Michelle Riba

118 total papers · 1.8k total citations
55 papers, 1.1k citations indexed

About

Michelle Riba is a scholar working on Social Psychology, Clinical Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michelle Riba has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Social Psychology, 13 papers in Clinical Psychology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michelle Riba's work include Mental Health Treatment and Access (12 papers), Mental Health and Psychiatry (10 papers) and Schizophrenia research and treatment (6 papers). Michelle Riba is often cited by papers focused on Mental Health Treatment and Access (12 papers), Mental Health and Psychiatry (10 papers) and Schizophrenia research and treatment (6 papers). Michelle Riba collaborates with scholars based in United States, Italy and United Kingdom. Michelle Riba's co-authors include Luigi Grassi, Rosangela Caruso, Maria Giulia Nanni, Peg Esper, Bruce G. Redman, Peter C. Trask, Alex J. Mitchell, Maria Alejandra Berardi, Augusto Caraceni and Andrew G. Shuman and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Psychiatry and Journal of Affective Disorders.

In The Last Decade

Michelle Riba

50 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Riba 349 189 173 148 134 55 1.1k
Sara Carletto 629 1.8× 173 0.9× 194 1.1× 125 0.8× 140 1.0× 60 1.2k
Rute F. Meneses 235 0.7× 195 1.0× 122 0.7× 106 0.7× 113 0.8× 47 939
Isabel Silva 266 0.8× 122 0.6× 141 0.8× 142 1.0× 169 1.3× 101 1.1k
Linda Kwakkenbos 411 1.2× 148 0.8× 143 0.8× 159 1.1× 166 1.2× 103 1.4k
Paul Graham Morris 313 0.9× 107 0.6× 143 0.8× 124 0.8× 121 0.9× 47 975
Christine Littlefield 286 0.8× 198 1.0× 158 0.9× 195 1.3× 149 1.1× 27 1.2k
Jingping Zhang 480 1.4× 252 1.3× 127 0.7× 125 0.8× 183 1.4× 74 1.2k
Concepción Fernández 265 0.8× 96 0.5× 110 0.6× 116 0.8× 140 1.0× 59 1.1k
Chiung‐Yu Huang 236 0.7× 96 0.5× 255 1.5× 180 1.2× 153 1.1× 49 1.1k
Emily P. Taylor 560 1.6× 193 1.0× 102 0.6× 168 1.1× 203 1.5× 34 1.2k

Countries citing papers authored by Michelle Riba

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Riba

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