Daniela Pajardi

960 total citations
25 papers, 658 citations indexed

About

Daniela Pajardi is a scholar working on Clinical Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Daniela Pajardi has authored 25 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 12 papers in Social Psychology and 7 papers in Cognitive Neuroscience. Recurrent topics in Daniela Pajardi's work include Deception detection and forensic psychology (8 papers), COVID-19 and Mental Health (7 papers) and Resilience and Mental Health (6 papers). Daniela Pajardi is often cited by papers focused on Deception detection and forensic psychology (8 papers), COVID-19 and Mental Health (7 papers) and Resilience and Mental Health (6 papers). Daniela Pajardi collaborates with scholars based in Italy, United Kingdom and Iceland. Daniela Pajardi's co-authors include Monia Vagni, Tiziana Maiorano, Valeria Giostra, Gisli H. Gudjónsson, Luca Simione, Giuseppe Bersani, Camilla Gnagnarella, Paul T. Bartone, Mauro Bertolotti and Patrizia Catellani 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

Daniela Pajardi

22 papers receiving 632 citations

Peers

Daniela Pajardi
Comparison fields: 5 of 73
  • Clinical Psychology 432
  • General Health Professions 226
  • Social Psychology 166
  • Cognitive Neuroscience 116
  • Sociology and Political Science 104
Replace Monia Vagni with:
Monia Vagni Italy
Diana Miconi Canada
Sarah Spencer Canada
Tiziana Maiorano Italy
JohnBosco Chika Chukwuorji Nigeria
Ji Hyun Lee United States
Vasiliki Aliki Nikopoulou Greece
Wei-Hsin Lu Taiwan
Annette K. Griffith United States
Long Huang China
Monia Vagni Italy View profile →
Citations per field, relative to Daniela Pajardi
Daniela Pajardi · 1×
Citations per year, relative to Daniela Pajardi
Daniela Pajardi · 1×

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).

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.

Co-authorship network of co-authors of Daniela Pajardi

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Pajardi. A scholar is included among the top collaborators of Daniela Pajardi 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 Daniela Pajardi. Daniela Pajardi 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
# Work Indexed citations
1 1
2 15
3 3
4 24
5 7
6 22
7 7
8 83
9 57
10 31
11 18
12 11
13 41
14 76
15 4
16 155
17 16
18 0
19 4
20
Resoconti della condotta nelle deposizioni giudiziarie: analisi dei repertori linguistici
2

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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