Andreas Müller
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Materials Chemistry
- Mechanical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Sven BehnkeMarkus DrechslerChristophe CopéretAleix Comas‐VivesHannes SchulzElmar W. LangM. StetterAndreas Taras
- Topics
- Catalytic Processes in Materials Science (5 papers)Force Microscopy Techniques and Applications (3 papers)Catalysts for Methane Reforming (3 papers)
- Journals
- The Journal of Physical ChemistryThe Journal of Physical Chemistry CPhysical Chemistry Chemical Physics
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Andreas Müller
25 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 128
- Materials Chemistry 108
- Mechanical Engineering 96
- Electrical and Electronic Engineering 91
Countries citing papers authored by Andreas Müller
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | Shape and Surface Morphology of Copper Nanoparticles under CO₂ Hydrogenation Conditions from First Principles | 1 |
| 11 | 18 | |
| 12 | Meta learning for defaults: symbolic defaults | 2 |
| 13 | PyStruct: learning structured prediction in python | 46 |
| 14 | 51 | |
| 15 | 12 | |
| 16 | Investigating Convergence of Restricted Boltzmann Machine Learning | 18 |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 11 |
About Andreas Müller
Andreas Müller is a scholar working on Catalysis, Metals and Alloys and Process Chemistry and Technology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (5 papers), Force Microscopy Techniques and Applications (3 papers) and Catalysts for Methane Reforming (3 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Health Informatics (9 citations) and Computer Vision and Pattern Recognition (128 citations). Andreas Müller has collaborated with scholars based in Germany, Switzerland and Spain. Frequent 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. Their work appears in journals such as The Journal of Physical Chemistry, The Journal of Physical Chemistry C and Physical Chemistry Chemical Physics.
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.