include Functional Brain Connectivity Studies (23 papers), Advanced MRI Techniques and Applications (16 papers) and Transcranial Magnetic Stimulation Studies (8 papers). Michael Woletz is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Advanced MRI Techniques and Applications (16 papers) and Transcranial Magnetic Stimulation Studies (8 papers). Michael Woletz collaborates with scholars based in Austria, United Kingdom and Germany. Michael Woletz's co-authors include Christian Windischberger, Martin Tik, Rupert Lanzenberger, Ronald Sladky, Christoph Kraus, Anna‐Lisa Schuler, Georg S. Kranz, Claus Lamm, André Hoffmann and Allan Hummer and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Molecular Psychiatry.

In The Last Decade

Michael Woletz

36 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Woletz Austria 17 430 176 172 115 50 40 616
Martin Tik Austria 20 626 1.5× 198 1.1× 361 2.1× 194 1.7× 88 1.8× 54 932
Annika Wagener Germany 11 417 1.0× 153 0.9× 138 0.8× 85 0.7× 64 1.3× 14 679
Luping Song China 16 471 1.1× 154 0.9× 53 0.3× 116 1.0× 69 1.4× 33 664
Sheeba Arnold Anteraper United States 16 585 1.4× 186 1.1× 97 0.6× 152 1.3× 144 2.9× 31 768
Marc Joliot France 3 776 1.8× 176 1.0× 83 0.5× 113 1.0× 95 1.9× 4 908
Huaigui Liu China 13 543 1.3× 230 1.3× 75 0.4× 109 0.9× 168 3.4× 28 789
Oliver Jakobs Germany 5 581 1.4× 111 0.6× 98 0.6× 116 1.0× 74 1.5× 6 682
Alica C. Dieler Germany 11 269 0.6× 77 0.4× 133 0.8× 73 0.6× 38 0.8× 13 415
André Hoffmann Austria 8 331 0.8× 77 0.4× 148 0.9× 124 1.1× 39 0.8× 11 435
Jooyeon Jamie Im South Korea 12 308 0.7× 71 0.4× 231 1.3× 123 1.1× 93 1.9× 39 713

Countries citing papers authored by Michael Woletz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Woletz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Woletz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Woletz. A scholar is included among the top collaborators of Michael Woletz 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 Woletz. Michael Woletz 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.
Woletz, Michael, Mark W. Bêcher, Jonas Björklund, et al.. (2025). Reducing target E-field variability in repetitive TMS through online motion compensation. Brain stimulation. 19(1). 102990–102990.
2.
Woletz, Michael, et al.. (2025). GEM-pRF: GPU-empowered mapping of population receptive fields for large-scale fMRI analysis. Medical Image Analysis. 109. 103891–103891.
3.
Woletz, Michael, et al.. (2024). Chronometric TMS-fMRI of personalized left dorsolateral prefrontal target reveals state-dependency of subgenual anterior cingulate cortex effects. Molecular Psychiatry. 29(9). 2678–2688. 19 indexed citations
4.
Windischberger, Christian, et al.. (2023). Neuronavigation-based improvements of concurrent TMS/fMRI studies. Brain stimulation. 16(1). 193–193.
5.
Schuler, Anna‐Lisa, et al.. (2023). Functional connectivity explains how neuronavigated TMS of posterior temporal subregions differentially affect language processing. Brain stimulation. 16(4). 1062–1071. 9 indexed citations
6.
Woletz, Michael, Allan Hummer, Stefan Sacu, et al.. (2023). Comparison of Stimulus Types for Retinotopic Cortical Mapping of Macular Disease. Translational Vision Science & Technology. 12(3). 6–6.
7.
Woletz, Michael, et al.. (2023). Improved brain stimulation targeting by optimising image acquisition parameters. NeuroImage. 276. 120175–120175. 5 indexed citations
8.
Tik, Martin, Michael Woletz, Anna‐Lisa Schuler, et al.. (2022). Acute TMS/fMRI response explains offline TMS network effects – An interleaved TMS-fMRI study. NeuroImage. 267. 119833–119833. 36 indexed citations
9.
Woletz, Michael, Allan Hummer, Martin Tik, et al.. (2022). Intrasession and Intersession Reproducibility of Artificial Scotoma pRF Mapping Results at Ultra-High Fields. eNeuro. 9(5). ENEURO.0087–22.2022. 3 indexed citations
10.
Rütgen, Markus, Daniela M. Pfabigan, Martin Tik, et al.. (2021). Detached empathic experience of others’ pain in remitted states of depression – An fMRI study. NeuroImage Clinical. 31. 102699–102699. 8 indexed citations
11.
Tik, Martin, Ronald Sladky, Michael Woletz, et al.. (2020). Reproducibility of amygdala activation in facial emotion processing at 7T. NeuroImage. 211. 116585–116585. 29 indexed citations
12.
Kraus, Christoph, René Seiger, Daniela M. Pfabigan, et al.. (2019). Hippocampal Subfields in Acute and Remitted Depression—an Ultra-High Field Magnetic Resonance Imaging Study. The International Journal of Neuropsychopharmacology. 22(8). 513–522. 22 indexed citations
13.
Hummer, Allan, Michael Woletz, Graham E. Holder, et al.. (2019). Retinotopic mapping of the primary visual cortex as an objective functional adjunct to conventional testing in patients with retinal disease. Investigative Ophthalmology & Visual Science. 60(9). 4745–4745. 1 indexed citations
14.
Schuler, Anna‐Lisa, Martin Tik, Ronald Sladky, et al.. (2019). Modulations in resting state networks of subcortical structures linked to creativity. NeuroImage. 195. 311–319. 19 indexed citations
15.
Kraus, Christoph, Manfred Klöbl, Martin Tik, et al.. (2018). The pulvinar nucleus and antidepressant treatment: dynamic modeling of antidepressant response and remission with ultra-high field functional MRI. Molecular Psychiatry. 24(5). 746–756. 25 indexed citations
16.
Lara, Lucia Navarro de, Martin Tik, Michael Woletz, et al.. (2017). High-sensitivity TMS/fMRI of the Human Motor Cortex Using a Dedicated Multichannel MR Coil. NeuroImage. 150. 262–269. 34 indexed citations
17.
Sladky, Ronald, Daniela M. Pfabigan, Christoph Kraus, et al.. (2017). Unsmoothed functional MRI of the human amygdala and bed nucleus of the stria terminalis during processing of emotional faces. NeuroImage. 168. 383–391. 29 indexed citations
18.
Hummer, Allan, Markus Ritter, Michael Woletz, et al.. (2017). Artificial scotoma estimation based on population receptive field mapping. NeuroImage. 169. 342–351. 16 indexed citations
19.
Minkova, Lora, Ronald Sladky, Georg S. Kranz, et al.. (2017). Task-dependent modulation of amygdala connectivity in social anxiety disorder. Psychiatry Research Neuroimaging. 262. 39–46. 20 indexed citations
20.
Spies, Marie, Christoph Kraus, Manfred Klöbl, et al.. (2017). Default mode network deactivation during emotion processing predicts early antidepressant response. Translational Psychiatry. 7(1). e1008–e1008. 58 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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