Michael Ungstrup

729 total citations
10 papers, 554 citations indexed

About

Michael Ungstrup is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Michael Ungstrup has authored 10 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Signal Processing. Recurrent topics in Michael Ungstrup's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (5 papers) and Blind Source Separation Techniques (3 papers). Michael Ungstrup is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (5 papers) and Blind Source Separation Techniques (3 papers). Michael Ungstrup collaborates with scholars based in United Kingdom, Denmark and Germany. Michael Ungstrup's co-authors include Preben Kidmose, Danilo P. Mandic, David Looney, Mike Lind Rank, Cheolsoo Park, Karin Rosenkranz, Jens Gravesen, Yili Xia, D. Mandic and Mo Chen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Advances in Computational Mathematics.

In The Last Decade

Michael Ungstrup

10 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Ungstrup United Kingdom 8 451 163 103 100 62 10 554
D. N. Tibarewala India 10 330 0.7× 134 0.8× 70 0.7× 109 1.1× 49 0.8× 40 465
Anwesha Khasnobish India 12 353 0.8× 142 0.9× 85 0.8× 118 1.2× 36 0.6× 54 496
Ridha Djemal Tunisia 14 576 1.3× 220 1.3× 150 1.5× 66 0.7× 96 1.5× 47 728
Vahid Abootalebi Iran 11 477 1.1× 106 0.7× 94 0.9× 35 0.3× 100 1.6× 48 629
Jiang Xiao China 7 446 1.0× 72 0.4× 144 1.4× 61 0.6× 88 1.4× 31 689
Xiaowei Zheng China 14 392 0.9× 122 0.7× 88 0.9× 85 0.8× 38 0.6× 46 568
Imali Hettiarachchi Australia 12 259 0.6× 89 0.5× 65 0.6× 57 0.6× 49 0.8× 46 475
Hyohyeong Kang South Korea 7 360 0.8× 121 0.7× 138 1.3× 55 0.6× 28 0.5× 11 454

Countries citing papers authored by Michael Ungstrup

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ungstrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Ungstrup

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

All Works

10 of 10 papers shown
1.
Kidmose, Preben, David Looney, Michael Ungstrup, Mike Lind Rank, & Danilo P. Mandic. (2013). A Study of Evoked Potentials From Ear-EEG. IEEE Transactions on Biomedical Engineering. 60(10). 2824–2830. 146 indexed citations
2.
Looney, David, Preben Kidmose, Cheolsoo Park, et al.. (2012). The In-the-Ear Recording Concept: User-Centered and Wearable Brain Monitoring. IEEE Pulse. 3(6). 32–42. 197 indexed citations
3.
Looney, David, Preben Kidmose, Cheolsoo Park, et al.. (2012). The In-the-Ear Recording Concept. 7 indexed citations
4.
Park, Cheolsoo, David Looney, Preben Kidmose, Michael Ungstrup, & Danilo P. Mandic. (2011). Time-Frequency Analysis of EEG Asymmetry Using Bivariate Empirical Mode Decomposition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 19(4). 366–373. 74 indexed citations
5.
Looney, David, Preben Kidmose, Mike Lind Rank, et al.. (2011). An in-the-ear platform for recording electroencephalogram. PubMed. 2011. 6882–6885. 77 indexed citations
6.
Kidmose, Preben, et al.. (2010). A Yarbus-style experiment to determine auditory attention. PubMed. 2010. 4650–4653. 5 indexed citations
7.
Looney, David, Cheolsoo Park, Yili Xia, et al.. (2010). Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. 1–5. 10 indexed citations
8.
Looney, David, et al.. (2009). Measuring phase synchrony using complex extensions of EMD. 49–52. 21 indexed citations
9.
Chen, Mo, Danilo P. Mandic, Preben Kidmose, & Michael Ungstrup. (2008). Qualitative assessment of intrinsic mode functions of empirical mode decomposition. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 1905–1908. 4 indexed citations
10.
Gravesen, Jens & Michael Ungstrup. (2002). Constructing Invariant Fairness Measures for Surfaces. Advances in Computational Mathematics. 17(1-2). 67–88. 13 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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