Florence M. Aellen

792 total citations · 1 hit paper
9 papers, 442 citations indexed

About

Florence M. Aellen is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Epidemiology. According to data from OpenAlex, Florence M. Aellen has authored 9 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Epidemiology. Recurrent topics in Florence M. Aellen's work include Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Sleep and related disorders (3 papers). Florence M. Aellen is often cited by papers focused on Neural dynamics and brain function (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Sleep and related disorders (3 papers). Florence M. Aellen collaborates with scholars based in Switzerland, United States and United Kingdom. Florence M. Aellen's co-authors include Athina Tzovara, Francesca Dalia Faraci, Qiyang Hu, Natalia Norori, Frédéric Zubler, Marzia De Lucia, Stefanos Apostolopoulos, Andrea O. Rossetti, Anelia Dietmann and Markus H. Schmidt and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Brain.

In The Last Decade

Florence M. Aellen

7 papers receiving 426 citations

Hit Papers

Addressing bias in big data and AI for health care: A cal... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florence M. Aellen Switzerland 4 199 108 93 44 40 9 442
Jenny Krutzinna Norway 8 125 0.6× 126 1.2× 59 0.6× 60 1.4× 23 0.6× 22 461
Natalia Norori United Kingdom 4 198 1.0× 103 1.0× 93 1.0× 47 1.1× 40 1.0× 8 421
Boris Babic United States 7 229 1.2× 133 1.2× 64 0.7× 74 1.7× 53 1.3× 16 464
Suyog Shetty India 2 283 1.4× 116 1.1× 121 1.3× 74 1.7× 47 1.2× 6 482
Stephanie Teeple United States 5 228 1.1× 135 1.3× 108 1.2× 81 1.8× 29 0.7× 9 524
Shiva Maleki Varnosfaderani United States 3 141 0.7× 67 0.6× 77 0.8× 26 0.6× 32 0.8× 10 313
Agostina J. Larrazabal Argentina 2 160 0.8× 131 1.2× 137 1.5× 43 1.0× 33 0.8× 5 380
Nicolás Nieto Argentina 3 160 0.8× 139 1.3× 130 1.4× 38 0.9× 35 0.9× 8 405
Afnan Almuhanna Saudi Arabia 5 212 1.1× 113 1.0× 118 1.3× 47 1.1× 40 1.0× 27 434
Abdullah H. Alreedy Saudi Arabia 4 195 1.0× 77 0.7× 91 1.0× 42 1.0× 36 0.9× 9 363

Countries citing papers authored by Florence M. Aellen

Since Specialization
Citations

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

Fields of papers citing papers by Florence M. Aellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florence M. Aellen. 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 Florence M. Aellen. The network helps show where Florence M. Aellen may publish in the future.

Co-authorship network of co-authors of Florence M. Aellen

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

All Works

9 of 9 papers shown
1.
Aellen, Florence M., Thomas Rusterholz, Andrea O. Rossetti, et al.. (2025). Temporal dynamics of neural synchrony and complexity of auditory EEG responses in post-hypoxic ischemic coma. Resuscitation. 208. 110531–110531. 1 indexed citations
2.
Aellen, Florence M., Thomas Rusterholz, Tommaso Fellin, et al.. (2025). A role for the thalamus in danger evoked awakening during sleep. Nature Communications. 16(1). 7049–7049.
3.
Aellen, Florence M., et al.. (2024). Sleep Research in the Era of AI. SHILAP Revista de lepidopterología. 8(1). 13–13. 3 indexed citations
4.
Aellen, Florence M., et al.. (2024). Context changes retrieval of prospective outcomes during decision deliberation. Cerebral Cortex. 34(12).
5.
Aellen, Florence M., et al.. (2023). Auditory stimulation and deep learning predict awakening from coma after cardiac arrest. Brain. 146(2). 778–788. 22 indexed citations
6.
Aellen, Florence M., et al.. (2023). Disentangling the complex landscape of sleep–wake disorders with data‐driven phenotyping: A study of the Bernese center. European Journal of Neurology. 31(1). e16026–e16026. 4 indexed citations
7.
Aellen, Florence M., et al.. (2022). The Bern Sleep Database: Clustering of Patients with Sleep Disorders. Sleep Medicine. 100. S106–S106. 1 indexed citations
8.
Aellen, Florence M., et al.. (2021). Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features. Journal of Neuroscience Methods. 364. 109367–109367. 13 indexed citations
9.
Norori, Natalia, Qiyang Hu, Florence M. Aellen, Francesca Dalia Faraci, & Athina Tzovara. (2021). Addressing bias in big data and AI for health care: A call for open science. Patterns. 2(10). 100347–100347. 398 indexed citations breakdown →

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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