Matthias Freiberger
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Atomic and Molecular Physics, and Optics
- Computer Vision and Pattern Recognition
- Co-authors
- Joni DambrePeter BienstmanAndrew KatumbaDamien RontaniMarc SciamannaSebastian RisiAnders Sundnes Løvlie
- Topics
- Neural Networks and Reservoir Computing (13 papers)Optical Network Technologies (12 papers)Advanced Memory and Neural Computing (10 papers)
In The Last Decade
Matthias Freiberger
18 papers receiving 303 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 285
- Electrical and Electronic Engineering 274
- Cognitive Neuroscience 26
- Atomic and Molecular Physics, and Optics 17
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Matthias Freiberger
This map shows the geographic impact of Matthias Freiberger'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 Matthias Freiberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Freiberger more than expected).
Fields of papers citing papers by Matthias Freiberger
This network shows the impact of papers produced by Matthias Freiberger. 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 Matthias Freiberger. The network helps show where Matthias Freiberger may publish in the future.
Co-authorship network of co-authors of Matthias Freiberger
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Freiberger. A scholar is included among the top collaborators of Matthias Freiberger 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 Matthias Freiberger. Matthias Freiberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 66 | |
| 8 | Self-organized dynamic attractors in recurrent neural networks | 1 |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 81 | |
| 13 | 26 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 31 | |
| 19 | Passive integrated photonics reservoir computing with on-chip readout for telecommunication applications | 1 |
About Matthias Freiberger
Matthias Freiberger is a scholar working on Artificial Intelligence, Museology and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 328 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (13 papers), Optical Network Technologies (12 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Artificial Intelligence (285 citations), Electrical and Electronic Engineering (274 citations) and Human-Computer Interaction (8 citations). Matthias Freiberger has collaborated with scholars based in Belgium, Denmark and France. Frequent co-authors include Joni Dambre, Peter Bienstman, Andrew Katumba, Damien Rontani, Marc Sciamanna, Sebastian Risi and Anders Sundnes Løvlie. Their work appears in journals such as Scientific Reports, IEEE Transactions on Neural Networks and Learning Systems and IEEE Journal of Selected Topics in Quantum Electronics.
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.