Rasmus Elsborg Madsen
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Signal Processing top 10%
- Psychiatry and Mental health
- Computer Vision and Pattern Recognition
- Co-authors
- Charles ElkanDavid KauchakJonas Duun‐HenriksenTroels W. KjærHelge B. D. SørensenLine Sofie RemvigCarsten ThomsenLars Kai Hansen
- Topics
- EEG and Brain-Computer Interfaces (5 papers)Topic Modeling (5 papers)Text and Document Classification Technologies (5 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Rasmus Elsborg Madsen
15 papers receiving 377 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 167
- Cognitive Neuroscience 153
- Signal Processing 71
- Psychiatry and Mental health 53
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Rasmus Elsborg Madsen
This map shows the geographic impact of Rasmus Elsborg 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 Rasmus Elsborg Madsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasmus Elsborg Madsen more than expected).
Fields of papers citing papers by Rasmus Elsborg Madsen
This network shows the impact of papers produced by Rasmus Elsborg 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 Rasmus Elsborg Madsen. The network helps show where Rasmus Elsborg Madsen may publish in the future.
Co-authorship network of co-authors of Rasmus Elsborg Madsen
This figure shows the co-authorship network connecting the top 25 collaborators of Rasmus Elsborg Madsen. A scholar is included among the top collaborators of Rasmus Elsborg 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 Rasmus Elsborg Madsen. Rasmus Elsborg Madsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 38 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 25 | |
| 8 | 85 | |
| 9 | Desynchronization of digital circuits | 6 |
| 10 | 183 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | Vocabulary Pruning for Improved Context Recognition | 4 |
| 14 | Enhanced Context Recognition by Sensitivity Pruned Vocabularies | 2 |
| 15 | 8 | |
| 16 | Multi-Subject fMRI Generalization with| Independent Component Representation | 1 |
About Rasmus Elsborg Madsen
Rasmus Elsborg Madsen is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Signal Processing, having authored 16 papers that have together received 394 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Topic Modeling (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Cognitive Neuroscience (153 citations), Signal Processing (71 citations) and Artificial Intelligence (167 citations). Rasmus Elsborg Madsen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Charles Elkan, David Kauchak, Jonas Duun‐Henriksen, Troels W. Kjær, Helge B. D. Sørensen, Line Sofie Remvig, Carsten Thomsen, Lars Kai Hansen, Claus Bogh Juhl and Jan Larsen. Their work appears in journals such as Clinical Neurophysiology, Pediatric Neurology and Journal of Diabetes Science and Technology.
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.