Morten Mørup
Impact in
- Computational Mathematics top 0.05%
- Tensor decomposition and applications
- Signal Processing top 1%
- Blind Source Separation Techniques
Papers in
-
- Functional Brain Connectivity Studies 32
- Neural dynamics and brain function 21
- EEG and Brain-Computer Interfaces 10
- Co-authors
- Lars Kai Hansen (32 shared papers)Sidse Arnfred (12 shared papers)Daniel Dunlavy (2 shared papers)Tamara G. Kolda (2 shared papers)Evrim Acar (3 shared papers)Mikkel N. Schmidt (40 shared papers)Kristoffer H. Madsen (25 shared papers)Josef Parnas (8 shared papers)
- Journals
- NeuroImage (7 papers)Neural Computation (4 papers)Clinical Neurophysiology (2 papers)IEEE Signal Processing Magazine (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Morten Mørup
117 papers receiving 3.0k citations
Morten Mørup's Hit Papers
Peers
Comparison fields: 5 of 175
- Computational Mathematics 854
- Signal Processing 545
- Cognitive Neuroscience 861
- Radiology, Nuclear Medicine and Imaging 497
- Computational Mechanics 387
Countries citing papers authored by Morten Mørup
This map shows the geographic impact of Morten Mørup'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 Morten Mørup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morten Mørup more than expected).
Fields of papers citing papers by Morten Mørup
This network shows the impact of papers produced by Morten Mørup. 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 Morten Mørup. The network helps show where Morten Mørup may publish in the future.
Co-authors
The 25 scholars most cited alongside Morten Mørup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable tensor factorizations for incomplete data Hit paper breakdown → | 2010 | 420 |
| 2 | 2015 | 250 | |
| 3 | 2005 | 187 | |
| 4 | 2011 | 164 | |
| 5 | 2011 | 135 | |
| 6 | 2004 | 134 | |
| 7 | 2018 | 123 | |
| 8 | 2007 | 119 | |
| 9 | 2008 | 114 | |
| 10 | 2010 | 94 | |
| 11 | 2009 | 94 | |
| 12 | 2013 | 90 | |
| 13 | 2008 | 64 | |
| 14 | 2017 | 52 | |
| 15 | 2007 | 46 | |
| 16 | 2013 | 46 | |
| 17 | 2014 | 42 | |
| 18 | 2013 | 39 | |
| 19 | 2017 | 36 | |
| 20 | 2008 | 35 |
About Morten Mørup
Morten Mørup is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Computational Mathematics, having authored 123 papers that have together received 3.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (32 papers), Blind Source Separation Techniques (22 papers), Neural dynamics and brain function (21 papers), Complex Network Analysis Techniques (17 papers), Tensor decomposition and applications (16 papers), Advanced Neuroimaging Techniques and Applications (13 papers), EEG and Brain-Computer Interfaces (10 papers) and Opinion Dynamics and Social Influence (9 papers). The work is most often cited by research in Computational Mathematics (854 citations), Signal Processing (545 citations), Cognitive Neuroscience (861 citations), Radiology, Nuclear Medicine and Imaging (497 citations) and Computational Mechanics (387 citations). Morten Mørup has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Lars Kai Hansen, Sidse Arnfred, Daniel Dunlavy, Tamara G. Kolda, Evrim Acar, Mikkel N. Schmidt, Kristoffer H. Madsen, Josef Parnas, Fernando Calamante and Christoph S. Herrmann. Their work appears in journals such as NeuroImage, Neural Computation, Clinical Neurophysiology, IEEE Signal Processing Magazine and Frontiers in Neuroscience.
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.