Aurora D’Atri

3.0k citations
81 papers · 2.0k · h-index 29

Impact in

Papers in

Aurora D’Atri

73 papers receiving 1.9k citations

Peers

Aurora D’Atri
Comparison fields: 5 of 118
  • Experimental and Cognitive Psychology 833
  • Cognitive Neuroscience 1.0k
  • Endocrine and Autonomic Systems 271
  • Neurology 109
  • Clinical Psychology 175
Replace Jin‐Hun Sohn with:
Jin‐Hun Sohn South Korea
Jaime S. Ide United States
Matthew R. Nassar United States
Herbert Bauer Austria
Xu Lei China
Petra Ritter Germany
Edward P. Chronicle United Kingdom
Diego Vidaurre United Kingdom
Shane T. Mueller United States
Guangyu Zhou United States
Aurora D’Atri relative to Jin‐Hun Sohn South Korea Jin‐Hun Sohn's profile →
Citations per field
00.5×4.6×
Jin‐Hun Sohn · 1×
Citations per year

Countries citing papers authored by Aurora D’Atri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Aurora D’Atri Line = papers co-authored together Aurora D’Atri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980127
2 2016123
3 201994
4 201784
5 202067
6 201466
7 198662
8 202161
9 202158
10 201357
11 201955
12 202153
13 202150
14 202143
15 201743
16 201842
17 201742
18 201741
19 202035
20 201634

About Aurora D’Atri

Aurora D’Atri is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Networks and Communications, Signal Processing and Clinical Psychology, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (40 papers), Sleep and related disorders (32 papers), EEG and Brain-Computer Interfaces (23 papers), Advanced Database Systems and Queries (9 papers), Data Management and Algorithms (8 papers), COVID-19 and Mental Health (7 papers), Sleep and Work-Related Fatigue (7 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (833 citations), Cognitive Neuroscience (1.0k citations), Endocrine and Autonomic Systems (271 citations), Neurology (109 citations) and Clinical Psychology (175 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, International Journal of Environmental Research and Public Health, Scientific Reports and Nature and Science of 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.

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