Danielle V. Dellarco

10 total papers · 3.0k total citations
8 papers, 414 citations indexed

About

Danielle V. Dellarco is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Danielle V. Dellarco has authored 8 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 2 papers in Clinical Psychology. Recurrent topics in Danielle V. Dellarco's work include Neural and Behavioral Psychology Studies (4 papers), Functional Brain Connectivity Studies (4 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Danielle V. Dellarco is often cited by papers focused on Neural and Behavioral Psychology Studies (4 papers), Functional Brain Connectivity Studies (4 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Danielle V. Dellarco collaborates with scholars based in United States. Danielle V. Dellarco's co-authors include B.J. Casey, Alexandra O. Cohen, Kaitlyn Breiner, Jason Chein, Adriana Galván, Marc D. Rudolph, Kim Taylor‐Thompson, Jennifer A. Richeson, Damien A. Fair and Richard J. Bonnie and has published in prestigious journals such as PLoS ONE, Psychological Science and Journal of Cognitive Neuroscience.

In The Last Decade

Danielle V. Dellarco

8 papers receiving 401 citations

Author Peers

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

Author						Papers	Cites
Danielle V. Dellarco	204	130	117	84	42	8	414
A. Katinka L. von Borries	204 1.0×	207 1.6×	119 1.0×	127 1.5×	50 1.2×	10	412
Lisa Simon	130 0.6×	103 0.8×	178 1.5×	75 0.9×	30 0.7×	9	376
David R. W. Bachhuber	224 1.1×	127 1.0×	100 0.9×	82 1.0×	18 0.4×	8	417
Kristen Joan Anderson	141 0.7×	88 0.7×	167 1.4×	113 1.3×	36 0.9×	11	421
Verena Ly	152 0.7×	201 1.5×	161 1.4×	127 1.5×	25 0.6×	15	448
Franziska Dambacher	251 1.2×	139 1.1×	86 0.7×	115 1.4×	32 0.8×	7	428
Anthony S. Gabay	222 1.1×	108 0.8×	140 1.2×	191 2.3×	57 1.4×	13	491
Victoria Choate	205 1.0×	222 1.7×	236 2.0×	123 1.5×	23 0.5×	6	449
Chad E. Forbes	275 1.3×	60 0.5×	109 0.9×	136 1.6×	51 1.2×	15	463
John Madden	99 0.5×	174 1.3×	80 0.7×	67 0.8×	28 0.7×	16	475

Countries citing papers authored by Danielle V. Dellarco

Since Specialization

Citations

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

Fields of papers citing papers by Danielle V. Dellarco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle V. Dellarco. 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 Danielle V. Dellarco. The network helps show where Danielle V. Dellarco may publish in the future.

Co-authorship network of co-authors of Danielle V. Dellarco

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle V. Dellarco. A scholar is included among the top collaborators of Danielle V. Dellarco 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 Danielle V. Dellarco. Danielle V. Dellarco 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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