Maria Barth

875 total citations
10 papers, 673 citations indexed

About

Maria Barth is a scholar working on Social Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Maria Barth has authored 10 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Cognitive Neuroscience and 3 papers in Clinical Psychology. Recurrent topics in Maria Barth's work include COVID-19 and Mental Health (2 papers), Neuroendocrine regulation and behavior (2 papers) and Grit, Self-Efficacy, and Motivation (1 paper). Maria Barth is often cited by papers focused on COVID-19 and Mental Health (2 papers), Neuroendocrine regulation and behavior (2 papers) and Grit, Self-Efficacy, and Motivation (1 paper). Maria Barth collaborates with scholars based in United States, Germany and China. Maria Barth's co-authors include Vinod Menon, Vanessa L. Malcarne, Hitha Amin, Sarah S. Wu, Miriam Rosenberg‐Lee, Frances S. Chen, Susan Johnson, Ian H. Gotlib, Stephen L. Johnson and Carol S. Dweck and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Maria Barth

10 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Barth United States	7	251	248	232	206	165	10	673
Maria Carmen Usai Italy	16	273 1.1×	64 0.3×	282 1.2×	218 1.1×	379 2.3×	50	969
Emma Blakey United Kingdom	11	182 0.7×	84 0.3×	207 0.9×	51 0.2×	94 0.6×	20	477
Claudia Maehler Germany	12	194 0.8×	34 0.1×	176 0.8×	283 1.4×	314 1.9×	19	846
Carmen Belacchi Italy	15	115 0.5×	190 0.8×	198 0.9×	74 0.4×	180 1.1×	49	742
Jeffrey S. Reznick United States	11	184 0.7×	192 0.8×	169 0.7×	43 0.2×	99 0.6×	35	662
Daniela Kloo Austria	14	192 0.8×	238 1.0×	427 1.8×	88 0.4×	194 1.2×	26	986
Megan Kozak United States	8	246 1.0×	302 1.2×	288 1.2×	28 0.1×	38 0.2×	9	669
Stéphanie Caillies France	16	305 1.2×	135 0.5×	253 1.1×	13 0.1×	68 0.4×	33	651
Pascale Engel de Abreu Luxembourg	14	236 0.9×	71 0.3×	571 2.5×	148 0.7×	176 1.1×	33	1.1k
Sophie Jacques Canada	12	154 0.6×	80 0.3×	329 1.4×	95 0.5×	213 1.3×	27	848

Countries citing papers authored by Maria Barth

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Maria Barth

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

All Works

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10 of 10 papers shown

Barth, Maria, et al.. (2023). Impact of the COVID-19 pandemic on overweight children and adolescents: influence of lockdown and school closure on childhood obesity. SHILAP Revista de lepidopterología. 13(2). 1 indexed citations

Weiß, Martin, Jürgen Deckert, Mirjam Kohls, et al.. (2023). Differential network interactions between psychosocial factors, mental health, and health-related quality of life in women and men. Scientific Reports. 13(1). 11642–11642. 5 indexed citations

Gelbrich, Götz, Benedikt Weißbrich, Lars Dölken, et al.. (2021). Seroprävalenz von COVID-19 und psychosoziale Auswirkungen in der Allgemeinbevölkerung: Ergebnisse des STAAB-COVID-One Programms. Das Gesundheitswesen. 83(12). 965–975. 2 indexed citations

Masicampo, E. J., Maria Barth, & Nalini Ambady. (2014). Group-based discrimination in judgments of moral purity-related behaviors: Experimental and archival evidence.. Journal of Experimental Psychology General. 143(6). 2135–2152. 12 indexed citations

Uddin, Lucina Q., Kaustubh Supekar, Charles J. Lynch, et al.. (2014). Brain State Differentiation and Behavioral Inflexibility in Autism. Cerebral Cortex. 25(12). 4740–4747. 111 indexed citations

Ma, Yina, et al.. (2013). The Neural Basis of Contextual Influences on Face Categorization. Cerebral Cortex. 25(2). 415–422. 27 indexed citations

Wu, Sarah S., Maria Barth, Hitha Amin, Vanessa L. Malcarne, & Vinod Menon. (2012). Math Anxiety in Second and Third Graders and Its Relation to Mathematics Achievement. Frontiers in Psychology. 3. 162–162. 217 indexed citations

Rosenberg‐Lee, Miriam, Maria Barth, & Vinod Menon. (2011). What difference does a year of schooling make?. NeuroImage. 57(3). 796–808. 125 indexed citations

Chen, Frances S., Maria Barth, Stephen L. Johnson, Ian H. Gotlib, & Susan Johnson. (2011). Oxytocin Receptor (OXTR) Polymorphisms and Attachment in Human Infants. Frontiers in Psychology. 2. 200–200. 83 indexed citations

10.

Johnson, Susan, et al.. (2010). At the Intersection of Social and Cognitive Development: Internal Working Models of Attachment in Infancy. Cognitive Science. 34(5). 807–825. 90 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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