Daniela Altavilla
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Cognitive Neuroscience top 10%
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
Papers in
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- Neural and Behavioral Psychology Studies 5
- Face Recognition and Perception 3
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- Attachment and Relationship Dynamics 2
- Co-authors
- Paola Aceto (15 shared papers)Carlo Lai (16 shared papers)Marco Cecchini (6 shared papers)Massimiliano Luciani (6 shared papers)Letizia Palumbo (2 shared papers)Ines Adornetti (14 shared papers)Alessandra Chiera (14 shared papers)Gaia Romana Pellicano (7 shared papers)
In The Last Decade
Daniela Altavilla
27 papers receiving 319 citations
Peers
Comparison fields: 5 of 48
- Applied Psychology 46
- Cognitive Neuroscience 99
- Experimental and Cognitive Psychology 64
- Literature and Literary Theory 41
- Clinical Psychology 62
Countries citing papers authored by Daniela Altavilla
This map shows the geographic impact of Daniela Altavilla'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 Altavilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Altavilla more than expected).
Fields of papers citing papers by Daniela Altavilla
This network shows the impact of papers produced by Daniela Altavilla. 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 Altavilla. The network helps show where Daniela Altavilla may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Altavilla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 129 | |
| 2 | 2013 | 28 | |
| 3 | 2017 | 24 | |
| 4 | 2014 | 19 | |
| 5 | 2017 | 18 | |
| 6 | 2018 | 14 | |
| 7 | 2020 | 10 | |
| 8 | 2018 | 8 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2018 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Daniela Altavilla
Daniela Altavilla is a scholar working on Cognitive Neuroscience, Social Psychology, Clinical Psychology, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 30 papers that have together received 328 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), Reading and Literacy Development (4 papers), Personality Disorders and Psychopathology (3 papers), Psychosomatic Disorders and Their Treatments (3 papers), Media Influence and Health (3 papers), Face Recognition and Perception (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers) and Attachment and Relationship Dynamics (2 papers). The work is most often cited by research in Applied Psychology (46 citations), Cognitive Neuroscience (99 citations), Experimental and Cognitive Psychology (64 citations), Literature and Literary Theory (41 citations) and Clinical Psychology (62 citations). Daniela Altavilla has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Paola Aceto, Carlo Lai, Marco Cecchini, Massimiliano Luciani, Letizia Palumbo, Ines Adornetti, Alessandra Chiera, Gaia Romana Pellicano, Renata Tambelli and Francesco Ferretti. Their work appears in journals such as Cognitive Affective & Behavioral Neuroscience, Social Neuroscience, Frontiers in Psychology, Experimental Brain Research and Language & Communication.
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.