Michael Schwaerzle
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Condensed Matter Physics
- Co-authors
- Patrick RutherOliver PaulUlrich T. SchwarzKarsten SeidlGerhard HochTobias MoserDaniel KeppelerChristian Goßler
- Topics
- Neuroscience and Neural Engineering (18 papers)Photoreceptor and optogenetics research (17 papers)Neural dynamics and brain function (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScience Translational MedicineJournal of Physics D Applied Physics
- Partner nations
- GermanyUnited KingdomHungary
In The Last Decade
Michael Schwaerzle
19 papers receiving 475 citations
Peers
Comparison fields: 5 of 46
- Cellular and Molecular Neuroscience 389
- Biomedical Engineering 164
- Cognitive Neuroscience 159
- Electrical and Electronic Engineering 139
- Condensed Matter Physics 49
Countries citing papers authored by Michael Schwaerzle
This map shows the geographic impact of Michael Schwaerzle'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 Michael Schwaerzle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schwaerzle more than expected).
Fields of papers citing papers by Michael Schwaerzle
This network shows the impact of papers produced by Michael Schwaerzle. 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 Michael Schwaerzle. The network helps show where Michael Schwaerzle may publish in the future.
Co-authorship network of co-authors of Michael Schwaerzle
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schwaerzle. A scholar is included among the top collaborators of Michael Schwaerzle 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 Michael Schwaerzle. Michael Schwaerzle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 60 | |
| 4 | 7 | |
| 5 | 31 | |
| 6 | 47 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 18 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 142 | |
| 17 | 17 | |
| 18 | 39 | |
| 19 | 44 |
About Michael Schwaerzle
Michael Schwaerzle is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 19 papers that have together received 486 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (18 papers), Photoreceptor and optogenetics research (17 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (389 citations), Cognitive Neuroscience (159 citations) and Condensed Matter Physics (49 citations). Michael Schwaerzle has collaborated with scholars based in Germany, United Kingdom and Hungary. Frequent co-authors include Patrick Ruther, Oliver Paul, Ulrich T. Schwarz, Karsten Seidl, Gerhard Hoch, Tobias Moser, Daniel Keppeler, Christian Goßler, István Ulbert and K. Köhler. Their work appears in journals such as SHILAP Revista de lepidopterología, Science Translational Medicine and Journal of Physics D Applied Physics.
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.