Regina Margis

49 total papers · 1.2k total citations
25 papers, 815 citations indexed

About

Regina Margis is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Neurology. According to data from OpenAlex, Regina Margis has authored 25 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Clinical Psychology, 9 papers in Experimental and Cognitive Psychology and 6 papers in Neurology. Recurrent topics in Regina Margis's work include Sleep and related disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Regina Margis is often cited by papers focused on Sleep and related disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Regina Margis collaborates with scholars based in Brazil, United States and Canada. Regina Margis's co-authors include Carlos Roberto de Mello Rieder, Rogério Margis, Flávio Kapczinski, Aristides Volpato Cordioli, Elizeth Heldt, Gisele Gus Manfro, Suzana Veiga Schönwald, Eduardo Chachamovich, Karina Carvalho Donis and Eduardo S. Ghisolfi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Psychosomatic Research.

In The Last Decade

Regina Margis

22 papers receiving 775 citations

Author Peers

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

Author						Papers	Cites
Regina Margis	256	193	156	152	129	25	815
Anke R. Hammerschlag	170 0.7×	210 1.1×	167 1.1×	144 0.9×	36 0.3×	15	891
Bernard Sabbe	238 0.9×	89 0.5×	117 0.8×	42 0.3×	32 0.2×	34	998
Charles Curtis	184 0.7×	267 1.4×	130 0.8×	22 0.1×	28 0.2×	32	1.0k
Ricardo Cáceda	365 1.4×	160 0.8×	218 1.4×	83 0.5×	13 0.1×	56	1.0k
Mariya Gonik	165 0.6×	230 1.2×	90 0.6×	89 0.6×	18 0.1×	15	891
Xue Gao	379 1.5×	121 0.6×	45 0.3×	83 0.5×	15 0.1×	34	985
Line Olsen	144 0.6×	393 2.0×	111 0.7×	16 0.1×	228 1.8×	17	867
Pozi Liu	179 0.7×	185 1.0×	268 1.7×	16 0.1×	124 1.0×	49	887
Kara M. Smith	90 0.4×	89 0.5×	170 1.1×	535 3.5×	28 0.2×	27	870
Conrad Iyegbe	186 0.7×	118 0.6×	112 0.7×	126 0.8×	11 0.1×	33	898

Countries citing papers authored by Regina Margis

Since Specialization

Citations

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

Fields of papers citing papers by Regina Margis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Margis

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