Amanda M. Kutz

18 total papers · 490 total citations
15 papers, 328 citations indexed

About

Amanda M. Kutz is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Amanda M. Kutz has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Experimental and Cognitive Psychology, 5 papers in Clinical Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Amanda M. Kutz's work include Behavioral Health and Interventions (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Amanda M. Kutz is often cited by papers focused on Behavioral Health and Interventions (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers) and Neural and Behavioral Psychology Studies (3 papers). Amanda M. Kutz collaborates with scholars based in United States and Canada. Amanda M. Kutz's co-authors include Robin M. Masheb, Julie A. Dumas, Magdalena R. Naylor, Paul Newhouse, Craig G. Gunderson, Shira Maguen, Julia V. Johnson, Erin C. Marshall, Brenna C. McDonald and Andrew J. Saykin and has published in prestigious journals such as NeuroImage, Personality and Individual Differences and Journal of General Internal Medicine.

In The Last Decade

Amanda M. Kutz

15 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Amanda M. Kutz 153 77 63 60 50 15 328
Areti C. Spyropoulou 100 0.7× 83 1.1× 53 0.8× 108 1.8× 29 0.6× 19 345
Marta Creus 85 0.6× 30 0.4× 136 2.2× 83 1.4× 23 0.5× 17 288
Sarah R. Blumenthal 85 0.6× 124 1.6× 108 1.7× 23 0.4× 34 0.7× 12 361
Alyssa Sbisa 66 0.4× 42 0.5× 69 1.1× 53 0.9× 34 0.7× 18 354
Katharina Widenhorn‐Müller 90 0.6× 93 1.2× 62 1.0× 17 0.3× 30 0.6× 11 341
Farid Benzerouk 115 0.8× 75 1.0× 39 0.6× 33 0.6× 52 1.0× 31 354
Mine Şahingöz 114 0.7× 138 1.8× 45 0.7× 34 0.6× 20 0.4× 24 333
Sylwia Fudalej 145 0.9× 55 0.7× 37 0.6× 11 0.2× 33 0.7× 22 349
Agnieszka Bratek 44 0.3× 43 0.6× 49 0.8× 46 0.8× 54 1.1× 22 332
Tanya Goltser‐Dubner 86 0.6× 38 0.5× 28 0.4× 27 0.5× 17 0.3× 13 339

Countries citing papers authored by Amanda M. Kutz

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. Kutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda M. Kutz. 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 Amanda M. Kutz. The network helps show where Amanda M. Kutz may publish in the future.

Co-authorship network of co-authors of Amanda M. Kutz

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda M. Kutz. A scholar is included among the top collaborators of Amanda M. Kutz 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 Amanda M. Kutz. Amanda M. Kutz 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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