Markus H. Schmidt

3.0k total citations
81 papers, 2.0k citations indexed

About

Markus H. Schmidt is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Physiology. According to data from OpenAlex, Markus H. Schmidt has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 35 papers in Experimental and Cognitive Psychology and 23 papers in Physiology. Recurrent topics in Markus H. Schmidt's work include Sleep and Wakefulness Research (47 papers), Sleep and related disorders (32 papers) and Obstructive Sleep Apnea Research (20 papers). Markus H. Schmidt is often cited by papers focused on Sleep and Wakefulness Research (47 papers), Sleep and related disorders (32 papers) and Obstructive Sleep Apnea Research (20 papers). Markus H. Schmidt collaborates with scholars based in Switzerland, United States and France. Markus H. Schmidt's co-authors include Helmut S. Schmidt, Claudio L. Bassetti, Patrice Fort, Richard Bogan, June M. Fry, Damien Gervasoni, Romuald Boissard, Bruno Barbagli, Pierre‐Hervé Luppi and Antoine Adamantidis and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Markus H. Schmidt

68 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus H. Schmidt Switzerland 24 1.2k 603 596 460 388 81 2.0k
Alex Désautels Canada 28 1.5k 1.3× 417 0.7× 692 1.2× 1.2k 2.7× 1.0k 2.6× 77 2.5k
Valérie Cochen De Cock France 29 1.4k 1.1× 188 0.3× 526 0.9× 920 2.0× 1.3k 3.4× 70 2.4k
Eric A. Moulton United States 29 1.5k 1.2× 302 0.5× 208 0.3× 105 0.2× 298 0.8× 59 3.8k
Espen Dietrichs Norway 40 770 0.6× 1.1k 1.8× 96 0.2× 176 0.4× 1.3k 3.3× 153 4.2k
Smaranda Leu‐Semenescu France 34 1.9k 1.6× 609 1.0× 1.2k 2.1× 780 1.7× 1.3k 3.3× 91 3.1k
Jaime R. Villablanca United States 31 1.3k 1.1× 404 0.7× 214 0.4× 109 0.2× 341 0.9× 89 2.8k
Virginia Ng United Kingdom 18 707 0.6× 103 0.2× 195 0.3× 168 0.4× 248 0.6× 23 2.2k
Yoshimasa Koyama Japan 21 1.1k 0.9× 951 1.6× 603 1.0× 35 0.1× 67 0.2× 59 1.8k
Natalia M. Kleinhans United States 22 1.8k 1.5× 94 0.2× 187 0.3× 108 0.2× 104 0.3× 46 2.3k
Jon F. Sassin United States 26 812 0.7× 794 1.3× 641 1.1× 164 0.4× 112 0.3× 41 2.4k

Countries citing papers authored by Markus H. Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Markus H. Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus H. Schmidt. 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 Markus H. Schmidt. The network helps show where Markus H. Schmidt may publish in the future.

Co-authorship network of co-authors of Markus H. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Markus H. Schmidt. A scholar is included among the top collaborators of Markus H. Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus H. Schmidt. Markus H. Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Méndez, Camila, et al.. (2025). Toward Detection of Nocturnal Hypoglycemia in People With Diabetes Using Consumer-Grade Smartwatches and a Machine Learning Approach. Journal of Diabetes Science and Technology. 580929016–580929016. 4 indexed citations
2.
Bergel, Antoine, Mark S. Blumberg, Anthony Herrel, et al.. (2025). Sleep-dependent infraslow rhythms are evolutionarily conserved across reptiles and mammals. Nature Neuroscience. 29(3). 543–550.
3.
Gerber, Stephan M., Samuel E. J. Knobel, Claudio L. Bassetti, et al.. (2024). Sleep stage classification with a network of wearable and contactless devices. Sleep Medicine. 115. S415–S416.
4.
Fiorillo, Luigi, et al.. (2024). Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review. Nature and Science of Sleep. Volume 16. 555–572. 3 indexed citations
5.
Duss, Simone B., Antoine Urech, W Schmitt, et al.. (2024). The Swiss Sleep House Bern—A New Approach to Sleep Medicine. SHILAP Revista de lepidopterología. 8(1). 14–14.
6.
Dekkers, Martijn P. J., Corrado Bernasconi, Simone B. Duss, et al.. (2024). Performance of questionnaires to predict sleep‐disordered breathing in acute stroke patients. Journal of Sleep Research. 34(4). e14416–e14416.
7.
Schmidt, Markus H., M. S. Kehl, Johannes Schultz, et al.. (2024). Olfactory Dysfunction and Limbic Hypoactivation in Temporal Lobe Epilepsy. Human Brain Mapping. 45(16). e70061–e70061. 1 indexed citations
8.
Bargiotas, Panagiotis, Gülçin Benbir Şenel, Christian Sturzenegger, et al.. (2023). SPHYNCS: The Use of the Swiss Narcolepsy Scale in a New Cohort of Patients with Narcolepsy and Its Borderland and Review of the Literature. SHILAP Revista de lepidopterología. 8(1). 2–2.
9.
Duss, Simone B., Corrado Bernasconi, Mauro Manconi, et al.. (2023). Multiple sleep–wake disturbances after stroke predict an increased risk of cardio‐cerebrovascular events or death: A prospective cohort study. European Journal of Neurology. 30(6). 1696–1705. 5 indexed citations
10.
Tzovara, Athina, et al.. (2023). Analysis of Semantic Drifting in Diagnostic Texts for Sleep Disorders. 2021. 726–729.
11.
12.
Lesku, John A. & Markus H. Schmidt. (2022). Energetic costs and benefits of sleep. Current Biology. 32(12). R656–R661. 20 indexed citations
13.
Schmidt, Markus H., et al.. (2022). REM sleep and muscle atonia in brainstem stroke: A quantitative polysomnographic and lesion analysis study. Journal of Sleep Research. 32(2). e13640–e13640. 4 indexed citations
14.
Schindler, Kaspar, Tobias Nef, Maxime O. Baud, et al.. (2021). NeuroTec Sitem-Insel Bern: Closing the Last Mile in Neurology. SHILAP Revista de lepidopterología. 5(2). 13–13. 13 indexed citations
15.
Blumberg, Mark S., John A. Lesku, Paul‐Antoine Libourel, Markus H. Schmidt, & Niels C. Rattenborg. (2020). What Is REM Sleep?. Current Biology. 30(1). R38–R49. 98 indexed citations
16.
Schmidt, Markus H.. (2018). Sleep-related erection neurophysiology: a journey of discovery. Sleep Medicine. 49. 24–27. 6 indexed citations
17.
Ott, Sebastian R., Л. С. Коростовцева, Markus H. Schmidt, et al.. (2017). Sleep-disordered breathing: clinical features, pathophysiology and diagnosis. Swiss Medical Weekly. 147(2122). w14436–w14436. 10 indexed citations
18.
Duss, Simone B., Andrea Seiler, Markus H. Schmidt, et al.. (2016). The role of sleep in recovery following ischemic stroke: A review of human and animal data. SHILAP Revista de lepidopterología. 2. 94–105. 120 indexed citations
19.
Schmidt, Markus H., et al.. (2007). A novel mouse model for assessment of male sexual function. Physiology & Behavior. 91(5). 535–543. 12 indexed citations
20.
Schmidt, Markus H. & Helmut S. Schmidt. (2004). Sleep-related erections: Neural mechanisms and clinical significance. Current Neurology and Neuroscience Reports. 4(2). 170–178. 28 indexed citations

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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