Francesca D’Errico
- Social Psychology top 2%
- Sociology and Political Science top 5%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Isabella PoggiMarinella PacielloAlessandro VinciarelliDirk HeylenMaja PantićManfred R. SchroederCatherine PélachaudBerardina De Carolis
- Topics
- Language, Metaphor, and Cognition (20 papers)Language, Discourse, Communication Strategies (17 papers)Misinformation and Its Impacts (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorInternational Journal of Environmental Research and Public Health
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Francesca D’Errico
84 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Social Psychology 435
- Sociology and Political Science 321
- Experimental and Cognitive Psychology 298
- Artificial Intelligence 272
- Cognitive Neuroscience 138
Countries citing papers authored by Francesca D’Errico
This map shows the geographic impact of Francesca D’Errico'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 Francesca D’Errico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca D’Errico more than expected).
Fields of papers citing papers by Francesca D’Errico
This network shows the impact of papers produced by Francesca D’Errico. 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 Francesca D’Errico. The network helps show where Francesca D’Errico may publish in the future.
Co-authorship network of co-authors of Francesca D’Errico
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca D’Errico. A scholar is included among the top collaborators of Francesca D’Errico 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 Francesca D’Errico. Francesca D’Errico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 37 | |
| 14 | 7 | |
| 15 | 34 | |
| 16 | 40 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 23 | |
| 20 | The lexicon of feeling offended | 2 |
About Francesca D’Errico
Francesca D’Errico is a scholar working on Communication, Experimental and Cognitive Psychology and Social Psychology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Language, Metaphor, and Cognition (20 papers), Language, Discourse, Communication Strategies (17 papers) and Misinformation and Its Impacts (16 papers). The work is most often cited by research in Experimental and Cognitive Psychology (298 citations), Human-Computer Interaction (124 citations) and Social Psychology (435 citations). Francesca D’Errico has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Isabella Poggi, Marinella Paciello, Alessandro Vinciarelli, Dirk Heylen, Maja Pantić, Manfred R. Schroeder, Catherine Pélachaud, Berardina De Carolis, Luca Cerniglia and Nicola Macchiarulo. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and International Journal of Environmental Research and Public Health.
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.