Daniel P. Brunner

3.1k citations
25 papers · 2.5k indexed · h-index 23

Impact in

Papers in

Daniel P. Brunner

25 papers receiving 2.4k citations

Peers

Daniel P. Brunner
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 949
  • Experimental and Cognitive Psychology 1.5k
  • Cognitive Neuroscience 1.9k
  • Cellular and Molecular Neuroscience 277
  • Behavioral Neuroscience 34
Replace Edward J. Silva with:
Edward J. Silva United States
Sunao Uchida Japan
Ian G. Campbell United States
Annabelle Darsaud Belgium
Vera Knoblauch Switzerland
Róbert Bódizs Hungary
Paul Naitoh United States
Janet C. Zimmerman United States
Stuart Fogel Canada
Nayantara Santhi United Kingdom
Daniel P. Brunner relative to Edward J. Silva United States Edward J. Silva's profile →
Citations per field
00.5×2.5×
Edward J. Silva · 1×
Citations per year

Countries citing papers authored by Daniel P. Brunner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Brunner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201634
2 201612
3 201328
4 200326
5 200059
6 199910
7 199723
8 199634
9 1996151
10 1995271
11 199538
12 1994134
13 1994101
14 1993185
15 1993354
16 1991132
17 199174
18 1990160
19 1990148
20 199041

About Daniel P. Brunner

Daniel P. Brunner is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Biological Psychiatry and Sensory Systems, having authored 25 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (20 papers), Sleep and related disorders (11 papers), EEG and Brain-Computer Interfaces (11 papers), Circadian rhythm and melatonin (7 papers), Neural dynamics and brain function (5 papers), Sleep and Work-Related Fatigue (2 papers), Neonatal and fetal brain pathology (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (949 citations), Experimental and Cognitive Psychology (1.5k citations), Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (277 citations) and Behavioral Neuroscience (34 citations). Daniel P. Brunner has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Derk‐Jan Dijk, Alexander A. Borbély, Peter Achermann, Anna Wirz‐Justice, Kurt Kräuchi, Christian Cajochen, Peter Graw, Irene Tobler, Domien G. M. Beersma and L. Trachsel. Their work appears in journals such as SLEEP, Biological Psychiatry, Electroencephalography and Clinical Neurophysiology, Journal of Sleep Research and Journal of Affective Disorders.

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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