Sarah C. Dahmann

56 total papers · 436 total citations
24 papers, 251 citations indexed

About

Sarah C. Dahmann is a scholar working on Sociology and Political Science, Experimental and Cognitive Psychology and Applied Psychology. According to data from OpenAlex, Sarah C. Dahmann has authored 24 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 9 papers in Experimental and Cognitive Psychology and 8 papers in Applied Psychology. Recurrent topics in Sarah C. Dahmann's work include Behavioral Health and Interventions (8 papers), Mental Health Research Topics (8 papers) and Intergenerational and Educational Inequality Studies (7 papers). Sarah C. Dahmann is often cited by papers focused on Behavioral Health and Interventions (8 papers), Mental Health Research Topics (8 papers) and Intergenerational and Educational Inequality Studies (7 papers). Sarah C. Dahmann collaborates with scholars based in Australia, Germany and Belgium. Sarah C. Dahmann's co-authors include Silke Anger, Deborah A. Cobb‐Clark, Daniel D. Schnitzlein, Nathan Kettlewell, Hannah Schildberg-Hörisch, Ferdi Botha, Nicolás Salamanca, Anna Zhu, Anne C. Gielen and Ralph Hertwig and has published in prestigious journals such as Annals of the New York Academy of Sciences, Social Science & Medicine and The Economic Journal.

In The Last Decade

Sarah C. Dahmann

22 papers receiving 235 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah C. Dahmann 76 76 58 49 43 24 251
Susanne Alm 67 0.9× 76 1.0× 52 0.9× 66 1.3× 56 1.3× 29 257
Felix Bittmann 77 1.0× 68 0.9× 56 1.0× 44 0.9× 21 0.5× 36 220
Ningyuan Guo 54 0.7× 150 2.0× 42 0.7× 75 1.5× 69 1.6× 24 288
Tamar Icekson 33 0.4× 97 1.3× 127 2.2× 105 2.1× 42 1.0× 22 328
Rimantas Vosylis 54 0.7× 143 1.9× 83 1.4× 73 1.5× 19 0.4× 34 320
Clarissa Cricenti 45 0.6× 111 1.5× 40 0.7× 98 2.0× 25 0.6× 19 281
Giulia Lausi 53 0.7× 116 1.5× 96 1.7× 139 2.8× 34 0.8× 31 324
Kokou A. Atitsogbe 85 1.1× 36 0.5× 78 1.3× 81 1.7× 28 0.7× 22 280
Weidong Wang 58 0.8× 65 0.9× 63 1.1× 85 1.7× 36 0.8× 15 291
Alexandra N. Fisher 23 0.3× 108 1.4× 116 2.0× 61 1.2× 43 1.0× 17 278

Countries citing papers authored by Sarah C. Dahmann

Since Specialization
Citations

This map shows the geographic impact of Sarah C. Dahmann'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 Sarah C. Dahmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah C. Dahmann more than expected).

Fields of papers citing papers by Sarah C. Dahmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Dahmann. 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 Sarah C. Dahmann. The network helps show where Sarah C. Dahmann may publish in the future.

Co-authorship network of co-authors of Sarah C. Dahmann

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

All Works

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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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