Giulia Righi

50 total papers · 962 total citations
24 papers, 619 citations indexed

About

Giulia Righi is a scholar working on Cognitive Neuroscience, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Giulia Righi has authored 24 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 12 papers in Clinical Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Giulia Righi's work include Autism Spectrum Disorder Research (11 papers), Face Recognition and Perception (7 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Giulia Righi is often cited by papers focused on Autism Spectrum Disorder Research (11 papers), Face Recognition and Perception (7 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Giulia Righi collaborates with scholars based in United States, Brazil and Netherlands. Giulia Righi's co-authors include Michael J. Tarr, Charles A. Nelson, Carla A. Mazefsky, Matthew Siegel, Jessie J. Peissig, Stephen J. Sheinkopf, Adrienne Tierney, Helen Tager‐Flusberg, Caitlin M. Conner and Rebecca C. Shaffer and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Giulia Righi

24 papers receiving 605 citations

Author Peers

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

Author						Papers	Cites
Giulia Righi	507	184	125	119	115	24	619
Rachel Reetzke	345 0.7×	96 0.5×	85 0.7×	141 1.2×	55 0.5×	29	501
Carlijn van den Boomen	340 0.7×	74 0.4×	108 0.9×	92 0.8×	39 0.3×	27	548
Catherine Manning	501 1.0×	135 0.7×	50 0.4×	178 1.5×	63 0.5×	45	639
Janine Spencer	532 1.0×	61 0.3×	71 0.6×	225 1.9×	86 0.7×	16	645
Louise Neil	410 0.8×	215 1.2×	60 0.5×	158 1.3×	83 0.7×	23	523
Bonnie Wong	373 0.7×	158 0.9×	120 1.0×	53 0.4×	74 0.6×	19	544
Cécilie Rondan	573 1.1×	161 0.9×	66 0.5×	215 1.8×	45 0.4×	16	655
Martha Turner	472 0.9×	85 0.5×	102 0.8×	72 0.6×	188 1.6×	20	658
Quentin Guillon	519 1.0×	161 0.9×	35 0.3×	124 1.0×	66 0.6×	12	571
Kiyoshi Yaguchi	551 1.1×	62 0.3×	105 0.8×	203 1.7×	51 0.4×	12	587

Countries citing papers authored by Giulia Righi

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Righi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Righi

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