Mathias Franzius
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Signal Processing top 10%
- Co-authors
- Laurenz WiskottHenning SprekelerRoland VollgrafPietro BerkesMark DunnAlexander GepperthChristian GoerickRobert Haschke
- Topics
- Robotics and Sensor-Based Localization (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Mathias Franzius
13 papers receiving 298 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 173
- Computer Vision and Pattern Recognition 81
- Cellular and Molecular Neuroscience 74
- Artificial Intelligence 69
- Signal Processing 44
Countries citing papers authored by Mathias Franzius
This map shows the geographic impact of Mathias Franzius'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 Mathias Franzius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Franzius more than expected).
Fields of papers citing papers by Mathias Franzius
This network shows the impact of papers produced by Mathias Franzius. 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 Mathias Franzius. The network helps show where Mathias Franzius may publish in the future.
Co-authorship network of co-authors of Mathias Franzius
This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Franzius. A scholar is included among the top collaborators of Mathias Franzius 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 Mathias Franzius. Mathias Franzius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Visual Localization and Mapping with Hybrid SFA | 0 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 43 | |
| 9 | 1 | |
| 10 | 40 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 139 | |
| 15 | Unsupervised Learning of Place Cells, Head-Direction Cells, and Spatial-View Cells with Slow Feature Analysis on Quasi-Natural Videos | 1 |
| 16 | 49 |
About Mathias Franzius
Mathias Franzius is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 16 papers that have together received 313 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (173 citations), Signal Processing (44 citations) and Cellular and Molecular Neuroscience (74 citations). Mathias Franzius has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Laurenz Wiskott, Henning Sprekeler, Roland Vollgraf, Pietro Berkes, Mark Dunn, Alexander Gepperth, Christian Goerick, Robert Haschke, Thomas Hermann and Heiko Wersing. Their work appears in journals such as PLoS ONE, PLoS Computational Biology 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.