Nicole V. Brown

57 total papers · 1.5k total citations
38 papers, 916 citations indexed

About

Nicole V. Brown is a scholar working on Psychiatry and Mental health, Clinical Psychology and Cognitive Neuroscience. According to data from OpenAlex, Nicole V. Brown has authored 38 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 8 papers in Clinical Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Nicole V. Brown's work include Attention Deficit Hyperactivity Disorder (8 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers) and Autism Spectrum Disorder Research (6 papers). Nicole V. Brown is often cited by papers focused on Attention Deficit Hyperactivity Disorder (8 papers), Child and Adolescent Psychosocial and Emotional Development (7 papers) and Autism Spectrum Disorder Research (6 papers). Nicole V. Brown collaborates with scholars based in United States, Australia and Canada. Nicole V. Brown's co-authors include Reinie Cordier, Yu‐Wei Chen, Theodoros N. Teknos, Matthew Old, L. Eugene Arnold, Michael G. Aman, Robert R. Rice, Kristin A. Buchan-Page, James W. McAuley and Enver Özer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Nicole V. Brown

37 papers receiving 894 citations

Author Peers

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

Author						Papers	Cites
Nicole V. Brown	222	216	182	156	147	38	916
P. Laippala	100 0.5×	203 0.9×	96 0.5×	85 0.5×	200 1.4×	22	1.2k
P Harris	105 0.5×	123 0.6×	62 0.3×	72 0.5×	133 0.9×	28	1.0k
Mary Pipan	152 0.7×	105 0.5×	138 0.8×	318 2.0×	142 1.0×	27	1.0k
Richard W. Olmsted	114 0.5×	120 0.6×	399 2.2×	37 0.2×	130 0.9×	34	1.2k
Linda Casey	109 0.5×	36 0.2×	101 0.6×	80 0.5×	161 1.1×	39	996
Laura Deckx	158 0.7×	82 0.4×	122 0.7×	27 0.2×	73 0.5×	40	1.2k
Gary Latchford	130 0.6×	41 0.2×	249 1.4×	52 0.3×	158 1.1×	54	908
Kate Lifford	197 0.9×	55 0.3×	290 1.6×	66 0.4×	32 0.2×	36	928
Philip Twumasi‐Ankrah	138 0.6×	55 0.3×	79 0.4×	44 0.3×	47 0.3×	19	946
Lydia King	148 0.7×	355 1.6×	305 1.7×	11 0.1×	234 1.6×	25	1.0k

Countries citing papers authored by Nicole V. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Nicole V. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole V. Brown

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