David Mathar
Impact in
- General Decision Sciences top 10%
- Applied Psychology top 5%
- Behavioral Health and Interventions
Papers in
-
- Neural and Behavioral Psychology Studies 11
- Functional Brain Connectivity Studies 3
- Neural dynamics and brain function 3
-
- Eating Disorders and Behaviors 7
- Co-authors
- Annette Horstmann (10 shared papers)Arno Villringer (9 shared papers)Jane Neumann (8 shared papers)Jan Peters (9 shared papers)Burkhard Pleger (2 shared papers)Antonius Wiehler (3 shared papers)Karima Chakroun (3 shared papers)Florian Ganzer (2 shared papers)
- Journals
- Cortex (2 papers)Appetite (2 papers)PLoS Computational Biology (2 papers)Scientific Reports (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
David Mathar
19 papers receiving 560 citations
Peers
Comparison fields: 5 of 67
- General Decision Sciences 36
- Applied Psychology 96
- Endocrine and Autonomic Systems 89
- Cognitive Neuroscience 245
- Clinical Psychology 195
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 | 124 | |
| 2 | 2014 | 87 | |
| 3 | 2020 | 66 | |
| 4 | 2016 | 52 | |
| 5 | 2017 | 35 | |
| 6 | 2017 | 34 | |
| 7 | 2016 | 31 | |
| 8 | 2018 | 27 | |
| 9 | 2016 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2025 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2025 | 0 |
About David Mathar
David Mathar is a scholar working on Cognitive Neuroscience, Clinical Psychology, Cellular and Molecular Neuroscience, Applied Psychology and Experimental and Cognitive Psychology, having authored 20 papers that have together received 566 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (11 papers), Eating Disorders and Behaviors (7 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Behavioral Health and Interventions (4 papers), Decision-Making and Behavioral Economics (3 papers), Mental Health Research Topics (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in General Decision Sciences (36 citations), Applied Psychology (96 citations), Endocrine and Autonomic Systems (89 citations), Cognitive Neuroscience (245 citations) and Clinical Psychology (195 citations). David Mathar has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Annette Horstmann, Arno Villringer, Jane Neumann, Jan Peters, Burkhard Pleger, Antonius Wiehler, Karima Chakroun, Florian Ganzer, Haiko Schlögl and Michael Stümvoll. Their work appears in journals such as Cortex, Appetite, PLoS Computational Biology, Scientific Reports and Journal of Neuroscience.
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.