Aurora D’Atri
Impact in
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- Sleep and related disorders
- Sleep and Work-Related Fatigue
- Cognitive Neuroscience top 2%
- Sleep and Wakefulness Research
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Sleep and Wakefulness Research 43
- EEG and Brain-Computer Interfaces 30
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- Sleep and related disorders 38
- Sleep and Work-Related Fatigue 9
- Co-authors
- Luigi De Gennaro (48 shared papers)Maurizio Gorgoni (41 shared papers)Michèle Ferrara (42 shared papers)Serena Scarpelli (39 shared papers)Giorgio Ausiello (2 shared papers)Federico Salfi (15 shared papers)Paolo Maria Rossini (13 shared papers)Daniela Tempesta (9 shared papers)
In The Last Decade
Aurora D’Atri
73 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 123
- Experimental and Cognitive Psychology 1.0k
- Cognitive Neuroscience 1.2k
- Endocrine and Autonomic Systems 339
- Neurology 133
- Clinical Psychology 236
Countries citing papers authored by Aurora D’Atri
This map shows the geographic impact of Aurora D’Atri'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 Aurora D’Atri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurora D’Atri more than expected).
Fields of papers citing papers by Aurora D’Atri
This network shows the impact of papers produced by Aurora D’Atri. 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 Aurora D’Atri. The network helps show where Aurora D’Atri may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurora D’Atri, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 128 | |
| 2 | 2016 | 120 | |
| 3 | 2019 | 91 | |
| 4 | 2017 | 84 | |
| 5 | 2014 | 63 | |
| 6 | 1986 | 61 | |
| 7 | 2020 | 59 | |
| 8 | 2013 | 57 | |
| 9 | 2021 | 57 | |
| 10 | 2021 | 57 | |
| 11 | 2019 | 55 | |
| 12 | 2021 | 52 | |
| 13 | 2021 | 49 | |
| 14 | 2017 | 43 | |
| 15 | 2021 | 42 | |
| 16 | 2018 | 42 | |
| 17 | 2017 | 42 | |
| 18 | 2017 | 40 | |
| 19 | 2020 | 35 | |
| 20 | 2019 | 33 |
About Aurora D’Atri
Aurora D’Atri is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Networks and Communications, Neurology and Clinical Psychology, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (43 papers), Sleep and related disorders (38 papers), EEG and Brain-Computer Interfaces (30 papers), Sleep and Work-Related Fatigue (9 papers), Transcranial Magnetic Stimulation Studies (9 papers), Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (8 papers) and COVID-19 and Mental Health (8 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.0k citations), Cognitive Neuroscience (1.2k citations), Endocrine and Autonomic Systems (339 citations), Neurology (133 citations) and Clinical Psychology (236 citations). Aurora D’Atri has collaborated with scholars based in Italy, Japan and Belgium. Frequent co-authors include Luigi De Gennaro, Maurizio Gorgoni, Michèle Ferrara, Serena Scarpelli, Giorgio Ausiello, Federico Salfi, Paolo Maria Rossini, Daniela Tempesta, Valentina Alfonsi and Giulia Lauri. Their work appears in journals such as Sleep Medicine, Journal of Sleep Research, Scientific Reports, International Journal of Environmental Research and Public Health and SLEEP.
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.