Aurora D’Atri

3.1k citations
97 papers · 2.3k · h-index 29

Impact in

Papers in

Aurora D’Atri

90 papers receiving 2.2k citations

Peers

Aurora D’Atri
Comparison fields: 5 of 125
  • Experimental and Cognitive Psychology 899
  • Cognitive Neuroscience 1.1k
  • Endocrine and Autonomic Systems 278
  • Neurology 112
  • Computational Theory and Mathematics 174
Replace Jin‐Hun Sohn with:
Jin‐Hun Sohn South Korea
Jaime S. Ide United States
Herbert Bauer Austria
Xiangzhen Kong China
Edward P. Chronicle United Kingdom
KongFatt Wong‐Lin United Kingdom
Xu Lei China
Ling‐Li Zeng China
Mueller Shane United States
Fabrizio De Vico Fallani Italy
Aurora D’Atri relative to Jin‐Hun Sohn South Korea Jin‐Hun Sohn's profile →
Citations per field
00.5×2×3×4.3×
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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980176
2 2016135
3 2019105
4 201790
5 198679
6 202073
7 201469
8 201363
9 202162
10 202161
11 202157
12 202156
13 201955
14 201749
15 201745
16 202145
17 201844
18 201744
19 202037
20 202036

About Aurora D’Atri

Aurora D’Atri is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Signal Processing, Computer Networks and Communications and Endocrine and Autonomic Systems, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (44 papers), Sleep and related disorders (34 papers), EEG and Brain-Computer Interfaces (26 papers), Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (13 papers), Neural dynamics and brain function (8 papers), Semantic Web and Ontologies (8 papers) and Sleep and Work-Related Fatigue (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (899 citations), Cognitive Neuroscience (1.1k citations), Endocrine and Autonomic Systems (278 citations), Neurology (112 citations) and Computational Theory and Mathematics (174 citations). Aurora D’Atri has collaborated with scholars based in Italy, Japan and Canada. Frequent co-authors include Luigi De Gennaro, Maurizio Gorgoni, Michèle Ferrara, Serena Scarpelli, Giorgio Ausiello, Federico Salfi, Paolo Maria Rossini, Marco Protasi, Daniela Tempesta and Valentina Alfonsi. Their work appears in journals such as Journal of Sleep Research, Sleep Medicine, International Journal of Environmental Research and Public Health, Scientific Reports 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.

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