Maria Barth
Impact in
- Statistics and Probability top 2%
- Cognitive and developmental aspects of mathematical skills
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- Education, Achievement, and Giftedness
Papers in
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- Neuroendocrine regulation and behavior 2
- Emotions and Moral Behavior 1
- Co-authors
- Vinod Menon (3 shared papers)Hitha Amin (1 shared paper)Sarah S. Wu (1 shared paper)Vanessa L. Malcarne (1 shared paper)Miriam Rosenberg‐Lee (1 shared paper)Susan Johnson (2 shared papers)Frances S. Chen (2 shared papers)Stephen L. Johnson (1 shared paper)
- Journals
- Cerebral Cortex (2 papers)Frontiers in Psychology (2 papers)Scientific Reports (1 paper)NeuroImage (1 paper)Cognitive Science (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Maria Barth
10 papers receiving 652 citations
Peers
Comparison fields: 5 of 67
- Statistics and Probability 206
- Experimental and Cognitive Psychology 251
- Social Psychology 248
- Cognitive Neuroscience 232
- Developmental and Educational Psychology 142
Countries citing papers authored by Maria Barth
This map shows the geographic impact of Maria Barth'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 Maria Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Barth more than expected).
Fields of papers citing papers by Maria Barth
This network shows the impact of papers produced by Maria Barth. 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 Maria Barth. The network helps show where Maria Barth may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Barth, 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 | 2012 | 217 | |
| 2 | 2011 | 125 | |
| 3 | 2014 | 111 | |
| 4 | 2010 | 90 | |
| 5 | 2011 | 83 | |
| 6 | 2013 | 27 | |
| 7 | 2014 | 12 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 1 |
About Maria Barth
Maria Barth is a scholar working on Social Psychology, Cognitive Neuroscience, Clinical Psychology, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 10 papers that have together received 673 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (2 papers), Neuroendocrine regulation and behavior (2 papers), Evolutionary Psychology and Human Behavior (1 paper), Long-Term Effects of COVID-19 (1 paper), Attention Deficit Hyperactivity Disorder (1 paper), Education, Achievement, and Giftedness (1 paper), Emotions and Moral Behavior (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Statistics and Probability (206 citations), Experimental and Cognitive Psychology (251 citations), Social Psychology (248 citations), Cognitive Neuroscience (232 citations) and Developmental and Educational Psychology (142 citations). Maria Barth has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Vinod Menon, Hitha Amin, Sarah S. Wu, Vanessa L. Malcarne, Miriam Rosenberg‐Lee, Susan Johnson, Frances S. Chen, Stephen L. Johnson, Ian H. Gotlib and Carol S. Dweck. Their work appears in journals such as Cerebral Cortex, Frontiers in Psychology, Scientific Reports, NeuroImage and Cognitive Science.
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.