Miriam Parise

109 total papers · 4.1k total citations
45 papers, 657 citations indexed

About

Miriam Parise is a scholar working on Social Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Miriam Parise has authored 45 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Social Psychology, 15 papers in Clinical Psychology and 12 papers in Sociology and Political Science. Recurrent topics in Miriam Parise's work include Attachment and Relationship Dynamics (27 papers), Family Dynamics and Relationships (12 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Miriam Parise is often cited by papers focused on Attachment and Relationship Dynamics (27 papers), Family Dynamics and Relationships (12 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Miriam Parise collaborates with scholars based in Italy, Switzerland and United Kingdom. Miriam Parise's co-authors include Silvia Donato, Ariela Francesca Pagani, Raffaella Iafrate, Anna Bertoni, Dominik Schoebi, Elena Canzi, Laura Ferrari, Maria Giulia Olivari, Catrin Finkenauer and Guy Bodenmann and has published in prestigious journals such as Personality and Social Psychology Bulletin, Personality and Individual Differences and Frontiers in Psychology.

In The Last Decade

Miriam Parise

39 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Miriam Parise	421	270	196	109	93	45	657
Anna Bertoni	474 1.1×	298 1.1×	267 1.4×	181 1.7×	63 0.7×	50	727
Victoria del Barrio	386 0.9×	542 2.0×	102 0.5×	46 0.4×	136 1.5×	41	777
Katherine J. W. Baucom	274 0.7×	236 0.9×	112 0.6×	77 0.7×	75 0.8×	39	603
S. J. Bailey	168 0.4×	181 0.7×	254 1.3×	116 1.1×	64 0.7×	37	605
Shayne R. Anderson	377 0.9×	405 1.5×	164 0.8×	119 1.1×	61 0.7×	60	639
Élise Chartrand	339 0.8×	228 0.8×	134 0.7×	73 0.7×	88 0.9×	27	625
Martina Smorti	233 0.6×	323 1.2×	156 0.8×	51 0.5×	61 0.7×	72	772
Erica Bennett	155 0.4×	167 0.6×	102 0.5×	42 0.4×	70 0.8×	36	702
Shengquan Ye	257 0.6×	175 0.6×	120 0.6×	24 0.2×	150 1.6×	37	590
Cynthia S. Levine	327 0.8×	156 0.6×	283 1.4×	22 0.2×	92 1.0×	27	757

Countries citing papers authored by Miriam Parise

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Parise

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Parise

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