Maya Ringli

1.8k citations
21 papers · 1.4k · h-index 18

Impact in

Papers in

Maya Ringli

21 papers receiving 1.4k citations

Peers

Maya Ringli
Comparison fields: 5 of 62
  • Cognitive Neuroscience 1.0k
  • Experimental and Cognitive Psychology 594
  • Endocrine and Autonomic Systems 259
  • Psychiatry and Mental health 177
  • Cellular and Molecular Neuroscience 124
Replace Anja Geiger with:
Anja Geiger Switzerland
Luana Novelli Italy
Dominik Philip Johannes Heib Austria
Masaki Nishida Japan
Valentina Gumenyuk United States
Lampros Perogamvros Switzerland
Stefanos Maltezos United Kingdom
Ashura Williams Buckley United States
Bengi Baran United States
Alexandra Morgan United States
Maya Ringli relative to Anja Geiger Switzerland Anja Geiger's profile →
Citations per field
00.5×1.7×
Anja Geiger · 1×
Citations per year

Countries citing papers authored by Maya Ringli

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ringli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010311
2 2010223
3 2011124
4 2011113
5 201299
6 201487
7 201286
8 201458
9 201146
10 201142
11 201736
12 201832
13 201927
14 201126
15 201320
16 201620
17 201619
18 202118
19 201711
20 20219

About Maya Ringli

Maya Ringli is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Music, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (17 papers), EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (7 papers), Sleep and related disorders (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Circadian rhythm and melatonin (2 papers), Hearing Loss and Rehabilitation (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.0k citations), Experimental and Cognitive Psychology (594 citations), Endocrine and Autonomic Systems (259 citations), Psychiatry and Mental health (177 citations) and Cellular and Molecular Neuroscience (124 citations). Maya Ringli has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Reto Huber, Salomé Kurth, Oskar G. Jenni, Anja Geiger, Monique K. LeBourgeois, Andreas Buchmann, Peter Achermann, Daniel Brandeis, Sara Fattinger and Ines Wilhelm. Their work appears in journals such as NeuroImage, Journal of Sleep Research, Journal of Neuroscience, European Journal of Neuroscience 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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