Verena Barbieri

63 total papers · 985 total citations
42 papers, 627 citations indexed

About

Verena Barbieri is a scholar working on General Health Professions, Clinical Psychology and Health. According to data from OpenAlex, Verena Barbieri has authored 42 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 11 papers in Clinical Psychology and 8 papers in Health. Recurrent topics in Verena Barbieri's work include COVID-19 and Mental Health (9 papers), Vaccine Coverage and Hesitancy (8 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Verena Barbieri is often cited by papers focused on COVID-19 and Mental Health (9 papers), Vaccine Coverage and Hesitancy (8 papers) and Child and Adolescent Psychosocial and Emotional Development (5 papers). Verena Barbieri collaborates with scholars based in Italy, Austria and Germany. Verena Barbieri's co-authors include Christian J. Wiedermann, Giuliano Piccoliori, Adolf Engl, Barbara Plagg, Axel Ullrich, Markus Reschke, Markus Hutterer, Nadia Stefanova, Guenther Stockhammer and Hans Maier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Verena Barbieri

34 papers receiving 581 citations

Author Peers

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

Author						Papers	Cites
Verena Barbieri	172	133	122	84	73	42	627
Alex Siu Wing Chan	159 0.9×	196 1.5×	184 1.5×	43 0.5×	54 0.7×	40	640
Sangita M. Baxi	158 0.9×	107 0.8×	133 1.1×	56 0.7×	46 0.6×	30	626
Anna Larsson	78 0.5×	146 1.1×	199 1.6×	135 1.6×	27 0.4×	39	694
Ibtissam Youlyouz‐Marfak	132 0.8×	136 1.0×	159 1.3×	37 0.4×	47 0.6×	39	693
Bobak Moazzami	91 0.5×	67 0.5×	109 0.9×	132 1.6×	105 1.4×	47	754
David P. Sheridan	90 0.5×	264 2.0×	103 0.8×	49 0.6×	31 0.4×	32	687
Anagha Kumar	116 0.7×	81 0.6×	218 1.8×	190 2.3×	30 0.4×	38	643
Ying Lin	126 0.7×	203 1.5×	220 1.8×	27 0.3×	41 0.6×	41	654
Francesco De Stefano	96 0.6×	65 0.5×	107 0.9×	52 0.6×	35 0.5×	67	633
Miguel Sampedro‐Núñez	96 0.6×	125 0.9×	114 0.9×	88 1.0×	89 1.2×	49	687

Countries citing papers authored by Verena Barbieri

Since Specialization

Citations

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

Fields of papers citing papers by Verena Barbieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Barbieri

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