Danny Azucar

842 total citations · 1 hit paper
9 papers, 431 citations indexed

About

Danny Azucar is a scholar working on Social Psychology, Sociology and Political Science and Clinical Psychology. According to data from OpenAlex, Danny Azucar has authored 9 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Sociology and Political Science and 2 papers in Clinical Psychology. Recurrent topics in Danny Azucar's work include Mental Health via Writing (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). Danny Azucar is often cited by papers focused on Mental Health via Writing (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Substance Abuse Treatment and Outcomes (2 papers). Danny Azucar collaborates with scholars based in Italy, Sweden and United States. Danny Azucar's co-authors include Michele Settanni, Davide Marengo, Paola De Bernardi, Claudio Longobardi, Anna Mulasso, Valerio Basile, Mattia Roppolo, Fabrizia Giannotta, Emanuela Rabaglietti and Michele D. Kipke and has published in prestigious journals such as Personality and Individual Differences, Cyberpsychology Behavior and Social Networking and Heliyon.

In The Last Decade

Danny Azucar

9 papers receiving 412 citations

Hit Papers

Predicting the Big 5 personality traits from digital foot... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Azucar Italy 7 171 135 87 74 72 9 431
Annika Baumann Germany 13 246 1.4× 67 0.5× 43 0.5× 55 0.7× 36 0.5× 34 457
Han Lin Singapore 9 354 2.1× 135 1.0× 122 1.4× 102 1.4× 71 1.0× 27 621
Joanne Hinds United Kingdom 11 357 2.1× 93 0.7× 65 0.7× 100 1.4× 43 0.6× 27 640
Pinar Ozturk United States 8 304 1.8× 56 0.4× 121 1.4× 72 1.0× 24 0.3× 13 519
Suku Sukunesan Australia 12 150 0.9× 79 0.6× 41 0.5× 24 0.3× 20 0.3× 41 450
Alex Leavitt United States 11 362 2.1× 74 0.5× 91 1.0× 93 1.3× 22 0.3× 19 565
Moongee Jeon United States 6 160 0.9× 41 0.3× 123 1.4× 202 2.7× 50 0.7× 28 590
Shaojung Sharon Wang Taiwan 10 367 2.1× 42 0.3× 56 0.6× 41 0.6× 37 0.5× 17 496
Raquel Lozano-Blasco Spain 14 317 1.9× 139 1.0× 208 2.4× 49 0.7× 58 0.8× 33 684
Tae Rang Choi United States 7 307 1.8× 82 0.6× 68 0.8× 82 1.1× 21 0.3× 10 436

Countries citing papers authored by Danny Azucar

Since Specialization
Citations

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

Fields of papers citing papers by Danny Azucar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Azucar

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

All Works

9 of 9 papers shown
1.
Azucar, Danny, et al.. (2023). A Dose of Truth: A Qualitative Assessment of Reactions to Messages about Fentanyl for People Who Use Drugs. Substance Use & Misuse. 58(4). 520–527. 6 indexed citations
2.
Azucar, Danny, et al.. (2022). Combining the HYM (Healthy Young Men’s) Cohort Study and the TRUTH (A Trans Youth of Color Study): Protocol for an Expanded Mixed Methods Study Renewal. JMIR Research Protocols. 11(11). e39232–e39232. 1 indexed citations
3.
Marengo, Davide, Danny Azucar, Claudio Longobardi, & Michele Settanni. (2020). Mining Facebook data for Quality of Life assessment. Behaviour and Information Technology. 40(6). 597–607. 12 indexed citations
4.
Marengo, Davide, Danny Azucar, Fabrizia Giannotta, Valerio Basile, & Michele Settanni. (2019). Exploring the association between problem drinking and language use on Facebook in young adults. Heliyon. 5(10). e02523–e02523. 12 indexed citations
5.
Bernardi, Paola De & Danny Azucar. (2019). Innovation in Food Ecosystems. Contributions to management science. 22 indexed citations
6.
Azucar, Danny & Paola De Bernardi. (2019). Innovation in Food Ecosystems: Entrepreneurship for a Sustainable Future. 4 indexed citations
7.
Settanni, Michele, Danny Azucar, & Davide Marengo. (2018). Predicting Individual Characteristics from Digital Traces on Social Media: A Meta-Analysis. Cyberpsychology Behavior and Social Networking. 21(4). 217–228. 65 indexed citations
8.
Azucar, Danny, Davide Marengo, & Michele Settanni. (2017). Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis. Personality and Individual Differences. 124. 150–159. 300 indexed citations breakdown →
9.
Mulasso, Anna, et al.. (2017). Emotion experience and frailty in a sample of Italian community-dwelling older adults. Clinical Interventions in Aging. Volume 12. 2017–2024. 9 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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