Sidse Arnfred

2.8k citations
119 papers · 2.0k · h-index 25

Impact in

    • Tensor decomposition and applications
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Neuroscience and Music Perception
    • Functional Brain Connectivity Studies

Papers in

Sidse Arnfred

106 papers receiving 1.9k citations

Peers

Sidse Arnfred
Comparison fields: 5 of 129
  • Computational Mathematics 252
  • Cognitive Neuroscience 590
  • Psychiatry and Mental health 270
  • Clinical Psychology 345
  • Signal Processing 179
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Citations per field
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Citations per year

Countries citing papers authored by Sidse Arnfred

Since Specialization
Citations

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

Fields of papers citing papers by Sidse Arnfred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sidse Arnfred, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sidse Arnfred Line = papers co-authored together Sidse Arnfred links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005187
2 2007120
3 2008115
4 2007107
5 201681
6 200864
7 200150
8 201648
9 200748
10 201646
11 200443
12 202140
13 201139
14 200339
15 201834
16 201833
17
Decomposing the time-frequency representation of EEG using non-negative matrix and multi-way factorization
200628
18 201828
19 202328
20 202128

About Sidse Arnfred

Sidse Arnfred is a scholar working on Clinical Psychology, Cognitive Neuroscience, General Health Professions, Psychiatry and Mental health and Experimental and Cognitive Psychology, having authored 119 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), EEG and Brain-Computer Interfaces (11 papers), Neuroscience and Music Perception (11 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers), Psychotherapy Techniques and Applications (8 papers), Mental Health and Patient Involvement (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Mental Health Research Topics (7 papers). The work is most often cited by research in Computational Mathematics (252 citations), Cognitive Neuroscience (590 citations), Psychiatry and Mental health (270 citations), Clinical Psychology (345 citations) and Signal Processing (179 citations). Sidse Arnfred has collaborated with scholars based in Denmark, United States and Sweden. Frequent co-authors include Morten Mørup, Lars Kai Hansen, Josef Parnas, Ralf Hemmingsen, Andrew C. N. Chen, Christoph S. Herrmann, Peter Handest, Lone Petersen, Lisa Korsbek and Axel Kornerup Hansen. Their work appears in journals such as International Journal of Mental Health Nursing, Psychiatry Research, Clinical Psychology & Psychotherapy, Clinical Neurophysiology and Behavioural Brain Research.

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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