Marcel Pawlowski

541 total citations
20 papers, 336 citations indexed

About

Marcel Pawlowski is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marcel Pawlowski has authored 20 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marcel Pawlowski's work include Sleep and Wakefulness Research (12 papers), Sleep and related disorders (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Marcel Pawlowski is often cited by papers focused on Sleep and Wakefulness Research (12 papers), Sleep and related disorders (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Marcel Pawlowski collaborates with scholars based in Germany, Netherlands and Switzerland. Marcel Pawlowski's co-authors include Axel Steiger, Martin Dresler, Victor I. Spoormaker, Mary Gazea, Renate Wehrle, Marek Adamczyk, Michael Czisch, Bastian Wollweber, Mayumi Kimura and Boris N. Konrad and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Marcel Pawlowski

19 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Pawlowski Germany 8 193 192 75 40 34 20 336
Liza Ashbrook United States 8 172 0.9× 222 1.2× 187 2.5× 31 0.8× 74 2.2× 13 428
G. Pail Austria 3 138 0.7× 120 0.6× 130 1.7× 28 0.7× 31 0.9× 4 343
Jens H. van Dalfsen Netherlands 7 100 0.5× 180 0.9× 50 0.7× 53 1.3× 23 0.7× 14 316
Lydia Hellrung Germany 11 241 1.2× 62 0.3× 21 0.3× 70 1.8× 34 1.0× 20 390
Wataru Yamadera Japan 13 155 0.8× 172 0.9× 174 2.3× 24 0.6× 96 2.8× 35 378
Alissa Almeida United States 7 113 0.6× 164 0.9× 20 0.3× 42 1.1× 61 1.8× 9 460
K. J. Brower United States 5 201 1.0× 209 1.1× 68 0.9× 86 2.1× 63 1.9× 10 432
Tengteng Fan China 8 148 0.8× 110 0.6× 29 0.4× 29 0.7× 22 0.6× 20 285
Diana S. Ferreira de Sá Germany 9 93 0.5× 65 0.3× 48 0.6× 47 1.2× 43 1.3× 18 300
Michael T. Lardon United States 6 180 0.9× 80 0.4× 29 0.4× 21 0.5× 28 0.8× 8 308

Countries citing papers authored by Marcel Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Pawlowski

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Pawlowski. A scholar is included among the top collaborators of Marcel Pawlowski 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 Marcel Pawlowski. Marcel Pawlowski 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.
Heinrich, Daniel, Christian Adolf, Anna Riester, et al.. (2019). Sleep-EEG in patients with primary aldosteronism in comparison to healthy controls and patients with depression. Journal of Psychiatric Research. 112. 52–60. 3 indexed citations
2.
Steiger, Axel & Marcel Pawlowski. (2019). Depression and Sleep. International Journal of Molecular Sciences. 20(3). 607–607. 179 indexed citations
3.
Mikoteit, Thorsten, et al.. (2019). P.868 Sleep stage related heart rate variability distinguishes between insomnia and normal sleep. European Neuropsychopharmacology. 29. S578–S579. 1 indexed citations
4.
Pawlowski, Marcel, et al.. (2018). Suppression of REM Sleep Related Heart Rate Variability by Antidepressants at Week One Predicts Treatment Response at Week Four. MPG.PuRe (Max Planck Society). 134–135. 1 indexed citations
5.
Pawlowski, Marcel, et al.. (2018). S241. Investigation of Mechanism of Increased Appetite After Olanzapine by sLORETA During Sleep. Biological Psychiatry. 83(9). S441–S442. 1 indexed citations
6.
Pawlowski, Marcel, Mary Gazea, Bastian Wollweber, et al.. (2017). Heart rate variability and cordance in rapid eye movement sleep as biomarkers of depression and treatment response. Journal of Psychiatric Research. 92. 64–73. 25 indexed citations
7.
Ujma, Péter P., Boris N. Konrad, Ferenc Gombos, et al.. (2017). The sleep EEG spectrum is a sexually dimorphic marker of general intelligence. Scientific Reports. 7(1). 18070–18070. 18 indexed citations
8.
Mikoteit, Thorsten, Marcel Pawlowski, Eleonora Seelig, et al.. (2017). Heart rate variability during sleep distinguishes between insomnia and normal sleep. Sleep Medicine. 40. e223–e224. 3 indexed citations
9.
Müller, N., Boris N. Konrad, Marcel Pawlowski, et al.. (2016). Ghrelin modulates encoding-related brain function without enhancing memory formation in humans. NeuroImage. 142. 465–473. 21 indexed citations
10.
Müller, N., Lisa Genzel, Boris N. Konrad, et al.. (2016). Motor Skills Enhance Procedural Memory Formation and Protect against Age-Related Decline. PLoS ONE. 11(6). e0157770–e0157770. 9 indexed citations
11.
12.
Adamczyk, Marek, Mary Gazea, Bastian Wollweber, et al.. (2015). Cordance derived from REM sleep EEG as a biomarker for treatment response in depression – a naturalistic study after antidepressant medication. Journal of Psychiatric Research. 63. 97–104. 13 indexed citations
13.
Steiger, Axel, Marcel Pawlowski, & Mayumi Kimura. (2015). Sleep electroencephalography as a biomarker in depression. 15–15. 14 indexed citations
14.
Dresler, Martin, Renate Wehrle, Victor I. Spoormaker, et al.. (2014). Volitional components of consciousness vary across wakefulness, dreaming and lucid dreaming. Frontiers in Psychology. 4. 987–987. 39 indexed citations
15.
Pawlowski, Marcel, et al.. (2013). Endocrine and cognitive effects of a radically polyphasic sleep schedule. Pharmacopsychiatry. 46(6). 1 indexed citations
16.
Pawlowski, Marcel, Martin Dresler, Herta Flor, & Axel Steiger. (2011). Cordance as a biomarker in sleep-EEG for depression: responders versus non-responders: a naturalistic study after antidepressant medication. European Neuropsychopharmacology. 21. 1 indexed citations
17.
Pawlowski, Marcel, et al.. (2011). P.2.a.012 Cordance as a biomarker in sleep-EEG for depression: responders versus nonresponders: a naturalistic study after antidepressant medication. European Neuropsychopharmacology. 21. S360–S361. 3 indexed citations
18.
Fulda, Stephany, et al.. (2011). Robust and stable automatic detection of rapid-eye movements in REM sleep. Pharmacopsychiatry. 44(6). 1 indexed citations
19.
Heckmann, Josef G., Marcel Pawlowski, Frank Seifert, et al.. (2006). Retropharyngeale Tendinitis. Der Nervenarzt. 77(8). 952–957. 2 indexed citations
20.
Karczmarzyk, Zbigniew & Marcel Pawlowski. (1998). Crystal and molecular structure of 7-chloropropyl-8-aminotheophylline semibenzene solvate. Polish Journal of Chemistry. 72(4). 793–798. 1 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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