Michelle Riba

1.8k citations
55 papers · 1.1k · h-index 16

Impact in

Papers in

Michelle Riba

51 papers receiving 1.0k citations

Peers

Michelle Riba
Comparison fields: 5 of 117
  • Biological Psychiatry 48
  • Clinical Psychology 271
  • Psychiatry and Mental health 141
  • Applied Psychology 40
  • Critical Care and Intensive Care Medicine 32
Replace Donna M. Posluszny with:
Donna M. Posluszny United States
Nor Zuraida Zainal Malaysia
Melissa Chan Hong Kong
Sun Jae Jung South Korea
Mingyu Fan United States
Jordi Mundó Spain
Min‐Jung Wang United States
Takashi Hosaka Japan
Patricia Stockton United States
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Citations per field
00.5×4.6×
Donna M. Posluszny · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michelle Riba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Riba Line = papers co-authored together Michelle Riba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015238
2 2000147
3 201593
4 202058
5 201755
6 201452
7 200737
8 201734
9 201933
10 201927
11 202026
12 201725
13 201022
14 202121
15 202120
16 201518
17
Psychopharmacology and psychotherapy : a collaborative approach
199914
18 202214
19
The Doctor-Patient Relationship in Pharmacotherapy: Improving Treatment Effectiveness
200014
20 202212

About Michelle Riba

Michelle Riba is a scholar working on Social Psychology, Philosophy, Clinical Psychology, Psychiatry and Mental health and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mental Health Treatment and Access (11 papers), Mental Health and Psychiatry (10 papers), Schizophrenia research and treatment (6 papers), Psychotherapy Techniques and Applications (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Palliative Care and End-of-Life Issues (3 papers), Child and Adolescent Health (3 papers) and Pharmaceutical industry and healthcare (2 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Clinical Psychology (271 citations), Psychiatry and Mental health (141 citations), Applied Psychology (40 citations) and Critical Care and Intensive Care Medicine (32 citations). Michelle Riba has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Luigi Grassi, Maria Giulia Nanni, Rosangela Caruso, Bruce G. Redman, Peg Esper, Peter C. Trask, Alex J. Mitchell, Maria Alejandra Berardi, Augusto Caraceni and Joshua D. Smith. Their work appears in journals such as Current Psychiatry Reports, American Journal of Psychiatry, World Psychiatry, Academic Psychiatry and Psycho-Oncology.

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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