Uwe Schöning
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Gastroenterology top 2%
- Surgery
- Co-authors
- Johannes KöblerJacobo ToránJosé L. BalcázarRonald V. BookKer‐I KoRoger JonesNimish VakilTore Lind
- Topics
- Computability, Logic, AI Algorithms (24 papers)Complexity and Algorithms in Graphs (20 papers)semigroups and automata theory (13 papers)
- Journals
- BioinformaticsGutJournal of the ACM
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Uwe Schöning
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 1.3k
- Artificial Intelligence 813
- Computer Networks and Communications 233
- Gastroenterology 233
- Surgery 224
Countries citing papers authored by Uwe Schöning
This map shows the geographic impact of Uwe Schöning'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 Uwe Schöning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Schöning more than expected).
Fields of papers citing papers by Uwe Schöning
This network shows the impact of papers produced by Uwe Schöning. 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 Uwe Schöning. The network helps show where Uwe Schöning may publish in the future.
Co-authorship network of co-authors of Uwe Schöning
This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Schöning. A scholar is included among the top collaborators of Uwe Schöning 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 Uwe Schöning. Uwe Schöning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 243 | |
| 3 | 5 | |
| 4 | Randomized Quicksort and the Entropy of the Random Number Generator | 1 |
| 5 | 78 | |
| 6 | Better Expanders and Superconcentrators by Kolmogorov Complexity. | 2 |
| 7 | Complexity theory and interaction | 2 |
| 8 | Logik für Informatiker | 6 |
| 9 | Complexity theory: current research | 34 |
| 10 | 23 | |
| 11 | 66 | |
| 12 | Robust Orale Machines | 1 |
| 13 | Lowness and probabilistic complexity classes. | 3 |
| 14 | 54 | |
| 15 | 18 | |
| 16 | 9 | |
| 17 | 62 | |
| 18 | 15 | |
| 19 | 86 | |
| 20 | 47 |
About Uwe Schöning
Uwe Schöning is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (24 papers), Complexity and Algorithms in Graphs (20 papers) and semigroups and automata theory (13 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Gastroenterology (233 citations) and Artificial Intelligence (813 citations). Uwe Schöning has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Johannes Köbler, Jacobo Torán, José L. Balcázar, Ronald V. Book, Ker‐I Ko, Roger Jones, Nimish Vakil, Tore Lind, Ola Junghard and Peter Bytzer. Their work appears in journals such as Bioinformatics, Gut and Journal of the ACM.
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.