Caroline Diehl

30 total papers · 661 total citations
16 papers, 157 citations indexed

About

Caroline Diehl is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Caroline Diehl has authored 16 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 5 papers in Clinical Psychology. Recurrent topics in Caroline Diehl's work include Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (6 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Caroline Diehl is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Mental Health Research Topics (6 papers) and Child and Adolescent Psychosocial and Emotional Development (3 papers). Caroline Diehl collaborates with scholars based in United States, Slovenia and Germany. Caroline Diehl's co-authors include John D. Murray, Alan Anticevic, Grega Repovš, John H. Krystal, Aleksandar Savić, Vinod H. Srihari, Youngsun Cho, Godfrey D. Pearlson, Genevieve Yang and Jie Lisa Ji and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Biological Psychiatry and Psychological Science.

In The Last Decade

Caroline Diehl

15 papers receiving 155 citations

Author Peers

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

Author						Papers	Cites
Caroline Diehl	98	40	34	29	23	16	157
Amelie Haugg	127 1.3×	42 1.1×	35 1.0×	16 0.6×	26 1.1×	16	208
Ileana Andriola	61 0.6×	63 1.6×	36 1.1×	26 0.9×	27 1.2×	14	220
Ana Munjiza	82 0.8×	40 1.0×	35 1.0×	25 0.9×	17 0.7×	15	225
Jaisalmer de Frutos‐Lucas	100 1.0×	79 2.0×	30 0.9×	24 0.8×	15 0.7×	20	221
Petra Kalember	67 0.7×	46 1.1×	65 1.9×	36 1.2×	25 1.1×	11	246
Irene Voldsbekk	104 1.1×	36 0.9×	45 1.3×	67 2.3×	15 0.7×	20	227
Nooshin Javaheripour	122 1.2×	33 0.8×	79 2.3×	28 1.0×	15 0.7×	11	207
Qijing Yu	171 1.7×	43 1.1×	33 1.0×	24 0.8×	34 1.5×	15	275
Anja Richter	83 0.8×	57 1.4×	26 0.8×	26 0.9×	28 1.2×	11	178
Alexandra Tanner	128 1.3×	46 1.1×	53 1.6×	29 1.0×	31 1.3×	15	270

Countries citing papers authored by Caroline Diehl

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Diehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Diehl. 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 Caroline Diehl. The network helps show where Caroline Diehl may publish in the future.

Co-authorship network of co-authors of Caroline Diehl

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Diehl. A scholar is included among the top collaborators of Caroline Diehl 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 Caroline Diehl. Caroline Diehl 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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