Michael Lührs

2.1k total citations
48 papers, 972 citations indexed

About

Michael Lührs is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael Lührs has authored 48 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael Lührs's work include Functional Brain Connectivity Studies (29 papers), EEG and Brain-Computer Interfaces (17 papers) and Neural and Behavioral Psychology Studies (15 papers). Michael Lührs is often cited by papers focused on Functional Brain Connectivity Studies (29 papers), EEG and Brain-Computer Interfaces (17 papers) and Neural and Behavioral Psychology Studies (15 papers). Michael Lührs collaborates with scholars based in Netherlands, Germany and United Kingdom. Michael Lührs's co-authors include Rainer Goebel, David M. A. Mehler, David E.J. Linden, Bettina Sorger, Simon H. Kohl, Judith Eck, Florian Krause, Robert T. Thibault, Kerstin Konrad and Leena Subramanian and has published in prestigious journals such as NeuroImage, Brain and Scientific Reports.

In The Last Decade

Michael Lührs

46 papers receiving 963 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 Lührs Netherlands 17 686 240 167 138 124 48 972
Joana Bisol Balardin Brazil 17 564 0.8× 348 1.4× 149 0.9× 116 0.8× 134 1.1× 55 1.1k
Andy Schumann Germany 17 466 0.7× 111 0.5× 337 2.0× 76 0.6× 129 1.0× 64 894
Leena Subramanian United Kingdom 10 626 0.9× 168 0.7× 83 0.5× 94 0.7× 146 1.2× 12 883
Justin Hudak Germany 15 285 0.4× 128 0.5× 110 0.7× 136 1.0× 127 1.0× 30 548
Ezra E. Smith United States 10 560 0.8× 72 0.3× 92 0.6× 148 1.1× 224 1.8× 15 873
Masashi Suda Japan 15 289 0.4× 200 0.8× 123 0.7× 200 1.4× 84 0.7× 26 637
Suzanne T. Witt United States 16 718 1.0× 222 0.9× 44 0.3× 70 0.5× 101 0.8× 26 1.1k
Feliberto de la Cruz Germany 16 445 0.6× 163 0.7× 127 0.8× 148 1.1× 108 0.9× 42 737
Sabrina Schneider Germany 10 290 0.4× 223 0.9× 153 0.9× 65 0.5× 91 0.7× 20 518
Savio W.H. Wong Hong Kong 19 664 1.0× 83 0.3× 350 2.1× 122 0.9× 155 1.3× 38 1.2k

Countries citing papers authored by Michael Lührs

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lührs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lührs

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lührs. A scholar is included among the top collaborators of Michael Lührs 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 Lührs. Michael Lührs 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
3.
Lührs, Michael, et al.. (2024). Online self-evaluation of fMRI-based neurofeedback performance. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1915). 20230089–20230089. 3 indexed citations
6.
Sanders, Zeena‐Britt, Melanie K. Fleming, Catharina Zich, et al.. (2022). Self-modulation of motor cortex activity after stroke: a randomized controlled trial. Brain. 145(10). 3391–3404. 15 indexed citations
7.
Ponticorvo, Sara, et al.. (2022). Semantic fMRI neurofeedback: a multi-subject study at 3 tesla. Journal of Neural Engineering. 19(3). 36020–36020. 4 indexed citations
8.
Krause, Florian, et al.. (2021). Self-regulation of stress-related large-scale brain network balance using real-time fMRI neurofeedback. NeuroImage. 243. 118527–118527. 12 indexed citations
9.
Lührs, Michael, et al.. (2021). Extremely fast pRF mapping for real-time applications. NeuroImage. 245. 118671–118671. 7 indexed citations
10.
Zich, Catharina, et al.. (2020). Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females. NeuroImage. 220. 117053–117053. 16 indexed citations
11.
Lührs, Michael, et al.. (2020). Brain-Based Binary Communication Using Spatiotemporal Features of fNIRS Responses. Frontiers in Human Neuroscience. 14. 113–113. 12 indexed citations
12.
Lührs, Michael, et al.. (2020). An Augmented-Reality fNIRS-Based Brain-Computer Interface: A Proof-of-Concept Study. Frontiers in Neuroscience. 14. 346–346. 12 indexed citations
13.
Saviola, Francesca, James Gilleen, Beth Allen, et al.. (2020). Using connectivity-based real-time fMRI neurofeedback to modulate attentional and resting state networks in people with high trait anxiety. NeuroImage Clinical. 25. 102191–102191. 28 indexed citations
14.
Direito, Bruno, João L. M. P. de Lima, Marco Simões, et al.. (2019). Targeting dynamic facial processing mechanisms in superior temporal sulcus using a novel fMRI neurofeedback target. Neuroscience. 406. 97–108. 20 indexed citations
15.
Lührs, Michael, Bruno Riemenschneider, Judith Eck, et al.. (2019). The potential of MR-Encephalography for BCI/Neurofeedback applications with high temporal resolution. NeuroImage. 194. 228–243. 7 indexed citations
16.
Mehler, David M. A., Florian Krause, Michael Lührs, et al.. (2018). The BOLD response in primary motor cortex and supplementary motor area during kinesthetic motor imagery based graded fMRI neurofeedback. NeuroImage. 184. 36–44. 39 indexed citations
17.
Mehler, David M. A., Moses O. Sokunbi, Habes Isabelle, et al.. (2018). Targeting the affective brain—a randomized controlled trial of real-time fMRI neurofeedback in patients with depression. Neuropsychopharmacology. 43(13). 2578–2585. 95 indexed citations
18.
Krause, Florian, Michael Lührs, Judith Eck, et al.. (2017). Real-time fMRI-based self-regulation of brain activation across different visual feedback presentations. Research Publications (Maastricht University). 4(1-2). 87–101. 20 indexed citations
19.
Lührs, Michael, David Ma Mehler, David E.J. Linden, et al.. (2017). Gradual real-time fMRI neurofeedback training of motor imagery in middle cerebral artery stroke patients. Open Science Framework. 1 indexed citations
20.
Lührs, Michael, Bettina Sorger, Rainer Goebel, & Fabrizio Esposito. (2016). Automated selection of brain regions for real-time fMRI brain–computer interfaces. Journal of Neural Engineering. 14(1). 16004–16004. 11 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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