Yannik Schälte
- Molecular Biology
- Artificial Intelligence
- Modeling and Simulation top 10%
- Statistics and Probability
- Genetics
- Co-authors
- Jan HasenauerLeonard SchmiesterPaul StaporFabian FröhlichDaniel WeindlEmmanuel KlingerUllrich KötheElba Raimúndez
- Topics
- Gaussian Processes and Bayesian Inference (6 papers)Gene Regulatory Network Analysis (5 papers)Markov Chains and Monte Carlo Methods (4 papers)
- Partner nations
- GermanyUnited StatesDenmark
In The Last Decade
Yannik Schälte
13 papers receiving 147 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 66
- Artificial Intelligence 29
- Modeling and Simulation 25
- Statistics and Probability 18
- Genetics 16
Countries citing papers authored by Yannik Schälte
This map shows the geographic impact of Yannik Schälte'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 Yannik Schälte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannik Schälte more than expected).
Fields of papers citing papers by Yannik Schälte
This network shows the impact of papers produced by Yannik Schälte. 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 Yannik Schälte. The network helps show where Yannik Schälte may publish in the future.
Co-authorship network of co-authors of Yannik Schälte
This figure shows the co-authorship network connecting the top 25 collaborators of Yannik Schälte. A scholar is included among the top collaborators of Yannik Schälte 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 Yannik Schälte. Yannik Schälte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 21 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 23 | |
| 14 | 9 |
About Yannik Schälte
Yannik Schälte is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence, having authored 14 papers that have together received 152 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (6 papers), Gene Regulatory Network Analysis (5 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Modeling and Simulation (25 citations), Statistics and Probability (18 citations) and Computational Mathematics (1 citation). Yannik Schälte has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Jan Hasenauer, Leonard Schmiester, Paul Stapor, Fabian Fröhlich, Daniel Weindl, Emmanuel Klinger, Ullrich Köthe, Elba Raimúndez, Frederik Graw and Stefan T. Radev. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.
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.