Maja Brydevall

413 total citations
9 papers, 189 citations indexed

About

Maja Brydevall is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Maja Brydevall has authored 9 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 3 papers in Applied Psychology. Recurrent topics in Maja Brydevall's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Behavioral Health and Interventions (3 papers). Maja Brydevall is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Neural and Behavioral Psychology Studies (4 papers) and Behavioral Health and Interventions (3 papers). Maja Brydevall collaborates with scholars based in Australia, United Kingdom and United States. Maja Brydevall's co-authors include Stefan Bode, Daniel Bennett, Carsten Murawski, Murat Yücel, Lucy Albertella, Rico S. C. Lee, Chao Suo, Daniel Feuerriegel, Samuel R. Chamberlain and Carmen Morawetz and has published in prestigious journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews and PLoS Computational Biology.

In The Last Decade

Maja Brydevall

8 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maja Brydevall Australia	6	91	81	34	28	27	9	189
Lindsay E. Hunter United States	5	166 1.8×	71 0.9×	24 0.7×	38 1.4×	32 1.2×	5	223
Eoin Travers United Kingdom	9	142 1.6×	45 0.6×	56 1.6×	45 1.6×	20 0.7×	19	253
Luís Oliveira United States	7	86 0.9×	45 0.6×	131 3.9×	31 1.1×	12 0.4×	8	259
Monica T. Francisco United States	8	94 1.0×	21 0.3×	34 1.0×	22 0.8×	12 0.4×	10	208
Laura Silva Switzerland	6	133 1.5×	22 0.3×	13 0.4×	36 1.3×	21 0.8×	11	190
Nicholaus P. Brosowsky United States	10	212 2.3×	98 1.2×	25 0.7×	22 0.8×	13 0.5×	23	245
Nicholas P. Carruth United States	5	92 1.0×	97 1.2×	12 0.4×	40 1.4×	23 0.9×	7	203
Vladimir Chituc United States	7	152 1.7×	42 0.5×	7 0.2×	64 2.3×	57 2.1×	11	219
Uli Bromberg Germany	6	52 0.6×	81 1.0×	56 1.6×	25 0.9×	7 0.3×	7	165
Ljubica Lozo Germany	9	135 1.5×	75 0.9×	5 0.1×	86 3.1×	28 1.0×	9	216

Countries citing papers authored by Maja Brydevall

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maja Brydevall

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Brydevall. A scholar is included among the top collaborators of Maja Brydevall 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 Maja Brydevall. Maja Brydevall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Brydevall, Maja, et al.. (2025). The role of psychological distress in understanding the relationship between habitual decision-making and addictive behaviors. Journal of Psychiatric Research. 184. 297–306.

Albertella, Lucy, Samuel R. Chamberlain, Chao Suo, et al.. (2024). A comprehensive evaluation of the neurocognitive predictors of problematic alcohol use, eating, pornography, and internet use: A 6-month longitudinal study. Journal of Behavioral Addictions. 13(3). 823–840. 3 indexed citations

Brydevall, Maja, et al.. (2023). Neurocognitive predictors of addiction-related outcomes: A systematic review of longitudinal studies. Neuroscience & Biobehavioral Reviews. 152. 105295–105295. 14 indexed citations

Lee, Rico S. C., Lucy Albertella, Chao Suo, et al.. (2023). A Novel, Expert-Endorsed, Neurocognitive Digital Assessment Tool for Addictive Disorders: Development and Validation Study. Journal of Medical Internet Research. 25. e44414–e44414. 6 indexed citations

Albertella, Lucy, Samuel R. Chamberlain, Maja Brydevall, et al.. (2023). The neurocognitive correlates of non-substance addictive behaviors. Addictive Behaviors. 150. 107904–107904. 5 indexed citations

Brydevall, Maja, et al.. (2021). General and specific graphic health warning labels reduce willingness to consume sugar-sweetened beverages. Appetite. 161. 105141–105141. 8 indexed citations

Brydevall, Maja, et al.. (2020). Neural patterns during anticipation predict emotion regulation success for reappraisal. Cognitive Affective & Behavioral Neuroscience. 20(4). 888–900. 11 indexed citations

Brydevall, Maja, Daniel Bennett, Carsten Murawski, & Stefan Bode. (2018). The neural encoding of information prediction errors during non-instrumental information seeking. Scientific Reports. 8(1). 6134–6134. 60 indexed citations

Bennett, Daniel, et al.. (2016). Intrinsic Valuation of Information in Decision Making under Uncertainty. PLoS Computational Biology. 12(7). e1005020–e1005020. 82 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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