Daniela Pajardi

20 papers and 550 indexed citations i.

About

Daniela Pajardi is a scholar working on Clinical Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Daniela Pajardi has authored 20 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Psychology, 10 papers in Social Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Daniela Pajardi’s work include COVID-19 and Mental Health (7 papers), Resilience and Mental Health (6 papers) and Deception detection and forensic psychology (6 papers). Daniela Pajardi is often cited by papers focused on COVID-19 and Mental Health (7 papers), Resilience and Mental Health (6 papers) and Deception detection and forensic psychology (6 papers). Daniela Pajardi collaborates with scholars based in Italy, Iceland and United Kingdom. Daniela Pajardi's co-authors include Monia Vagni, Tiziana Maiorano, Valeria Giostra, Gisli H. Gudjónsson, Luca Simione, Giuseppe Bersani, Paul T. Bartone, Patrizia Catellani, Mauro Bertolotti and Vittorio Lingiardi and has published in prestigious journals such as Personality and Individual Differences, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Daniela Pajardi i

Fields of papers citing papers by Daniela Pajardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Pajardi

Since Specialization
Citations

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

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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2025