Karl Wimmer
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Hardware and Architecture
- Discrete Mathematics and Combinatorics
- Co-authors
- Ryan O’DonnellAmir ShpilkaRocco A. ServedioParikshit GopalanEric BlaisKevin LucasElena GrigorescuNing Xie
- Topics
- Advancements in Photolithography Techniques (7 papers)Machine Learning and Algorithms (6 papers)Complexity and Algorithms in Graphs (6 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Karl Wimmer
24 papers receiving 114 citations
Peers
Comparison fields: 5 of 32
- Computational Theory and Mathematics 62
- Artificial Intelligence 57
- Electrical and Electronic Engineering 38
- Hardware and Architecture 12
- Discrete Mathematics and Combinatorics 11
Countries citing papers authored by Karl Wimmer
This map shows the geographic impact of Karl Wimmer'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 Karl Wimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Wimmer more than expected).
Fields of papers citing papers by Karl Wimmer
This network shows the impact of papers produced by Karl Wimmer. 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 Karl Wimmer. The network helps show where Karl Wimmer may publish in the future.
Co-authorship network of co-authors of Karl Wimmer
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Wimmer. A scholar is included among the top collaborators of Karl Wimmer 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 Karl Wimmer. Karl Wimmer 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 | 5 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | Real Analysis in Computer Science: A collection of Open Problems | 3 |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | New Results for Random Walk Learning. | 2 |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | Accurate Simulation of Pattern Transfer Processes Using Minkowski Operations (Special Issue on 1993 VLSI Process and Device Modeling Workshop (VPAD93)) | 1 |
| 20 | 1 |
About Karl Wimmer
Karl Wimmer is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Hardware and Architecture, having authored 28 papers that have together received 124 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (7 papers), Machine Learning and Algorithms (6 papers) and Complexity and Algorithms in Graphs (6 papers). The work is most often cited by research in Computational Theory and Mathematics (62 citations), Discrete Mathematics and Combinatorics (11 citations) and Computer Graphics and Computer-Aided Design (7 citations). Karl Wimmer has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Ryan O’Donnell, Amir Shpilka, Rocco A. Servedio, Parikshit Gopalan, Eric Blais, Kevin Lucas, Elena Grigorescu, Ning Xie, S. Selberherr and Jeffrey C. Jackson. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research and SIAM Journal on Computing.
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.