Mikkel N. Schmidt

3.0k total citations
82 papers, 1.7k citations indexed

About

Mikkel N. Schmidt is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Mikkel N. Schmidt has authored 82 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 18 papers in Signal Processing and 17 papers in Cognitive Neuroscience. Recurrent topics in Mikkel N. Schmidt's work include Functional Brain Connectivity Studies (15 papers), Blind Source Separation Techniques (14 papers) and Complex Network Analysis Techniques (12 papers). Mikkel N. Schmidt is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Blind Source Separation Techniques (14 papers) and Complex Network Analysis Techniques (12 papers). Mikkel N. Schmidt collaborates with scholars based in Denmark, Germany and United Kingdom. Mikkel N. Schmidt's 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 and has published in prestigious journals such as The Journal of Chemical Physics, NeuroImage and Journal of Business Research.

In The Last Decade

Mikkel N. Schmidt

80 papers receiving 1.6k citations

Peers

Mikkel N. Schmidt

EEE

Shiro Ikeda Japan

K. Y. Michael Wong Hong Kong

Christopher J. Rozell United States

Chung‐Hsien Wu Taiwan

David Duvenaud Canada

José M. Amigó Spain

András Lörincz Hungary

Yaakov Engel Israel

Jun Qi United States

E. Gurewitz United States

Shiro Ikeda Japan

Mikkel N. Schmidt

787 ×1.2

216 ×0.4

103 ×0.3

164 ×0.7

EEE

480 ×2.5

Citations per year, relative to Mikkel N. Schmidt Mikkel N. Schmidt (= 1×) peers Shiro Ikeda

Countries citing papers authored by Mikkel N. Schmidt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Schmidt, Mikkel N., et al.. (2025). Improving generative inverse design of molecular catalysts in small data regime. Machine Learning Science and Technology. 6(2). 25057–25057.

Schmidt, Mikkel N., et al.. (2024). OM-Diff: inverse-design of organometallic catalysts with guided equivariant denoising diffusion. Digital Discovery. 3(9). 1793–1811. 6 indexed citations

Dumont, Elodie, et al.. (2023). Nitroaromatic explosives’ detection and quantification using an attention-based transformer on surface-enhanced Raman spectroscopy maps. The Analyst. 148(19). 4787–4798. 11 indexed citations

Liptrot, Matthew G., Rasmus Røge, Hartwig R. Siebner, et al.. (2022). Uncovering Cortical Units of Processing From Multi-Layered Connectomes. Frontiers in Neuroscience. 16. 836259–836259.

Schmidt, Mikkel N., et al.. (2021). Matrix Product States for Inference in Discrete Probabilistic Models. Journal of Machine Learning Research. 22(187). 1–48. 2 indexed citations

Schmidt, Mikkel N., et al.. (2021). Latent profile analysis of human values: What is the optimal number of clusters?. Methodology. 17(2). 127–148. 12 indexed citations

Schmidt, Mikkel N., et al.. (2019). Analysis of Chromatographic Data using the Probabilistic PARAFAC2. neural information processing systems. 2 indexed citations

Ghosh, Kunal, Annika Stuke, Milica Todorović, et al.. (2019). Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra. Advanced Science. 6(9). 1801367–1801367. 190 indexed citations

Røge, Rasmus, et al.. (2017). Whole brain functional connectivity predicted by indirect structural connections. 1–4. 7 indexed citations

10.

Riis, Nicolai A. B., et al.. (2017). Scalable group level probabilistic sparse factor analysis. 6314–6318. 1 indexed citations

11.

Alstrøm, Tommy Sonne, Michael Schmidt, Mikkel N. Schmidt, et al.. (2016). Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping. Vibrational Spectroscopy. 86. 331–336. 8 indexed citations

12.

Schmidt, Mikkel N., et al.. (2016). Completely random measures for modelling block-structured sparse networks. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 29. 4260–4268. 18 indexed citations

13.

Schmidt, Mikkel N., et al.. (2014). Infinite-degree-corrected stochastic block model. Physical Review E. 90(3). 32819–32819. 15 indexed citations

14.

Mørup, Morten, et al.. (2013). Modeling Temporal Evolution and Multiscale Structure in Networks. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 960–968. 5 indexed citations

15.

Schmidt, Mikkel N., et al.. (2012). Interactive 3-D Audio: Enhancing Awareness of Details in Immersive Soundscapes?. Journal of the Audio Engineering Society. 2 indexed citations

16.

Zibar, Darko, Ole Winther, Robert Borkowski, et al.. (2012). Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission. Optics Express. 20(26). B181–B181. 71 indexed citations

17.

Schmidt, Mikkel N. & Morten Mørup. (2010). Infinite non-negative matrix factorization. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 905–909. 8 indexed citations

18.

Schmidt, Mikkel N. & Shakir Mohamed. (2009). Probabilistic non-negative tensor factorization using Markov chain Monte Carlo. European Signal Processing Conference. 1918–1922. 17 indexed citations

19.

Schmidt, Mikkel N.. (2009). Linearly constrained Bayesian matrix factorization for blind source separation. Neural Information Processing Systems. 22. 1624–1632. 13 indexed citations

20.

Schmidt, Mikkel N. & Rasmus Kongsgaard Olsson. (2006). Single-channel speech separation using sparse non-negative matrix factorization. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). paper 1652–Thu2FoP.10. 259 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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