Jens Madsen

816 total citations
20 papers, 396 citations indexed

About

Jens Madsen is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jens Madsen has authored 20 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Jens Madsen's work include Music and Audio Processing (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). Jens Madsen is often cited by papers focused on Music and Audio Processing (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). Jens Madsen collaborates with scholars based in United States, United Kingdom and Denmark. Jens Madsen's co-authors include Lucas C. Parra, Richard N. Steinberg, Simon Henin, Samantha Cohen, Michael P. Milham, Elizabeth Hellmuth Margulis, Qawi K. Telesford, Lei Ai, Stefan Haufe and Pauline Pérez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Jens Madsen

19 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jens Madsen United States 9 241 83 59 35 35 20 396
Samantha Cohen United States 8 316 1.3× 61 0.7× 44 0.7× 36 1.0× 20 0.6× 15 399
Krishna Prasad Miyapuram India 10 254 1.1× 51 0.6× 78 1.3× 31 0.9× 13 0.4× 43 361
Richard Plant United Kingdom 8 185 0.8× 91 1.1× 38 0.6× 36 1.0× 25 0.7× 11 326
Bianca De Wit Australia 8 215 0.9× 73 0.9× 27 0.5× 59 1.7× 16 0.5× 13 287
Philippe Zimmermann Switzerland 5 87 0.4× 138 1.7× 82 1.4× 21 0.6× 30 0.9× 11 269
Yang S. Liu Canada 11 75 0.3× 73 0.9× 46 0.8× 22 0.6× 15 0.4× 41 317
Jessie Martin United States 8 272 1.1× 212 2.6× 45 0.8× 85 2.4× 7 0.2× 13 433
Mark W. Schurgin United States 10 402 1.7× 151 1.8× 72 1.2× 35 1.0× 43 1.2× 16 535
Gustaf Öqvist Seimyr Sweden 9 150 0.6× 21 0.3× 33 0.6× 99 2.8× 58 1.7× 17 347
Boris B. Velichkovsky Russia 10 85 0.4× 27 0.3× 30 0.5× 36 1.0× 53 1.5× 38 249

Countries citing papers authored by Jens Madsen

Since Specialization
Citations

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

Fields of papers citing papers by Jens Madsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jens Madsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Madsen. A scholar is included among the top collaborators of Jens Madsen 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 Jens Madsen. Jens Madsen 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.
Madsen, Jens, et al.. (2025). Effect of explanation videos on learning: The role of attention and academic performance. Education and Information Technologies. 30(9). 11797–11825. 1 indexed citations
2.
Parra, Lucas C., et al.. (2025). VARX Granger analysis: Models for neuroscience, physiology, sociology and econometrics. PLoS ONE. 20(1). e0313875–e0313875. 3 indexed citations
3.
Madsen, Jens & Lucas C. Parra. (2025). Attentional state, not trait, predicts test performance in video-based learning. iScience. 28(10). 113622–113622.
4.
Madsen, Jens & Lucas C. Parra. (2024). Bidirectional brain-body interactions during natural story listening. Cell Reports. 43(4). 114081–114081. 8 indexed citations
5.
6.
Telesford, Qawi K., Ting Xu, Stanley J. Colcombe, et al.. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data. 10(1). 554–554. 4 indexed citations
7.
Madsen, Jens, et al.. (2023). Quantification of lung surfactant lipid (dipalmitoylphosphatidylcholine/sphingomyelin) ratio in binary liposomes using Raman spectroscopy. Journal of Raman Spectroscopy. 55(3). 386–393. 1 indexed citations
8.
Madsen, Jens & Lucas C. Parra. (2022). Cognitive processing of a common stimulus synchronizes brains, hearts, and eyes. PNAS Nexus. 1(1). pgac020–pgac020. 47 indexed citations
9.
Rowe, David J., Jens Madsen, Howard Clark, et al.. (2022). Prediction of Neonatal Respiratory Distress Biomarker Concentration by Application of Machine Learning to Mid-Infrared Spectra. Sensors. 22(5). 1744–1744. 14 indexed citations
10.
Madsen, Jens, et al.. (2021). Synchronized eye movements predict test scores in online video education. Proceedings of the National Academy of Sciences. 118(5). 58 indexed citations
11.
Pérez, Pauline, Jens Madsen, Başak Türker, et al.. (2021). Conscious processing of narrative stimuli synchronizes heart rate between individuals. Cell Reports. 36(11). 109692–109692. 56 indexed citations
12.
Ellis, Shane R., Bryn Flinders, Jens Madsen, et al.. (2021). Mass spectrometry imaging of phosphatidylcholine metabolism in lungs administered with therapeutic surfactants and isotopic tracers. Journal of Lipid Research. 62. 100023–100023. 18 indexed citations
13.
Ai, Lei, Jens Madsen, Qawi K. Telesford, et al.. (2020). Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. NeuroImage. 218. 117001–117001. 62 indexed citations
14.
Jespersen, Kira Vibe, Jens Madsen, & Peter Vuust. (2020). Bedtime Music for Sleep Problems in older Adults with Dementia: a feasibility Study. Music and Medicine. 12(4). 222–222. 3 indexed citations
15.
Madsen, Jens, et al.. (2019). Music synchronizes brainwaves across listeners with strong effects of repetition, familiarity and training. Scientific Reports. 9(1). 3576–3576. 34 indexed citations
16.
Cohen, Samantha, et al.. (2018). Neural engagement with online educational videos predicts learning performance for individual students. Neurobiology of Learning and Memory. 155. 60–64. 70 indexed citations
17.
Madsen, Jens, et al.. (2015). Learning Combinations of Multiple Feature Representations for Music Emotion Prediction. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3–8. 6 indexed citations
18.
Madsen, Jens, et al.. (2014). Modeling Temporal Structure In Music For Emotion Prediction Using Pairwise Comparisons.. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 319–324. 3 indexed citations
19.
Madsen, Jens, et al.. (2012). Towards Predicting Expressed Emotion In Music From Pairwise Comparisons. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 350–357. 2 indexed citations
20.
Madsen, Jens, et al.. (2012). Modeling expressed emotions in music using pairwise comparisons. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 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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