Lutz Molgedey
- Signal Processing top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- H. G. SchusterW. EbelingHeinz Georg SchusterJohannes SchuchhardtRalf SteuerM.A. Jiménez-MontañoА. Н. ПавловВ. С. Анищенко
- Topics
- Complex Systems and Time Series Analysis (4 papers)Chaos control and synchronization (3 papers)Neural Networks and Applications (2 papers)
- Journals
- Physical Review LettersPhysica A Statistical Mechanics and its ApplicationsThe European Physical Journal B
- Partner nations
- GermanyUnited StatesMexico
In The Last Decade
Lutz Molgedey
8 papers receiving 764 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Signal Processing 302
- Molecular Biology 218
- Cognitive Neuroscience 198
- Artificial Intelligence 180
- Statistical and Nonlinear Physics 132
Countries citing papers authored by Lutz Molgedey
This map shows the geographic impact of Lutz Molgedey'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 Lutz Molgedey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lutz Molgedey more than expected).
Fields of papers citing papers by Lutz Molgedey
This network shows the impact of papers produced by Lutz Molgedey. 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 Lutz Molgedey. The network helps show where Lutz Molgedey may publish in the future.
Co-authorship network of co-authors of Lutz Molgedey
This figure shows the co-authorship network connecting the top 25 collaborators of Lutz Molgedey. A scholar is included among the top collaborators of Lutz Molgedey 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 Lutz Molgedey. Lutz Molgedey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 54 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 66 | |
| 7 | 7 | |
| 8 | Separation of a mixture of independent signals using time delayed correlationsbreakdown → | 580 |
| 9 | 89 |
About Lutz Molgedey
Lutz Molgedey is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Economics and Econometrics, having authored 9 papers that have together received 819 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (4 papers), Chaos control and synchronization (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (302 citations), Analytical Chemistry (124 citations) and Statistical and Nonlinear Physics (132 citations). Lutz Molgedey has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include H. G. Schuster, W. Ebeling, Heinz Georg Schuster, Johannes Schuchhardt, Ralf Steuer, M.A. Jiménez-Montaño, А. Н. Павлов and В. С. Анищенко. Their work appears in journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications and The European Physical Journal B.
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.