Miriam S. Johnson

52 total papers · 847 total citations
37 papers, 509 citations indexed

About

Miriam S. Johnson is a scholar working on Clinical Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Miriam S. Johnson has authored 37 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Clinical Psychology, 10 papers in Cognitive Neuroscience and 8 papers in Social Psychology. Recurrent topics in Miriam S. Johnson's work include Child Abuse and Trauma (12 papers), Memory Processes and Influences (8 papers) and Deception detection and forensic psychology (6 papers). Miriam S. Johnson is often cited by papers focused on Child Abuse and Trauma (12 papers), Memory Processes and Influences (8 papers) and Deception detection and forensic psychology (6 papers). Miriam S. Johnson collaborates with scholars based in Norway, Australia and United Kingdom. Miriam S. Johnson's co-authors include Asle Hoffart, Omid V. Ebrahimi, Nora Skjerdingstad, Sverre Urnes Johnson, Gunn Astrid Baugerud, Pål Halvorsen, Michael A. Riegler, Svein Magnussen, Michael E. Lamb and Saeed Shafiee Sabet and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Miriam S. Johnson

35 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Miriam S. Johnson	232	103	101	96	96	37	509
Giovanni Piumatti	90 0.4×	150 1.5×	120 1.2×	68 0.7×	30 0.3×	57	607
Verónica Violant	228 1.0×	120 1.2×	54 0.5×	29 0.3×	30 0.3×	38	552
Mai Helmy	114 0.5×	124 1.2×	74 0.7×	20 0.2×	118 1.2×	62	494
Marie Izaute	109 0.5×	126 1.2×	83 0.8×	108 1.1×	142 1.5×	39	610
Sabine Völkl-Kernstock	171 0.7×	65 0.6×	157 1.6×	126 1.3×	85 0.9×	36	618
Eric Helmuth	193 0.8×	70 0.7×	74 0.7×	80 0.8×	23 0.2×	19	484
Damien Lekkas	183 0.8×	105 1.0×	50 0.5×	28 0.3×	26 0.3×	32	503
Mathieu Gagnon	93 0.4×	73 0.7×	57 0.6×	21 0.2×	98 1.0×	55	515
Jocelyn Kernot	111 0.5×	64 0.6×	154 1.5×	62 0.6×	40 0.4×	32	598
Guido R. Zanni	131 0.6×	105 1.0×	47 0.5×	8 0.1×	131 1.4×	64	490

Countries citing papers authored by Miriam S. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Miriam S. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam S. Johnson

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