Andreas Müller

3.4k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Andreas Müller is a scholar working on Materials Chemistry, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Andreas Müller has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Artificial Intelligence and 3 papers in Civil and Structural Engineering. Recurrent topics in Andreas Müller's work include Catalytic Processes in Materials Science (5 papers), Force Microscopy Techniques and Applications (3 papers) and Catalysts for Methane Reforming (3 papers). Andreas Müller is often cited by papers focused on Catalytic Processes in Materials Science (5 papers), Force Microscopy Techniques and Applications (3 papers) and Catalysts for Methane Reforming (3 papers). Andreas Müller collaborates with scholars based in Germany, Switzerland and Spain. Andreas Müller's co-authors include Sven Behnke, Markus Drechsler, Christophe Copéret, Aleix Comas‐Vives, Hannes Schulz, Elmar W. Lang, M. Stetter, Andreas Taras, Michael Kraus and Christophe Praz and has published in prestigious journals such as The Journal of Physical Chemistry, The Journal of Physical Chemistry C and Physical Chemistry Chemical Physics.

In The Last Decade

Andreas Müller

25 papers receiving 1.0k citations

Hit Papers

Introduction to machine learning with Python a guide for ... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Müller Germany 11 230 128 108 96 91 27 1.1k
Dan Yamins United States 2 393 1.7× 123 1.0× 93 0.9× 63 0.7× 128 1.4× 3 1.1k
Xianghua Li China 24 323 1.4× 129 1.0× 118 1.1× 45 0.5× 208 2.3× 115 1.4k
Pedro Contreras Venezuela 9 386 1.7× 183 1.4× 49 0.5× 70 0.7× 90 1.0× 33 1.5k
Stephen B. Vardeman United States 22 266 1.2× 90 0.7× 62 0.6× 100 1.0× 84 0.9× 113 1.9k
Ying Xue China 3 331 1.4× 140 1.1× 68 0.6× 113 1.2× 127 1.4× 6 1.5k
Carlo Maria Medaglia Italy 21 122 0.5× 87 0.7× 256 2.4× 79 0.8× 81 0.9× 61 1.3k
Xin Shen China 18 283 1.2× 80 0.6× 65 0.6× 114 1.2× 114 1.3× 94 1.2k
João Santos Portugal 17 394 1.7× 90 0.7× 81 0.8× 48 0.5× 97 1.1× 75 1.1k
François-Michel De Rainville Canada 7 417 1.8× 116 0.9× 32 0.3× 84 0.9× 172 1.9× 9 1.3k

Countries citing papers authored by Andreas Müller

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Müller

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

All Works

20 of 20 papers shown
1.
Müller, Andreas, Aleix Comas‐Vives, & Christophe Copéret. (2025). Effect of Particle Size and Alloying with Gallium and Zinc in Copper Nanoparticles from Ab Initio Molecular Dynamics. Helvetica Chimica Acta. 108(3). 1 indexed citations
2.
Müller, Andreas, et al.. (2024). Metadynamics simulations reveal alloying-dealloying processes for bimetallic PdGa nanoparticles under CO2 hydrogenation. Chemical Science. 15(13). 4871–4880. 5 indexed citations
3.
Powell, Alison, et al.. (2024). Re-wilding the Night: Understanding How Darkness Is Valued Through the Nighttime Light Ecology of Bonn Botanical Gardens. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 2. 12–29.
5.
Meurer, Aaron, Ralf Gommers, Yao-Lung L. Fang, et al.. (2023). Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem. Proceedings of the Python in Science Conferences. 8–17. 1 indexed citations
6.
Müller, Andreas, et al.. (2023). Online corrosion monitoring in industrial boilers. Thermal Science and Engineering Progress. 43. 102009–102009. 6 indexed citations
7.
Floratou, Avrilia, et al.. (2023). Schema Matching using Pre-Trained Language Models. 1558–1571. 6 indexed citations
8.
Müller, Andreas, Aleix Comas‐Vives, & Christophe Copéret. (2022). Ga and Zn increase the oxygen affinity of Cu-based catalysts for the COx hydrogenation according to ab initio atomistic thermodynamics. Chemical Science. 13(45). 13442–13458. 15 indexed citations
9.
Müller, Andreas, Andreas Taras, & Michael Kraus. (2022). Scientific Machine and Deep Learning Investigations of the Local Buckling Behaviour of Hollow Sections. ce/papers. 5(4). 1034–1042. 9 indexed citations
10.
Müller, Andreas, Aleix Comas‐Vives, & Christophe Copéret. (2020). Shape and Surface Morphology of Copper Nanoparticles under CO₂ Hydrogenation Conditions from First Principles. The Journal of Physical Chemistry. 1 indexed citations
11.
Müller, Andreas, Aleix Comas‐Vives, & Christophe Copéret. (2020). Shape and Surface Morphology of Copper Nanoparticles under CO2 Hydrogenation Conditions from First Principles. The Journal of Physical Chemistry C. 125(1). 396–409. 18 indexed citations
12.
Rijn, Jan N. van, Florian Pfisterer, Janek Thomas, et al.. (2018). Meta learning for defaults: symbolic defaults. Data Archiving and Networked Services (DANS). 2 indexed citations
13.
Müller, Andreas & Sven Behnke. (2014). PyStruct: learning structured prediction in python. Journal of Machine Learning Research. 15(1). 2055–2060. 46 indexed citations
14.
Müller, Andreas & Sven Behnke. (2014). Learning depth-sensitive conditional random fields for semantic segmentation of RGB-D images. 51 indexed citations
15.
Pisanty, Gideon, Jerome G. Rozen, Andreas Müller, et al.. (2014). Nests, Floral Preferences, and Immatures of the BeeHaetosmia vechti(Hymenoptera: Megachilidae: Osmiini). American Museum Novitates. 3808(3808). 1–20. 12 indexed citations
16.
Schulz, Hannes, Andreas Müller, & Sven Behnke. (2010). Investigating Convergence of Restricted Boltzmann Machine Learning. Neural Information Processing Systems. 18 indexed citations
17.
Müller, Andreas, Hannes Schulz, & Sven Behnke. (2010). Topological features in locally connected RBMs. 20. 1–6. 3 indexed citations
18.
Stetter, M., Andreas Müller, & Elmar W. Lang. (1994). Neural network model for the coordinated formation of orientation preference and orientation selectivity maps. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 50(5). 4167–4181. 9 indexed citations
19.
Stetter, M., Elmar W. Lang, & Andreas Müller. (1993). Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks. Biological Cybernetics. 68(5). 465–476. 8 indexed citations
20.
Drechsler, Markus & Andreas Müller. (1968). Zur gleichgewichtsform reiner metalleinkristalle. Journal of Crystal Growth. 3-4. 518–522. 11 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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