Mathias Perslev

3.2k total citations · 1 hit paper
11 papers, 323 citations indexed

About

Mathias Perslev is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Mathias Perslev has authored 11 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Mathias Perslev's work include Medical Imaging and Analysis (3 papers), Sleep and Wakefulness Research (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Mathias Perslev is often cited by papers focused on Medical Imaging and Analysis (3 papers), Sleep and Wakefulness Research (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Mathias Perslev collaborates with scholars based in Denmark, Netherlands and Germany. Mathias Perslev's co-authors include Christian Igel, Sune Darkner, Poul Jennum, Miki Nikolic, Sami S. Brandt, Erik B. Dam, Akshay Pai, J. Runhaar, Anders Overgaard and Kenneth L. Madsen and has published in prestigious journals such as Science Advances, SLEEP and Osteoarthritis and Cartilage.

In The Last Decade

Mathias Perslev

9 papers receiving 315 citations

Hit Papers

U-Sleep: resilient high-frequency sleep staging 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Perslev Denmark 5 164 79 76 75 62 11 323
Seunghyeok Back South Korea 6 161 1.0× 68 0.9× 40 0.5× 68 0.9× 5 0.1× 13 279
Kanghan Oh South Korea 9 96 0.6× 16 0.2× 57 0.8× 11 0.1× 56 0.9× 19 461
Po‐Chih Kuo Taiwan 10 100 0.6× 12 0.2× 40 0.5× 9 0.1× 8 0.1× 36 264
Ashok K. Salhan India 11 36 0.2× 15 0.2× 106 1.4× 34 0.5× 7 0.1× 30 331
Nguyen Thanh Duc South Korea 10 202 1.2× 15 0.2× 53 0.7× 24 0.3× 5 0.1× 16 557
Giacomo Donato Cascarano Italy 12 52 0.3× 52 0.7× 121 1.6× 9 0.1× 11 0.2× 19 428
İrem Taşçı Türkiye 9 111 0.7× 14 0.2× 23 0.3× 16 0.2× 3 0.0× 37 305
Xu Ma China 5 117 0.7× 14 0.2× 18 0.2× 66 0.9× 2 0.0× 6 291
Jonghee Han South Korea 11 39 0.2× 95 1.2× 181 2.4× 13 0.2× 9 0.1× 24 384
Revati Shriram United Kingdom 9 64 0.4× 16 0.2× 110 1.4× 10 0.1× 19 0.3× 31 239

Countries citing papers authored by Mathias Perslev

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Perslev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Perslev

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Perslev. A scholar is included among the top collaborators of Mathias Perslev 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 Mathias Perslev. Mathias Perslev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Larsen, Andreas Haahr, Mathias Perslev, Carmen Klein Herenbrink, et al.. (2025). Membrane curvature association of amphipathic helix 8 drives constitutive endocytosis of GPCRs. Science Advances. 11(33). eadv1499–eadv1499.
2.
Mœller, Alexander, Mathias Perslev, Steffen Ullitz Thorsen, et al.. (2025). Artificial intelligence or sleep experts: comparing polysomnographic sleep staging in children and adolescents. SLEEP. 48(7). 2 indexed citations
3.
Christensen, Julie Anja Engelhard, et al.. (2025). Optimizing automated sleep stage scoring of 5-s mini-epochs: a transfer learning study. SLEEP.
4.
Sengar, Sandeep Singh, Mikael Boesen, Anders Overgaard, et al.. (2022). Multi‐planar 3D knee MRI segmentation via UNet inspired architectures. International Journal of Imaging Systems and Technology. 33(3). 985–998. 4 indexed citations
5.
Perslev, Mathias, Efstathios Diamantopoulos, Signe Marie Jensen, et al.. (2022). Can information on past and near-future weather and field conditions predict the safest pesticide application day?. Computers and Electronics in Agriculture. 203. 107454–107454. 3 indexed citations
6.
Perslev, Mathias, Akshay Pai, J. Runhaar, Christian Igel, & Erik B. Dam. (2021). Cross‐Cohort Automatic Knee MRI Segmentation With Multi‐Planar U‐Nets. Journal of Magnetic Resonance Imaging. 55(6). 1650–1663. 9 indexed citations
7.
Perslev, Mathias, et al.. (2021). U-Sleep: resilient high-frequency sleep staging. npj Digital Medicine. 4(1). 72–72. 190 indexed citations breakdown →
8.
Perslev, Mathias, et al.. (2019). Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. Research at the University of Copenhagen (University of Copenhagen). 15–19. 68 indexed citations
9.
Perslev, Mathias, et al.. (2019). Validation of an open source, generic deep learning architecture for 3D MRI segmentation - with data from the OAI, PROOF, and CCBR. Osteoarthritis and Cartilage. 27. S393–S394. 2 indexed citations
10.
Perslev, Mathias, et al.. (2019). Constitutive internalization across therapeutically targeted GPCRs correlates with constitutive activity. Basic & Clinical Pharmacology & Toxicology. 126(S6). 116–121. 10 indexed citations
11.
Perslev, Mathias, et al.. (2019). U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. arXiv (Cornell University). 32. 4415–4426. 35 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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