Daiana Colledani

579 total citations
36 papers, 361 citations indexed

About

Daiana Colledani is a scholar working on Social Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Daiana Colledani has authored 36 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Social Psychology, 13 papers in Clinical Psychology and 9 papers in Sociology and Political Science. Recurrent topics in Daiana Colledani's work include Child and Adolescent Psychosocial and Emotional Development (5 papers), Job Satisfaction and Organizational Behavior (5 papers) and Mental Health Research Topics (4 papers). Daiana Colledani is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (5 papers), Job Satisfaction and Organizational Behavior (5 papers) and Mental Health Research Topics (4 papers). Daiana Colledani collaborates with scholars based in Italy, United States and Israel. Daiana Colledani's co-authors include Pasquale Anselmi, Egidio Robusto, Alessandro De Carlo, Alessandra Falco, Laura Dal Corso, Rossella Falvo, Anna Maria Meneghini, Andrea Ciani, Gian Antonio Di Bernardo and Dora Capozza and has published in prestigious journals such as PLoS ONE, Scientific Reports and Personality and Individual Differences.

In The Last Decade

Daiana Colledani

30 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daiana Colledani Italy 10 106 96 60 55 53 36 361
Kevin M. Kieffer United States 13 177 1.7× 105 1.1× 52 0.9× 38 0.7× 56 1.1× 20 535
Brian T Keller United States 9 106 1.0× 93 1.0× 95 1.6× 16 0.3× 48 0.9× 19 551
Stephen J. Leierer United States 12 87 0.8× 155 1.6× 70 1.2× 26 0.5× 67 1.3× 44 455
Pedro M. Hontangas Spain 12 119 1.1× 160 1.7× 62 1.0× 28 0.5× 47 0.9× 22 456
Sunthud Pornprasertmanit United States 8 159 1.5× 145 1.5× 93 1.6× 35 0.6× 41 0.8× 11 528
Yumei Li China 11 101 1.0× 67 0.7× 144 2.4× 50 0.9× 51 1.0× 26 386
Saskia Kunnen Netherlands 11 139 1.3× 104 1.1× 107 1.8× 36 0.7× 133 2.5× 26 518
Yunkyoung Loh Garrison United States 10 102 1.0× 90 0.9× 82 1.4× 17 0.3× 55 1.0× 35 323
Cristina Anguiano‐Carrasco Spain 11 210 2.0× 180 1.9× 95 1.6× 33 0.6× 43 0.8× 26 502

Countries citing papers authored by Daiana Colledani

Since Specialization
Citations

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

Fields of papers citing papers by Daiana Colledani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiana Colledani

This figure shows the co-authorship network connecting the top 25 collaborators of Daiana Colledani. A scholar is included among the top collaborators of Daiana Colledani 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 Daiana Colledani. Daiana Colledani 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
1.
Colledani, Daiana, Mario Mikulincer, Phillip R. Shaver, & Anna Maria Meneghini. (2025). Using the K‐Means Node Clustering Method and ROC Curve Analysis to Define Cut‐Off Scores for the Caregiving System Scale. International Journal of Psychology. 60(2). e70038–e70038. 1 indexed citations
2.
Colledani, Daiana, Claudio Barbaranelli, & Pasquale Anselmi. (2025). Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time. Scientific Reports. 15(1). 6492–6492. 2 indexed citations
3.
Broeck, Anja Van den, et al.. (2024). Validation of the German work-related basic need satisfaction scale (W-BNS-G). Current Psychology. 43(47). 36315–36332. 1 indexed citations
4.
Colledani, Daiana, et al.. (2024). Investigating the Functioning of Rating Scales With Rasch Models. Assessment. 32(3). 434–446.
5.
Capozza, Dora, Daiana Colledani, & Rossella Falvo. (2024). Are job characteristics associated with patient (de)humanization through the mediation of health providers’ well‐being?. Journal of Applied Social Psychology. 54(10). 589–602.
6.
7.
Colledani, Daiana, Egidio Robusto, & Pasquale Anselmi. (2024). Assessing key soft skills in organizational contexts: development and validation of the multiple soft skills assessment tool. Frontiers in Psychology. 15. 1405822–1405822.
8.
9.
Ciani, Andrea & Daiana Colledani. (2024). Worldwide study reveals fluid sexual preferences in females and no association between gynephilia and non-heterosexuality. The Journal of Sexual Medicine. 22(1). 57–68.
10.
Colledani, Daiana, Pasquale Anselmi, & Egidio Robusto. (2023). Development of a scale for capturing psychological aspects of physical–digital integration: relationships with psychosocial functioning and facial emotion recognition. AI & Society. 39(4). 1707–1719. 3 indexed citations
11.
Fiabane, Elena, et al.. (2023). Attitude towards Intranasal Vaccines and Psychological Determinants: Effects on the General Population in Northern Italy. Vaccines. 11(1). 138–138. 4 indexed citations
12.
Colledani, Daiana, Lucia Monacis, Egidio Robusto, et al.. (2023). Validation of the HRI-24 on Adolescents and Development of a Short Version of the Instrument. International Journal of Mental Health and Addiction. 22(6). 4072–4089. 2 indexed citations
13.
Colledani, Daiana, Pasquale Anselmi, & Egidio Robusto. (2023). Machine learning-decision tree classifiers in psychiatric assessment: An application to the diagnosis of major depressive disorder. Psychiatry Research. 322. 115127–115127. 15 indexed citations
14.
Devita, Maria, Daiana Colledani, Pasquale Anselmi, et al.. (2021). Religious assessment in Italian older adults: psychometric properties of the Francis Scale of Attitude toward Christianity and the Behavioral Religiosity Scale. Experimental Aging Research. 47(5). 478–493. 4 indexed citations
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16.
Colledani, Daiana & Andrea Ciani. (2020). A Worldwide Internet Study Based on Implicit Association Test Revealed a Higher Prevalence of Adult Males' Androphilia than Ever Reported Before. The Journal of Sexual Medicine. 18(1). 4–16. 8 indexed citations
17.
Corso, Laura Dal, et al.. (2020). Employee burnout and positive dimensions of well-being: A latent workplace spirituality profile analysis. PLoS ONE. 15(11). e0242267–e0242267. 36 indexed citations
18.
Carlo, Alessandro De, et al.. (2020). Positive Supervisor Behaviors and Employee Performance: The Serial Mediation of Workplace Spirituality and Work Engagement. Frontiers in Psychology. 11. 1834–1834. 45 indexed citations
19.
Anselmi, Pasquale, Daiana Colledani, & Egidio Robusto. (2019). A Comparison of Classical and Modern Measures of Internal Consistency. Frontiers in Psychology. 10. 2714–2714. 82 indexed citations
20.
Colledani, Daiana, Pasquale Anselmi, & Egidio Robusto. (2018). Using Item Response Theory for the Development of a New Short Form of the Eysenck Personality Questionnaire-Revised. Frontiers in Psychology. 9. 1834–1834. 31 indexed citations

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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