Mikkel N. Schmidt
- Signal Processing top 1%
- Artificial Intelligence top 2%
- Materials Chemistry
- Electrical and Electronic Engineering
- Computational Mechanics top 5%
- Co-authors
- Rasmus Kongsgaard OlssonMorten MørupJan LarsenPeter Bjørn JørgensenOle WintherAki VehtariAnnika StukePatrick Rinke
- Topics
- Functional Brain Connectivity Studies (15 papers)Blind Source Separation Techniques (14 papers)Complex Network Analysis Techniques (12 papers)
- Partner nations
- DenmarkGermanyUnited Kingdom
In The Last Decade
Mikkel N. Schmidt
80 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 139
- Signal Processing 636
- Artificial Intelligence 505
- Materials Chemistry 313
- Electrical and Electronic Engineering 231
- Computational Mechanics 192
Countries citing papers authored by Mikkel N. Schmidt
This map shows the geographic impact of Mikkel N. Schmidt'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 Mikkel N. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikkel N. Schmidt more than expected).
Fields of papers citing papers by Mikkel N. Schmidt
This network shows the impact of papers produced by Mikkel N. Schmidt. 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 Mikkel N. Schmidt. The network helps show where Mikkel N. Schmidt may publish in the future.
Co-authorship network of co-authors of Mikkel N. Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Mikkel N. Schmidt. A scholar is included among the top collaborators of Mikkel N. Schmidt 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 Mikkel N. Schmidt. Mikkel N. Schmidt 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 | 6 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | Matrix Product States for Inference in Discrete Probabilistic Models | 2 |
| 6 | 12 | |
| 7 | Analysis of Chromatographic Data using the Probabilistic PARAFAC2 | 2 |
| 8 | 190 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | Completely random measures for modelling block-structured sparse networks | 18 |
| 13 | 15 | |
| 14 | Modeling Temporal Evolution and Multiscale Structure in Networks | 5 |
| 15 | Interactive 3-D Audio: Enhancing Awareness of Details in Immersive Soundscapes? | 2 |
| 16 | 71 | |
| 17 | Infinite non-negative matrix factorization | 8 |
| 18 | Probabilistic non-negative tensor factorization using Markov chain Monte Carlo | 17 |
| 19 | Linearly constrained Bayesian matrix factorization for blind source separation | 13 |
| 20 | 259 |
About Mikkel N. Schmidt
Mikkel N. Schmidt is a scholar working on Computational Mathematics, Signal Processing and Biophysics, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (15 papers), Blind Source Separation Techniques (14 papers) and Complex Network Analysis Techniques (12 papers). The work is most often cited by research in Signal Processing (636 citations), Computational Mathematics (25 citations) and Artificial Intelligence (505 citations). Mikkel N. Schmidt has collaborated with scholars based in Denmark, Germany and United Kingdom. Frequent co-authors include Rasmus Kongsgaard Olsson, Morten Mørup, Jan Larsen, Peter Bjørn Jørgensen, Ole Winther, Aki Vehtari, Annika Stuke, Patrick Rinke, Kunal Ghosh and Milica Todorović. Their work appears in journals such as The Journal of Chemical Physics, NeuroImage and Journal of Business 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.