Daniel Neu

1.5k citations
47 papers · 1.1k · h-index 19

Impact in

Papers in

Daniel Neu

44 papers receiving 1.0k citations

Peers

Daniel Neu
Comparison fields: 5 of 104
  • Experimental and Cognitive Psychology 548
  • Endocrine and Autonomic Systems 166
  • Cognitive Neuroscience 399
  • Psychiatry and Mental health 280
  • Computer Science Applications 52
Replace Oscar Carrillo with:
Oscar Carrillo United States
Murat Aksu Türkiye
Michelangelo Maestri Italy
Fuat Özgen Türkiye
Bart H. W. Te Lindert Netherlands
Véronique Latreille United States
Shuichiro Shirakawa Japan
Sharon Keenan United States
Eric Lainey France
Holger Lüdtke Germany
Daniel Neu relative to Oscar Carrillo United States Oscar Carrillo's profile →
Citations per field
00.5×3.7×
Oscar Carrillo · 1×
Citations per year

Countries citing papers authored by Daniel Neu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Neu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012182
2 2018121
3 200889
4 201454
5 201154
6 201050
7 200747
8
Clinical complaints of daytime sleepiness and fatigue: how to distinguish and treat them, especially when they become 'excessive' or 'chronic'?
201039
9 201834
10 200833
11 201526
12 201724
13 200923
14 201223
15 201522
16 201821
17 201321
18 201420
19 201819
20 201716

About Daniel Neu

Daniel Neu is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience, Psychiatry and Mental health, Physiology and Endocrine and Autonomic Systems, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sleep and related disorders (27 papers), Sleep and Wakefulness Research (20 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (18 papers), Sleep and Work-Related Fatigue (11 papers), Obstructive Sleep Apnea Research (4 papers), Restless Legs Syndrome Research (3 papers), Psychosomatic Disorders and Their Treatments (3 papers) and Health, psychology, and well-being (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (548 citations), Endocrine and Autonomic Systems (166 citations), Cognitive Neuroscience (399 citations), Psychiatry and Mental health (280 citations) and Computer Science Applications (52 citations). Daniel Neu has collaborated with scholars based in Belgium, Japan and Russia. Frequent co-authors include Olivier Maîresse, Paul Verbanck, Olivier Le Bon, Paul Linkowski, Stephan Diehl, Peter Weißgerber, Guy Hoffmann, Philippe Peigneux, Lieven Danneels and Mira Meeus. Their work appears in journals such as Psychiatry Research, Sleep Medicine, Journal of Sleep Research, SLEEP and European Neuropsychopharmacology.

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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