Lorenz K. Müller
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Giacomo IndiveriManu V NairTobi DelbrückChristian BrändliJulien MartelStephen J. CareyPiotr DudekMelika Payvand
- Topics
- Neural dynamics and brain function (9 papers)Advanced Memory and Neural Computing (8 papers)Neural Networks and Applications (4 papers)
- Journals
- Nature CommunicationsIEEE Transactions on Pattern Analysis and Machine IntelligenceNeural Computation
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Lorenz K. Müller
19 papers receiving 406 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 268
- Cognitive Neuroscience 126
- Cellular and Molecular Neuroscience 107
- Artificial Intelligence 88
- Computer Vision and Pattern Recognition 87
Countries citing papers authored by Lorenz K. Müller
This map shows the geographic impact of Lorenz K. 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 Lorenz K. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz K. Müller more than expected).
Fields of papers citing papers by Lorenz K. Müller
This network shows the impact of papers produced by Lorenz K. 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 Lorenz K. Müller. The network helps show where Lorenz K. Müller may publish in the future.
Co-authorship network of co-authors of Lorenz K. Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenz K. Müller. A scholar is included among the top collaborators of Lorenz K. 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 Lorenz K. Müller. Lorenz K. 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 | 0 | |
| 2 | 2 | |
| 3 | 64 | |
| 4 | 4 | |
| 5 | 57 | |
| 6 | 16 | |
| 7 | 17 | |
| 8 | 30 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 42 | |
| 14 | 9 | |
| 15 | 76 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | SUBSTATION LIFE CYCLE COST MANAGEMENT SUPPORTED BY STOCHASTIC OPTIMIZATION ALGORITHM | 11 |
| 19 | 8 | |
| 20 | 41 |
About Lorenz K. Müller
Lorenz K. Müller is a scholar working on Cognitive Neuroscience, Media Technology and Immunology and Allergy, having authored 20 papers that have together received 423 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Instrumentation (23 citations), Acoustics and Ultrasonics (6 citations) and Cognitive Neuroscience (126 citations). Lorenz K. Müller has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Giacomo Indiveri, Manu V Nair, Tobi Delbrück, Christian Brändli, Julien Martel, Stephen J. Carey, Piotr Dudek, Melika Payvand, Hesham Mostafa and Gordon Wetzstein. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Computation.
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.