Mario Senden

982 total citations
18 papers, 563 citations indexed

About

Mario Senden is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Mario Senden has authored 18 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Mario Senden's work include Neural dynamics and brain function (16 papers), Functional Brain Connectivity Studies (11 papers) and Visual perception and processing mechanisms (5 papers). Mario Senden is often cited by papers focused on Neural dynamics and brain function (16 papers), Functional Brain Connectivity Studies (11 papers) and Visual perception and processing mechanisms (5 papers). Mario Senden collaborates with scholars based in Netherlands, Spain and Germany. Mario Senden's co-authors include Rainer Goebel, Gustavo Deco, Kurt Driessens, Alexander Kröner, Martijn P. van den Heuvel, Viktor Jirsa, Marcel A. de Reus, Joel Reithler, Matthieu Gilson and Martin A. Frost and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Mario Senden

17 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Senden Netherlands 11 419 151 126 53 42 18 563
Konstantin Mergenthaler Germany 7 537 1.3× 38 0.3× 86 0.7× 61 1.2× 69 1.6× 7 671
Mainak Jas United States 12 666 1.6× 57 0.4× 51 0.4× 64 1.2× 69 1.6× 19 802
Erik Anderson United States 11 316 0.8× 40 0.3× 87 0.7× 40 0.8× 55 1.3× 22 535
Andrew Haun United States 15 511 1.2× 36 0.2× 246 2.0× 71 1.3× 36 0.9× 38 859
Joachim Böttger Germany 8 292 0.7× 172 1.1× 72 0.6× 30 0.6× 16 0.4× 12 428
Andrew Michael United States 12 298 0.7× 136 0.9× 42 0.3× 49 0.9× 11 0.3× 22 486
Gholam‐Ali Hossein‐Zadeh Iran 17 626 1.5× 179 1.2× 59 0.5× 59 1.1× 46 1.1× 89 812
Florian Baumgartner Germany 12 428 1.0× 64 0.4× 58 0.5× 75 1.4× 8 0.2× 28 539
Chang Cai China 14 308 0.7× 100 0.7× 20 0.2× 24 0.5× 32 0.8× 37 455
Alexander Pastukhov Germany 15 562 1.3× 13 0.1× 38 0.3× 80 1.5× 49 1.2× 42 608

Countries citing papers authored by Mario Senden

Since Specialization
Citations

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

Fields of papers citing papers by Mario Senden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Senden

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

All Works

18 of 18 papers shown
1.
Goebel, Rainer, et al.. (2024). Convolutional neural networks develop major organizational principles of early visual cortex when enhanced with retinal sampling. Scientific Reports. 14(1). 8980–8980. 2 indexed citations
2.
Senden, Mario, et al.. (2024). Multi-scale spiking network model of human cerebral cortex. Cerebral Cortex. 34(10). 6 indexed citations
3.
Senden, Mario, Sacha J. van Albada, Giovanni Pezzulo, et al.. (2023). Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance. National Science Review. 11(5). nwad318–nwad318.
4.
Goebel, Rainer, et al.. (2022). Reading Imagined Letter Shapes from the Mind’s Eye Using Real-time 7 Tesla fMRI. Research Publications (Maastricht University). 1–3. 4 indexed citations
5.
Lührs, Michael, et al.. (2021). Extremely fast pRF mapping for real-time applications. NeuroImage. 245. 118671–118671. 7 indexed citations
6.
Peters, Judith, et al.. (2021). Cortical Synchrony as a Mechanism of Collinear Facilitation and Suppression in Early Visual Cortex. Frontiers in Systems Neuroscience. 15. 670702–670702. 1 indexed citations
7.
Lage‐Castellanos, Agustín, Giancarlo Valente, Mario Senden, & Federico De Martino. (2020). Investigating the Reliability of Population Receptive Field Size Estimates Using fMRI. Frontiers in Neuroscience. 14. 825–825. 16 indexed citations
8.
Kröner, Alexander, Mario Senden, Kurt Driessens, & Rainer Goebel. (2020). Contextual encoder–decoder network for visual saliency prediction. Neural Networks. 129. 261–270. 138 indexed citations
9.
Senden, Mario, et al.. (2019). Reconstructing imagined letters from early visual cortex reveals tight topographic correspondence between visual mental imagery and perception. Brain Structure and Function. 224(3). 1167–1183. 31 indexed citations
10.
Senden, Mario, et al.. (2019). Interfering with a memory without erasing its trace. Neural Networks. 121. 339–355. 1 indexed citations
11.
Douw, Linda, Edwin van Dellen, Alida A. Gouw, et al.. (2019). The road ahead in clinical network neuroscience. Network Neuroscience. 3(4). 969–993. 28 indexed citations
12.
Gilson, Matthieu, Gorka Zamora‐López, Mohit H. Adhikari, et al.. (2019). Model-based whole-brain effective connectivity to study distributed cognition in health and disease. Network Neuroscience. 4(2). 338–373. 38 indexed citations
13.
Senden, Mario, et al.. (2017). Task‐related effective connectivity reveals that the cortical rich club gates cortex‐wide communication. Human Brain Mapping. 39(3). 1246–1262. 22 indexed citations
14.
Senden, Mario, et al.. (2016). Cortical rich club regions can organize state-dependent functional network formation by engaging in oscillatory behavior. NeuroImage. 146. 561–574. 38 indexed citations
15.
Senden, Mario, et al.. (2014). Evaluating Population Receptive Field Estimation Frameworks in Terms of Robustness and Reproducibility. PLoS ONE. 9(12). e114054–e114054. 27 indexed citations
16.
Senden, Mario, Gustavo Deco, Marcel A. de Reus, Rainer Goebel, & Martijn P. van den Heuvel. (2014). Rich club organization supports a diverse set of functional network configurations. NeuroImage. 96. 174–182. 90 indexed citations
17.
18.
Deco, Gustavo, Mario Senden, & Viktor Jirsa. (2012). How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Frontiers in Computational Neuroscience. 6. 68–68. 90 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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