Mathias Weymar

3.2k total citations
82 papers, 2.0k citations indexed

About

Mathias Weymar is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology. According to data from OpenAlex, Mathias Weymar has authored 82 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 19 papers in Neurology and 18 papers in Experimental and Cognitive Psychology. Recurrent topics in Mathias Weymar's work include Memory and Neural Mechanisms (34 papers), Neural and Behavioral Psychology Studies (26 papers) and Memory Processes and Influences (22 papers). Mathias Weymar is often cited by papers focused on Memory and Neural Mechanisms (34 papers), Neural and Behavioral Psychology Studies (26 papers) and Memory Processes and Influences (22 papers). Mathias Weymar collaborates with scholars based in Germany, United States and Belgium. Mathias Weymar's co-authors include Alfons O. Hamm, Andreas Löw, Carlos Ventura‐Bort, Julia Wendt, Janine Wirkner, Florin Dolcos, Lars Schwabe, Rico Fischer, Margaret M. Bradley and Peter J. Lang and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mathias Weymar

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Weymar Germany 26 1.4k 528 445 312 259 82 2.0k
Julia Wendt Germany 24 811 0.6× 516 1.0× 201 0.5× 236 0.8× 182 0.7× 55 1.4k
Veronika Müller Germany 26 1.9k 1.3× 821 1.6× 202 0.5× 117 0.4× 333 1.3× 56 2.9k
Henry W. Chase United States 29 1.9k 1.3× 793 1.5× 250 0.6× 101 0.3× 279 1.1× 84 3.1k
Edna C. Cieslik Germany 22 1.9k 1.3× 546 1.0× 219 0.5× 75 0.2× 261 1.0× 42 2.4k
Hein J. F. van Marle Netherlands 18 1.5k 1.1× 710 1.3× 161 0.4× 225 0.7× 359 1.4× 35 2.6k
Jan R. Wessel United States 31 2.9k 2.1× 496 0.9× 273 0.6× 137 0.4× 307 1.2× 66 3.4k
Kymberly D. Young United States 20 1.2k 0.9× 504 1.0× 102 0.2× 152 0.5× 89 0.3× 41 1.7k
Katherine Nearing United States 11 1.6k 1.1× 657 1.2× 118 0.3× 296 0.9× 453 1.7× 13 2.6k
Lisa M. McTeague United States 28 1.6k 1.1× 1.2k 2.2× 647 1.5× 346 1.1× 198 0.8× 62 3.0k
Anna Zilverstand United States 20 1.1k 0.8× 524 1.0× 231 0.5× 97 0.3× 119 0.5× 45 1.7k

Countries citing papers authored by Mathias Weymar

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Weymar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Weymar

