K. Dantendorfer

52 total papers · 850 total citations
29 papers, 496 citations indexed

About

K. Dantendorfer is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, K. Dantendorfer has authored 29 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 8 papers in Cognitive Neuroscience and 7 papers in Clinical Psychology. Recurrent topics in K. Dantendorfer's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Sleep and related disorders (4 papers). K. Dantendorfer is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Sleep and related disorders (4 papers). K. Dantendorfer collaborates with scholars based in Austria, Germany and United States. K. Dantendorfer's co-authors include P. Anderer, B. Saletu, Michaela Amering, Gabriele Sachs, Daniela Prayer, Thomas H. Helbich, H. Imhof, H. Katschnig, Edith Hofer and S. Youssefzadeh and has published in prestigious journals such as Radiology, The British Journal of Psychiatry and Behaviour Research and Therapy.

In The Last Decade

K. Dantendorfer

29 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
K. Dantendorfer	212	198	108	106	51	29	496
Vera Zamoscik	245 1.2×	203 1.0×	94 0.9×	74 0.7×	42 0.8×	20	486
Adina S. Fischer	237 1.1×	136 0.7×	113 1.0×	150 1.4×	46 0.9×	20	544
Florence B. Pomares	287 1.4×	131 0.7×	94 0.9×	107 1.0×	46 0.9×	25	576
Yara J. Toenders	212 1.0×	140 0.7×	181 1.7×	100 0.9×	60 1.2×	19	471
Angela Pisoni	137 0.6×	235 1.2×	167 1.5×	96 0.9×	87 1.7×	18	500
Harry R. Smolker	341 1.6×	137 0.7×	125 1.2×	66 0.6×	47 0.9×	25	572
Qingmei Kong	223 1.1×	132 0.7×	114 1.1×	71 0.7×	60 1.2×	19	458
Ke Zhao	192 0.9×	114 0.6×	137 1.3×	109 1.0×	78 1.5×	34	496
Wu Jeong Hwang	209 1.0×	101 0.5×	132 1.2×	117 1.1×	54 1.1×	26	519
Jean‐Baptiste Pochon	383 1.8×	179 0.9×	56 0.5×	88 0.8×	53 1.0×	17	580

Countries citing papers authored by K. Dantendorfer

Since Specialization

Citations

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

Fields of papers citing papers by K. Dantendorfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Dantendorfer

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