Thomas Penzel

28.6k total citations · 3 hit papers
584 papers, 17.5k citations indexed

About

Thomas Penzel is a scholar working on Physiology, Cognitive Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Thomas Penzel has authored 584 papers receiving a total of 17.5k indexed citations (citations by other indexed papers that have themselves been cited), including 312 papers in Physiology, 195 papers in Cognitive Neuroscience and 181 papers in Endocrine and Autonomic Systems. Recurrent topics in Thomas Penzel's work include Obstructive Sleep Apnea Research (308 papers), Neuroscience of respiration and sleep (160 papers) and Sleep and Wakefulness Research (137 papers). Thomas Penzel is often cited by papers focused on Obstructive Sleep Apnea Research (308 papers), Neuroscience of respiration and sleep (160 papers) and Sleep and Wakefulness Research (137 papers). Thomas Penzel collaborates with scholars based in Germany, United States and Australia. Thomas Penzel's co-authors include Jan W. Kantelhardt, Ingo Fietze, Ludger Grote, Martin Glos, J. H. Peter, Armin Bunde, Atul Malhotra, Raphaël Heinzer, Heinrich F. Becker and Sérgio Tufik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Circulation.

In The Last Decade

Thomas Penzel

547 papers receiving 17.0k citations

Hit Papers

Estimation of the global ... 2003 2026 2010 2018 2019 2007 2003 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Penzel 9.7k 6.3k 6.2k 4.0k 3.4k 584 17.5k
Conrad Iber 12.1k 1.2× 6.7k 1.1× 9.1k 1.5× 4.9k 1.2× 5.0k 1.5× 96 18.8k
Daniel J. Gottlieb 17.8k 1.8× 5.9k 0.9× 12.3k 2.0× 6.8k 1.7× 7.5k 2.2× 146 24.7k
Steven A. Shea 6.6k 0.7× 2.6k 0.4× 6.6k 1.1× 3.0k 0.7× 1.9k 0.6× 252 17.0k
Naresh M. Punjabi 11.1k 1.1× 3.8k 0.6× 7.8k 1.3× 4.8k 1.2× 4.6k 1.3× 207 17.2k
Atul Malhotra 23.5k 2.4× 7.8k 1.2× 17.6k 2.9× 6.3k 1.6× 9.8k 2.9× 609 32.7k
Christian Guilleminault 14.4k 1.5× 5.5k 0.9× 11.3k 1.8× 4.9k 1.2× 6.5k 1.9× 345 21.8k
Kingman P. Strohl 18.2k 1.9× 5.4k 0.9× 14.7k 2.4× 4.8k 1.2× 7.9k 2.3× 357 25.7k
Meir H. Kryger 7.7k 0.8× 4.1k 0.7× 6.1k 1.0× 4.2k 1.1× 3.6k 1.1× 204 13.4k
Allan I Pack 16.0k 1.6× 8.8k 1.4× 14.9k 2.4× 8.0k 2.0× 6.6k 1.9× 416 29.1k
Reena Mehra 10.7k 1.1× 2.7k 0.4× 7.2k 1.2× 2.4k 0.6× 4.4k 1.3× 171 14.0k

Countries citing papers authored by Thomas Penzel

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Penzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Penzel

