Matthias Kuhl
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Computer Networks and Communications
- Co-authors
- Yiannos ManoliOliver PaulPatrick RutherD. RoßbachMarcus HerrmannHolger ReineckeClaas MüllerBernd G. Lapatki
- Topics
- Neuroscience and Neural Engineering (21 papers)Advanced Memory and Neural Computing (17 papers)Analog and Mixed-Signal Circuit Design (15 papers)
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Solid-State CircuitsIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- Germany
In The Last Decade
Matthias Kuhl
39 papers receiving 278 citations
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 230
- Cellular and Molecular Neuroscience 170
- Biomedical Engineering 136
- Cognitive Neuroscience 87
- Computer Networks and Communications 15
Countries citing papers authored by Matthias Kuhl
This map shows the geographic impact of Matthias Kuhl'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 Kuhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kuhl more than expected).
Fields of papers citing papers by Matthias Kuhl
This network shows the impact of papers produced by Matthias Kuhl. 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 Kuhl. The network helps show where Matthias Kuhl may publish in the future.
Co-authorship network of co-authors of Matthias Kuhl
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kuhl. A scholar is included among the top collaborators of Matthias Kuhl 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 Kuhl. Matthias Kuhl 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 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 70 | |
| 19 | 49 | |
| 20 | 10 |
About Matthias Kuhl
Matthias Kuhl is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering, having authored 43 papers that have together received 286 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (21 papers), Advanced Memory and Neural Computing (17 papers) and Analog and Mixed-Signal Circuit Design (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (170 citations), Cognitive Neuroscience (87 citations) and Electrical and Electronic Engineering (230 citations). Matthias Kuhl has collaborated with scholars based in Germany. Frequent co-authors include Yiannos Manoli, Oliver Paul, Patrick Ruther, D. Roßbach, Marcus Herrmann, Holger Reinecke, Claas Müller, Bernd G. Lapatki, Matthias Keller and Ingo Freund. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.
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.