Frauke Friedrichs
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Christian IgelMichael SchmittStephan SchwersKirstin ThelenHuijun ChenRon T. GansevoortDavid C. WheelerAlexander Solms
- Topics
- Neural Networks and Applications (3 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- GermanyNetherlandsSpain
In The Last Decade
Frauke Friedrichs
7 papers receiving 396 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 218
- Computer Vision and Pattern Recognition 90
- Control and Systems Engineering 57
- Electrical and Electronic Engineering 47
- Computational Theory and Mathematics 40
Countries citing papers authored by Frauke Friedrichs
This map shows the geographic impact of Frauke Friedrichs'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 Frauke Friedrichs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frauke Friedrichs more than expected).
Fields of papers citing papers by Frauke Friedrichs
This network shows the impact of papers produced by Frauke Friedrichs. 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 Frauke Friedrichs. The network helps show where Frauke Friedrichs may publish in the future.
Co-authorship network of co-authors of Frauke Friedrichs
This figure shows the co-authorship network connecting the top 25 collaborators of Frauke Friedrichs. A scholar is included among the top collaborators of Frauke Friedrichs 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 Frauke Friedrichs. Frauke Friedrichs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 374 | |
| 6 | Evolutionary tuning of multiple SVM parameters. | 15 |
| 7 | 10 |
About Frauke Friedrichs
Frauke Friedrichs is a scholar working on Genetics, Nephrology and Artificial Intelligence, having authored 7 papers that have together received 421 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (218 citations), Computer Vision and Pattern Recognition (90 citations) and Computational Theory and Mathematics (40 citations). Frauke Friedrichs has collaborated with scholars based in Germany, Netherlands and Spain. Frequent co-authors include Christian Igel, Michael Schmitt, Stephan Schwers, Kirstin Thelen, Huijun Chen, Ron T. Gansevoort, David C. Wheeler, Alexander Solms, Stefan Klein and Stefan Willmann. Their work appears in journals such as Neurocomputing, Nephrology Dialysis Transplantation and Clinical and Translational Science.
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.