Marcel Nonnenmacher

631 total citations
8 papers, 224 citations indexed

About

Marcel Nonnenmacher is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Marcel Nonnenmacher has authored 8 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistical and Nonlinear Physics, 4 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Marcel Nonnenmacher's work include Neural dynamics and brain function (4 papers), Model Reduction and Neural Networks (3 papers) and Meteorological Phenomena and Simulations (2 papers). Marcel Nonnenmacher is often cited by papers focused on Neural dynamics and brain function (4 papers), Model Reduction and Neural Networks (3 papers) and Meteorological Phenomena and Simulations (2 papers). Marcel Nonnenmacher collaborates with scholars based in Germany, United Kingdom and Austria. Marcel Nonnenmacher's co-authors include Jakob H. Macke, David S. Greenberg, Jan-Matthis Lueckmann, Kaan Öcal, Pedro J. Gonçalves, Giacomo Bassetto, Chaitanya Chintaluri, Sara Ann Haddad, Michael Deistler and Tim P. Vogels and has published in prestigious journals such as eLife, PLoS Computational Biology and Weather and Forecasting.

In The Last Decade

Marcel Nonnenmacher

8 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Nonnenmacher Germany 6 111 46 45 37 37 8 224
Alberto Sorrentino Italy 10 180 1.6× 83 1.8× 25 0.6× 7 0.2× 19 0.5× 31 317
Wesley T. Alford United States 5 147 1.3× 52 1.1× 58 1.3× 41 1.1× 27 0.7× 6 247
Mianxin Liu China 11 229 2.1× 29 0.6× 37 0.8× 24 0.6× 59 1.6× 32 346
Patrick A. Stokes United States 4 160 1.4× 20 0.4× 20 0.4× 13 0.4× 18 0.5× 5 253
Wesley Clawson United States 7 235 2.1× 30 0.7× 93 2.1× 53 1.4× 91 2.5× 11 309
Paul C. Gailey United States 9 153 1.4× 18 0.4× 25 0.6× 87 2.4× 176 4.8× 16 403
Sergey L. Gratiy United States 10 247 2.2× 16 0.3× 149 3.3× 32 0.9× 20 0.5× 15 388
Kaan Öcal United Kingdom 5 82 0.7× 39 0.8× 34 0.8× 67 1.8× 20 0.5× 8 192
Antonio J. Pons Spain 10 140 1.3× 28 0.6× 45 1.0× 37 1.0× 68 1.8× 23 293
Lennart Schmidt Germany 7 147 1.3× 56 1.2× 16 0.4× 9 0.2× 151 4.1× 18 537

Countries citing papers authored by Marcel Nonnenmacher

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Nonnenmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Nonnenmacher

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

All Works

8 of 8 papers shown
1.
Nonnenmacher, Marcel & David S. Greenberg. (2021). Deep Emulators for Differentiation, Forecasting, and Parametrization in Earth Science Simulators. Journal of Advances in Modeling Earth Systems. 13(7). 18 indexed citations
2.
Nonnenmacher, Marcel, et al.. (2021). Statistical Seasonal Prediction of European Summer Mean Temperature Using Observational, Reanalysis, and Satellite Data. Weather and Forecasting. 36(4). 1537–1560. 5 indexed citations
3.
Gonçalves, Pedro J., Jan-Matthis Lueckmann, Michael Deistler, et al.. (2020). Training deep neural density estimators to identify mechanistic models of neural dynamics. eLife. 9. 116 indexed citations
4.
Greenberg, David S., Marcel Nonnenmacher, & Jakob H. Macke. (2019). Automatic Posterior Transformation for Likelihood-Free Inference. arXiv (Cornell University). 2404–2414. 18 indexed citations
5.
Lueckmann, Jan-Matthis, Pedro J. Gonçalves, Giacomo Bassetto, et al.. (2017). Flexible statistical inference for mechanistic models of neural dynamics. Lirias (KU Leuven). 30. 1289–1299. 29 indexed citations
6.
Nonnenmacher, Marcel, Christian Behrens, Philipp Berens, Matthias Bethge, & Jakob H. Macke. (2017). Signatures of criticality arise from random subsampling in simple population models. PLoS Computational Biology. 13(10). e1005718–e1005718. 31 indexed citations
7.
Nonnenmacher, Marcel, et al.. (2017). Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations. Max Planck Digital Library. 30. 5702–5712. 4 indexed citations
8.
Nonnenmacher, Marcel, Christian Behrens, Philipp Berens, Matthias Bethge, & Jakob H. Macke. (2015). Correlations and signatures of criticality in neural population models. neural information processing systems. 27–28. 3 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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Breakdown of academic impact, for papers by Alberto Sorrentino Breakdown of academic impact, for papers by Wesley T. Alford Breakdown of academic impact, for papers by Mianxin Liu Breakdown of academic impact, for papers by Patrick A. Stokes Breakdown of academic impact, for papers by Wesley Clawson Breakdown of academic impact, for papers by Paul C. Gailey Breakdown of academic impact, for papers by Sergey L. Gratiy Breakdown of academic impact, for papers by Kaan Öcal Breakdown of academic impact, for papers by Antonio J. Pons Breakdown of academic impact, for papers by Lennart Schmidt
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2026