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Penzel. A scholar is included among the top collaborators of Thomas Penzel 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 Thomas Penzel. Thomas Penzel 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.
2.
Jahrami, Haitham, Waqar Husain, Khaled Trabelsi, et al.. (2025). Artificial intelligence and sleep medicine II: A scoping review of applications, advancements, and future directions. Sleep Medicine Reviews. 85. 102212–102212.
4.
Fouda, J.S. Armand Eyebe, Wolfram Koepf, Norbert Marwan, Jürgen Kurths, & Thomas Penzel. (2024). Complexity from ordinal pattern positioned slopes (COPPS). Chaos Solitons & Fractals. 181. 114708–114708. 3 indexed citations
5.
Partinen, Eemil, Yuichi Inoue, Mariusz Siemiński, et al.. (2024). Restless legs symptoms increased during COVID-19 pandemic. International ICOSS-survey. Sleep Medicine. 119. 389–398. 2 indexed citations
6.
Haghi, Mostafa, et al.. (2024). Evolution of Bed-Based Sensor Technology in Unobtrusive Sleep Monitoring: A Review. IEEE Sensors Journal. 24(19). 29545–29563. 3 indexed citations
7.
Mazzotti, Diego R., Ulysses J. Magalang, Brendan T Keenan, et al.. (2024). OSA symptom subtypes and hypoxic burden independently predict distinct cardiovascular outcomes. ERJ Open Research. 11(1). 511–2024. 2 indexed citations
8.
Ramezani, Amin, Amir Sharafkhaneh, Arash Maghsoudi, et al.. (2024). Age modifies the association between severe sleep apnea and all-cause mortality. Sleep Medicine. 121. 18–24. 6 indexed citations
9.
Nath, Rajdeep Kumar, Sami Nikkonen, Samu Kainulainen, et al.. (2024). Temporal and sleep stage‐dependent agreement in manual scoring of respiratory events. Journal of Sleep Research. 34(3). e14391–e14391. 1 indexed citations
10.
ElMoaqet, Hisham, et al.. (2023). A CNN-BiLSTM Deep Learning Model for Automatic Scoring of EEG Signals. SHILAP Revista de lepidopterología. 9(1). 642–645. 2 indexed citations
11.
Glos, Martin, et al.. (2023). Automatic sleep-stage classification of heart rate and actigraphy data using deep and transfer learning approaches. Computers in Biology and Medicine. 163. 107193–107193. 12 indexed citations
12.
Scarpelli, Serena, A. De Santis, Valentina Alfonsi, et al.. (2022). The role of sleep and dreams in long‐COVID. Journal of Sleep Research. 32(3). e13789–e13789. 15 indexed citations
13.
Keenan, Brendan T, Diego R. Mazzotti, Fernando Vaquerizo-Villar, et al.. (2021). Heart rate variability during wakefulness as a marker of obstructive sleep apnea severity. SLEEP. 44(5). 42 indexed citations
14.
Пономаренко, В. И., Anatoly S. Karavaev, Ekaterina I. Borovkova, et al.. (2021). Decrease of coherence between the respiration and parasympathetic control of the heart rate with aging. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(7). 73105–73105. 8 indexed citations
15.
Bonsignore, Maria R., Winfried Randerath, Sofia Schiza, et al.. (2020). European Respiratory Society statement on sleep apnoea, sleepiness and driving risk. European Respiratory Journal. 57(2). 2001272–2001272. 49 indexed citations
16.
Mendonça, Fábio, Sheikh Shanawaz Mostafa, Antonio G. Ravelo‐García, Fernando Morgado‐Dias, & Thomas Penzel. (2018). A Review of Obstructive Sleep Apnea Detection Approaches. IEEE Journal of Biomedical and Health Informatics. 23(2). 825–837. 155 indexed citations
17.
Karimi, Mahssa, Jan Hedner, Carolina Lombardi, et al.. (2014). Driving habits and risk factors for traffic accidents among sleep apnea patients – a E uropean multi‐centre cohort study. Journal of Sleep Research. 23(6). 689–699. 36 indexed citations
18.
Amra, Babak, et al.. (2013). Validation of the Persian Version of Berlin Sleep Questionnaire for Diagnosing Obstructive Sleep Apnea. SHILAP Revista de lepidopterología. 22 indexed citations
19.
Kushida, Clete A., Alexander Blau, Tami Crabtree, et al.. (2011). Positive Airway Pressure Initiation: A Randomized Controlled Trial to Assess the Impact of Therapy Mode and Titration Process on Efficacy, Adherence, and Outcomes. SLEEP. 34(8). 1083–92. 56 indexed citations
20.
Amra, Babak, Mohammad Golshan, Ingo Fietze, Thomas Penzel, & Tobias Welte. (2011). Correlation between chronic obstructive pulmonary disease and obstructive sleep apnea syndrome in a general population in Iran. SHILAP Revista de lepidopterología. 9 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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