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Weymar. A scholar is included among the top collaborators of Mathias Weymar 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 Mathias Weymar. Mathias Weymar 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.
2.
Ventura‐Bort, Carlos, et al.. (2025). A pooled analysis of the side effects of non-invasive Transcutaneous Auricular Vagus Nerve Stimulation (taVNS). Frontiers in Human Neuroscience. 19. 1539416–1539416. 6 indexed citations
3.
Weymar, Mathias, et al.. (2024). Premenstrual syndrome is associated with differences in heart rate variability and attentional control throughout the menstrual cycle: A pilot study. International Journal of Psychophysiology. 204. 112374–112374. 3 indexed citations
4.
Wartenburger, Isabell, et al.. (2024). Are the P600 and P3 ERP components linked to the task‐evoked pupillary response as a correlate of norepinephrine activity?. Psychophysiology. 61(7). e14565–e14565. 4 indexed citations
5.
Weymar, Mathias, et al.. (2023). Ökonomische Erhebung prämenstrueller Symptomatik – Deutsche Übersetzung der Kurzversion der Premenstrual Assessment Form und deren psychometrische Überprüfung. PPmP - Psychotherapie · Psychosomatik · Medizinische Psychologie. 73(09/10). 405–412. 1 indexed citations
6.
Weymar, Mathias, et al.. (2023). The effect of a single-session heart rate variability biofeedback on attentional control: does stress matter?. Frontiers in Psychology. 14. 1292983–1292983. 7 indexed citations
7.
Ventura‐Bort, Carlos, et al.. (2022). Memory advantage for untrustworthy faces: Replication across lab- and web-based studies. PLoS ONE. 17(2). e0264034–e0264034. 5 indexed citations
8.
D’Agostini, Martina, Andreas M. Burger, Mathijs Franssen, et al.. (2021). Effects of transcutaneous auricular vagus nerve stimulation on reversal learning, tonic pupil size, salivary alpha‐amylase, and cortisol. Psychophysiology. 58(10). e13885–e13885. 36 indexed citations
9.
Michałowski, Jarosław M., et al.. (2020). Brain potentials reveal reduced attention and error-processing during a monetary Go/No-Go task in procrastination. Scientific Reports. 10(1). 19678–19678. 13 indexed citations
10.
Ventura‐Bort, Carlos, Julia Wendt, Janine Wirkner, et al.. (2020). Neural substrates of long-term item and source memory for emotional associates: An fMRI study. Neuropsychologia. 147. 107561–107561. 13 indexed citations
11.
Dolcos, Florin, Yuta Katsumi, Matthew Moore, et al.. (2019). Neural correlates of emotion-attention interactions: From perception, learning, and memory to social cognition, individual differences, and training interventions. Neuroscience & Biobehavioral Reviews. 108. 559–601. 138 indexed citations
12.
Mau‐Moeller, Anett, Martin Junge, Julia Wendt, et al.. (2019). Oral Contraceptives Impair Complex Emotion Recognition in Healthy Women. Frontiers in Neuroscience. 12. 1041–1041. 34 indexed citations
13.
Wendt, Julia, Mathias Weymar, Martin Junge, Alfons O. Hamm, & Alexander Lischke. (2018). Heartfelt memories: Cardiac vagal tone correlates with increased memory for untrustworthy faces.. Emotion. 19(1). 178–182. 14 indexed citations
14.
Ventura‐Bort, Carlos, Janine Wirkner, Hannah Genheimer, et al.. (2018). Effects of Transcutaneous Vagus Nerve Stimulation (tVNS) on the P300 and Alpha-Amylase Level: A Pilot Study. Frontiers in Human Neuroscience. 12. 202–202. 108 indexed citations
15.
Weymar, Mathias & Lars Schwabe. (2016). Amygdala and Emotion: The Bright Side of It. Frontiers in Neuroscience. 10. 224–224. 22 indexed citations
16.
Michałowski, Jarosław M., Mathias Weymar, & Alfons O. Hamm. (2014). Remembering the Object You Fear: Brain Potentials during Recognition of Spiders in Spider-Fearful Individuals. PLoS ONE. 9(10). e109537–e109537. 6 indexed citations
17.
Weymar, Mathias, et al.. (2013). Explicit and spontaneous retrieval of emotional scenes: Electrophysiological correlates.. Emotion. 13(5). 981–988. 11 indexed citations
18.
Weymar, Mathias, Andreas Löw, Arne Öhman, & Alfons O. Hamm. (2011). The face is more than its parts — Brain dynamics of enhanced spatial attention to schematic threat. NeuroImage. 58(3). 946–954. 52 indexed citations
19.
Weymar, Mathias, Andreas Löw, & Alfons O. Hamm. (2010). Emotional memories are resilient to time: Evidence from the parietal ERP old/new effect. Human Brain Mapping. 32(4). 632–640. 66 indexed citations
20.
Bandt, Christoph, Mathias Weymar, Daniel Samaga, & Alfons O. Hamm. (2009). A simple classification tool for single‐trial analysis of ERP components. Psychophysiology. 46(4). 747–757. 12 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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