Katharina Krischer
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Electrochemistry top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- G. ErtlVladimir Garcı́a-MoralesM. EiswirthG. FlätgenLennart SchmidtNadia MazouzAntoine BonnefontHamilton Varela
- Topics
- Nonlinear Dynamics and Pattern Formation (95 papers)Electrochemical Analysis and Applications (47 papers)Electrocatalysts for Energy Conversion (31 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Katharina Krischer
147 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Networks and Communications 2.3k
- Statistical and Nonlinear Physics 1.2k
- Atomic and Molecular Physics, and Optics 966
- Electrochemistry 882
- Electrical and Electronic Engineering 698
Countries citing papers authored by Katharina Krischer
This map shows the geographic impact of Katharina Krischer'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 Katharina Krischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Krischer more than expected).
Fields of papers citing papers by Katharina Krischer
This network shows the impact of papers produced by Katharina Krischer. 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 Katharina Krischer. The network helps show where Katharina Krischer may publish in the future.
Co-authorship network of co-authors of Katharina Krischer
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Krischer. A scholar is included among the top collaborators of Katharina Krischer 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 Katharina Krischer. Katharina Krischer 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | An Equal Space for Complex Data with Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning | 1 |
| 12 | 8 | |
| 13 | 50 | |
| 14 | 104 | |
| 15 | 13 | |
| 16 | 19 | |
| 17 | 21 | |
| 18 | 27 | |
| 19 | 39 | |
| 20 | 85 |
About Katharina Krischer
Katharina Krischer is a scholar working on Electrochemistry, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 153 papers that have together received 4.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (95 papers), Electrochemical Analysis and Applications (47 papers) and Electrocatalysts for Energy Conversion (31 papers). The work is most often cited by research in Electrochemistry (882 citations), Computer Networks and Communications (2.3k citations) and Statistical and Nonlinear Physics (1.2k citations). Katharina Krischer has collaborated with scholars based in Germany, France and United States. Frequent co-authors include G. Ertl, Vladimir Garcı́a-Morales, M. Eiswirth, G. Flätgen, Lennart Schmidt, Nadia Mazouz, Antoine Bonnefont, Hamilton Varela, Alexander S. Mikhailov and Konrad Schönleber. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.