Matteo Malgaroli

1.5k total citations · 1 hit paper
40 papers, 879 citations indexed

About

Matteo Malgaroli is a scholar working on Clinical Psychology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Matteo Malgaroli has authored 40 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Psychology, 13 papers in Social Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Matteo Malgaroli's work include Mental Health Research Topics (11 papers), Mental Health via Writing (9 papers) and Digital Mental Health Interventions (8 papers). Matteo Malgaroli is often cited by papers focused on Mental Health Research Topics (11 papers), Mental Health via Writing (9 papers) and Digital Mental Health Interventions (8 papers). Matteo Malgaroli collaborates with scholars based in United States, Australia and Hong Kong. Matteo Malgaroli's co-authors include George A. Bonanno, Fiona Maccallum, Thomas D. Hull, Naomi M. Simon, Kristin L. Szuhany, Tim Althoff, Wai Kai Hou, Bonnie K. Ray, Isaac R. Galatzer‐Levy and Katharina Schultebraucks and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biological Psychiatry.

In The Last Decade

Matteo Malgaroli

38 papers receiving 858 citations

Hit Papers

Natural language processing for mental health interventio... 2023 2026 2024 2025 2023 20 40 60

Peers

Matteo Malgaroli
Comparison fields: 5 of 90
  • Clinical Psychology 490
  • Experimental and Cognitive Psychology 236
  • Social Psychology 169
  • Public Health, Environmental and Occupational Health 155
  • Applied Psychology 126
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Mohammadreza Shalbafan Iran View profile →
Citations per field, relative to Matteo Malgaroli
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Citations per year, relative to Matteo Malgaroli
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Countries citing papers authored by Matteo Malgaroli

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Malgaroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Malgaroli

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Malgaroli. A scholar is included among the top collaborators of Matteo Malgaroli 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 Matteo Malgaroli. Matteo Malgaroli 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
# Work Indexed citations
1 10
2 2
3 0
4 7
5 5
6 10
7 4
8 3
9 2
10 10
11 1
12 27
13 8
14 18
15 29
16 22
17 13
18 70
19 13
20 2

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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