Debora Aricò

1.7k citations
41 papers · 1.2k · h-index 23

Impact in

Papers in

Debora Aricò

41 papers receiving 1.2k citations

Peers

Debora Aricò
Comparison fields: 5 of 81
  • Cognitive Neuroscience 899
  • Experimental and Cognitive Psychology 441
  • Neurology 442
  • Endocrine and Autonomic Systems 130
  • Epidemiology 654
Replace Andrea Galbiati with:
Andrea Galbiati Italy
Maja Tippmann‐Peikert United States
Rositsa Poryazova Switzerland
Elisabeth Brandauer Austria
Ilonka Eisensehr Germany
M. Saletu Austria
Anna Scalise Italy
T. Pollmächer Germany
Milton G. Ettinger United States
Roselyne M. Rijsman Netherlands
Debora Aricò relative to Andrea Galbiati Italy Andrea Galbiati's profile →
Citations per field
00.5×3.3×
Andrea Galbiati · 1×
Citations per year

Countries citing papers authored by Debora Aricò

Since Specialization
Citations

This map shows the geographic impact of Debora Aricò'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 Debora Aricò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debora Aricò more than expected).

Fields of papers citing papers by Debora Aricò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debora Aricò. 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 Debora Aricò. The network helps show where Debora Aricò may publish in the future.

Co-authors

The 25 scholars most cited alongside Debora Aricò, 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 Debora Aricò Line = papers co-authored together Debora Aricò links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 200798
3 200778
4 200472
5 201066
6 201860
7 200756
8 201848
9 201448
10 201047
11 201644
12 201940
13 201040
14 201837
15 201637
16 201129
17 201427
18 201725
19 201525
20 201524

About Debora Aricò

Debora Aricò is a scholar working on Cognitive Neuroscience, Epidemiology, Neurology, Neurology and Experimental and Cognitive Psychology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (29 papers), Restless Legs Syndrome Research (28 papers), Parkinson's Disease Mechanisms and Treatments (19 papers), Transcranial Magnetic Stimulation Studies (7 papers), Sleep and related disorders (7 papers), Neurological disorders and treatments (5 papers), EEG and Brain-Computer Interfaces (3 papers) and Obstructive Sleep Apnea Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (899 citations), Experimental and Cognitive Psychology (441 citations), Neurology (442 citations), Endocrine and Autonomic Systems (130 citations) and Epidemiology (654 citations). Debora Aricò has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Raffaele Ferri, Marco Zucconi, Oliviero Bruni, F. Cosentino, Bartolo Lanuzza, Luigi Ferini‐Strambi, Mauro Manconi, Rita Bella, Valeria Drago and Francesco Rundo. Their work appears in journals such as Sleep Medicine, SLEEP, Journal of Sleep Research, Journal of Clinical Medicine and Clinical Neurophysiology.

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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