Maja Brydevall
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
-
- Psychological and Educational Research Studies
Papers in
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- Neural and Behavioral Psychology Studies 3
- Neural dynamics and brain function 1
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 3
- Mental Health Research Topics 2
- Co-authors
- Stefan Bode (4 shared papers)Daniel Bennett (2 shared papers)Carsten Murawski (2 shared papers)Lucy Albertella (5 shared papers)Murat Yücel (5 shared papers)Rico S. C. Lee (4 shared papers)Chao Suo (4 shared papers)Peter Koval (1 shared paper)
- Journals
- Journal of Medical Internet Research (1 paper)PLoS Computational Biology (1 paper)Cognitive Affective & Behavioral Neuroscience (1 paper)Addictive Behaviors (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Maja Brydevall
9 papers receiving 216 citations
Peers
Comparison fields: 5 of 49
- General Decision Sciences 36
- Experimental and Cognitive Psychology 88
- Cognitive Neuroscience 102
- Applied Psychology 19
- Developmental and Educational Psychology 37
Countries citing papers authored by Maja Brydevall
This map shows the geographic impact of Maja Brydevall'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 Maja Brydevall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Brydevall more than expected).
Fields of papers citing papers by Maja Brydevall
This network shows the impact of papers produced by Maja Brydevall. 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 Maja Brydevall. The network helps show where Maja Brydevall may publish in the future.
Co-authors
The 19 scholars most cited alongside Maja Brydevall, 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 | 2016 | 102 | |
| 2 | 2018 | 79 | |
| 3 | 2023 | 17 | |
| 4 | 2020 | 13 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2025 | 1 |
About Maja Brydevall
Maja Brydevall is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Clinical Psychology, Applied Psychology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 237 indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Neural and Behavioral Psychology Studies (3 papers), Behavioral Health and Interventions (2 papers), Mental Health Research Topics (2 papers), Sexuality, Behavior, and Technology (2 papers), Obesity, Physical Activity, Diet (1 paper), Neural dynamics and brain function (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in General Decision Sciences (36 citations), Experimental and Cognitive Psychology (88 citations), Cognitive Neuroscience (102 citations), Applied Psychology (19 citations) and Developmental and Educational Psychology (37 citations). Maja Brydevall has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Stefan Bode, Daniel Bennett, Carsten Murawski, Lucy Albertella, Murat Yücel, Rico S. C. Lee, Chao Suo, Peter Koval, Samuel R. Chamberlain and Daniel Feuerriegel. Their work appears in journals such as Journal of Medical Internet Research, PLoS Computational Biology, Cognitive Affective & Behavioral Neuroscience, Addictive Behaviors and Scientific Reports.
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.