David Mathar
Impact in
- Applied Psychology top 5%
- Behavioral Health and Interventions
- General Decision Sciences top 10%
Papers in
-
- Neural and Behavioral Psychology Studies 11
- Neural dynamics and brain function 2
-
- Eating Disorders and Behaviors 5
- Gambling Behavior and Treatments 2
- Co-authors
- Annette Horstmann (7 shared papers)Arno Villringer (6 shared papers)Jane Neumann (5 shared papers)Jan Peters (10 shared papers)Burkhard Pleger (2 shared papers)Karima Chakroun (3 shared papers)Antonius Wiehler (3 shared papers)Florian Ganzer (2 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Psychophysiology (1 paper)Computational Brain & Behavior (1 paper)Appetite (1 paper)eLife (1 paper)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
David Mathar
16 papers receiving 470 citations
Peers
Comparison fields: 5 of 70
- Applied Psychology 98
- General Decision Sciences 33
- Cognitive Neuroscience 177
- Endocrine and Autonomic Systems 51
- Clinical Psychology 123
Countries citing papers authored by David Mathar
This map shows the geographic impact of David Mathar'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 David Mathar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mathar more than expected).
Fields of papers citing papers by David Mathar
This network shows the impact of papers produced by David Mathar. 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 David Mathar. The network helps show where David Mathar may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mathar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 132 | |
| 2 | 2018 | 78 | |
| 3 | 2020 | 69 | |
| 4 | 2016 | 53 | |
| 5 | 2016 | 34 | |
| 6 | 2017 | 33 | |
| 7 | 2020 | 20 | |
| 8 | 2016 | 20 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2018 | 8 | |
| 14 | 2013 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2025 | 0 |
About David Mathar
David Mathar is a scholar working on Cognitive Neuroscience, Clinical Psychology, General Decision Sciences, Applied Psychology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 506 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (11 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Eating Disorders and Behaviors (5 papers), Behavioral Health and Interventions (3 papers), Decision-Making and Behavioral Economics (3 papers), Mental Health Research Topics (3 papers), Gambling Behavior and Treatments (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Applied Psychology (98 citations), General Decision Sciences (33 citations), Cognitive Neuroscience (177 citations), Endocrine and Autonomic Systems (51 citations) and Clinical Psychology (123 citations). David Mathar has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Annette Horstmann, Arno Villringer, Jane Neumann, Jan Peters, Burkhard Pleger, Karima Chakroun, Antonius Wiehler, Florian Ganzer, Haiko Schlögl and Arne Dietrich. Their work appears in journals such as PLoS Computational Biology, Psychophysiology, Computational Brain & Behavior, Appetite and eLife.
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.