Reina S. Factor

37 total papers · 771 total citations
27 papers, 483 citations indexed

About

Reina S. Factor is a scholar working on Clinical Psychology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Reina S. Factor has authored 27 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Clinical Psychology, 23 papers in Cognitive Neuroscience and 14 papers in Psychiatry and Mental health. Recurrent topics in Reina S. Factor's work include Autism Spectrum Disorder Research (23 papers), Family and Disability Support Research (19 papers) and Child Nutrition and Feeding Issues (11 papers). Reina S. Factor is often cited by papers focused on Autism Spectrum Disorder Research (23 papers), Family and Disability Support Research (19 papers) and Child Nutrition and Feeding Issues (11 papers). Reina S. Factor collaborates with scholars based in United States, Russia and Bulgaria. Reina S. Factor's co-authors include Angela Scarpa, Julee P. Farley, Emma Condy, Thomas H. Ollendick, Ligia Antezana, Sarah Ryan, Deanna Swain, Marlene V. Strege, John A. Richey and Nuri Reyes and has published in prestigious journals such as Journal of Autism and Developmental Disorders, Developmental Medicine & Child Neurology and Biological Psychology.

In The Last Decade

Reina S. Factor

27 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Reina S. Factor	393	311	182	91	71	27	483
Nora Choque Olsson	417 1.1×	323 1.0×	142 0.8×	102 1.1×	102 1.4×	19	502
Rachael A. Muscatello	422 1.1×	303 1.0×	171 0.9×	132 1.5×	56 0.8×	32	536
Melissa Maye	389 1.0×	301 1.0×	127 0.7×	88 1.0×	83 1.2×	21	465
Nicole L. Matthews	409 1.0×	350 1.1×	109 0.6×	136 1.5×	78 1.1×	28	526
Lindsey W. Williams	335 0.9×	207 0.7×	188 1.0×	72 0.8×	72 1.0×	27	470
June L. Chen	392 1.0×	290 0.9×	218 1.2×	56 0.6×	53 0.7×	15	541
Rebecca McNally Keehn	394 1.0×	240 0.8×	128 0.7×	76 0.8×	87 1.2×	34	513
Paula Morales‐Hidalgo	245 0.6×	147 0.5×	213 1.2×	85 0.9×	62 0.9×	30	434
Wenn Lawson	428 1.1×	331 1.1×	121 0.7×	104 1.1×	51 0.7×	34	518
Lars Klintwall	438 1.1×	285 0.9×	181 1.0×	85 0.9×	142 2.0×	25	541

Countries citing papers authored by Reina S. Factor

Since Specialization

Citations

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

Fields of papers citing papers by Reina S. Factor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reina S. Factor. 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 Reina S. Factor. The network helps show where Reina S. Factor may publish in the future.

Co-authorship network of co-authors of Reina S. Factor

This figure shows the co-authorship network connecting the top 25 collaborators of Reina S. Factor. A scholar is included among the top collaborators of Reina S. Factor 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 Reina S. Factor. Reina S. Factor 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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