Giovanni Rubeis

706 citations
41 papers · 361 indexed · h-index 10
Topics
Digital Mental Health Interventions (9 papers)Ethics and Social Impacts of AI (6 papers)Mental Health Treatment and Access (6 papers)
Partner nations
GermanyAustriaItaly

In The Last Decade

Giovanni Rubeis

36 papers receiving 344 citations

Peers

Giovanni Rubeis
Comparison fields: 5 of 85
  • Public Health, Environmental and Occupational Health 95
  • General Health Professions 69
  • Health Informatics 63
  • Applied Psychology 58
  • Safety Research 39
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Teresa K. O’Leary United States
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Andria Bianchi Canada
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Jean‐Christophe Bélisle‐Pipon Canada
Ji Youn Shin United States
Ilaria Durosini Italy
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Citations per field
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Citations per year

Countries citing papers authored by Giovanni Rubeis

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Rubeis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Rubeis

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Rubeis. A scholar is included among the top collaborators of Giovanni Rubeis 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 Giovanni Rubeis. Giovanni Rubeis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 3
5 1
6 3
7 4
8 6
9 2
10 12
11 42
12
Strange bedfellows. The unlikely alliance between artificial intelligence and narrative medicine
1
13 9
14 5
15
Internet- und mobilgestützte Interventionen bei psychischen Störungen: Implementierung in Deutschland aus ethischer Sicht
4
16 1
17 9
18 40
19 6
20 14

About Giovanni Rubeis

Giovanni Rubeis is a scholar working on Applied Psychology, Health Informatics and Safety Research, having authored 41 papers that have together received 361 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (9 papers), Ethics and Social Impacts of AI (6 papers) and Mental Health Treatment and Access (6 papers). The work is most often cited by research in Health Informatics (63 citations), Applied Psychology (58 citations) and Neuropsychology and Physiological Psychology (10 citations). Giovanni Rubeis has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Florian Steger, Andrew Sixsmith, Mei Lan Fang, Andreas Guenther, T Ventura, Katia Cannita, Enrico Ricevuto, Corrado Ficorella, Stefano Martinotti and Alessandra Tessitore. Their work appears in journals such as Social Science & Medicine, Annals of Oncology and Frontiers in Genetics.

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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