Fabrizio Didonna

20 total papers · 877 total citations
13 papers, 524 citations indexed

About

Fabrizio Didonna is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Fabrizio Didonna has authored 13 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Clinical Psychology, 8 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Fabrizio Didonna's work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers), Mindfulness and Compassion Interventions (8 papers) and Obsessive-Compulsive Spectrum Disorders (7 papers). Fabrizio Didonna is often cited by papers focused on Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers), Mindfulness and Compassion Interventions (8 papers) and Obsessive-Compulsive Spectrum Disorders (7 papers). Fabrizio Didonna collaborates with scholars based in Italy, China and Netherlands. Fabrizio Didonna's co-authors include Luca Iani, Marco Lauriola, Valentina Cafaro, Roberta Rossi, Clarissa Ferrari, Mariangela Lanfredi, Laura Pedrini, Francesca D’Olimpio, Francesco Mancini and Rocco Micciolo and has published in prestigious journals such as Journal of Anxiety Disorders, Comprehensive Psychiatry and Frontiers in Psychiatry.

In The Last Decade

Fabrizio Didonna

12 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Fabrizio Didonna	471	202	118	64	59	13	524
Nathan E. Fisher	417 0.9×	124 0.6×	125 1.1×	74 1.2×	47 0.8×	7	521
Lucy Tan	352 0.7×	187 0.9×	108 0.9×	40 0.6×	27 0.5×	14	488
Alessio Matiz	380 0.8×	122 0.6×	107 0.9×	82 1.3×	49 0.8×	32	494
Nicholas Olendzki	469 1.0×	230 1.1×	118 1.0×	76 1.2×	42 0.7×	6	614
C. Alex Brake	379 0.8×	184 0.9×	135 1.1×	81 1.3×	71 1.2×	22	509
Joana Costa	477 1.0×	159 0.8×	139 1.2×	37 0.6×	72 1.2×	17	597
Frederik Haarig	479 1.0×	191 0.9×	181 1.5×	118 1.8×	58 1.0×	11	609
Jay K. Brinker	357 0.8×	285 1.4×	102 0.9×	57 0.9×	49 0.8×	21	581
Michael R. Riquino	316 0.7×	174 0.9×	91 0.8×	90 1.4×	54 0.9×	26	566
Stefan K. Schmertz	371 0.8×	252 1.2×	150 1.3×	83 1.3×	54 0.9×	11	589

Countries citing papers authored by Fabrizio Didonna

Since Specialization

Citations

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

Fields of papers citing papers by Fabrizio Didonna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Didonna

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