Marvin Künnemann
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Computer Vision and Pattern Recognition
- Co-authors
- Benjamin DoerrKarl BringmannTobias FriedrichCarola DoerrThomas SauerwaldRamamohan PaturiKasper Green LarsenBodo Manthey
- Topics
- Complexity and Algorithms in Graphs (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)Computational Geometry and Mesh Generation (4 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaTheoretical Computer ScienceAlgorithmica
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Marvin Künnemann
18 papers receiving 138 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 84
- Computational Theory and Mathematics 51
- Computer Networks and Communications 32
- Statistical and Nonlinear Physics 15
- Computer Vision and Pattern Recognition 13
Countries citing papers authored by Marvin Künnemann
This map shows the geographic impact of Marvin Künnemann'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 Marvin Künnemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin Künnemann more than expected).
Fields of papers citing papers by Marvin Künnemann
This network shows the impact of papers produced by Marvin Künnemann. 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 Marvin Künnemann. The network helps show where Marvin Künnemann may publish in the future.
Co-authorship network of co-authors of Marvin Künnemann
This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Künnemann. A scholar is included among the top collaborators of Marvin Künnemann 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 Marvin Künnemann. Marvin Künnemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Smoothed Approximation Ratio of the 2-Opt Heuristic for the TSP | 1 |
| 12 | 0 | |
| 13 | 38 | |
| 14 | 37 | |
| 15 | 4 | |
| 16 | 9 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 21 |
About Marvin Künnemann
Marvin Künnemann is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Signal Processing, having authored 19 papers that have together received 142 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Computational Geometry and Mesh Generation (4 papers). The work is most often cited by research in Computational Theory and Mathematics (51 citations), Artificial Intelligence (84 citations) and Computer Graphics and Computer-Aided Design (5 citations). Marvin Künnemann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Benjamin Doerr, Karl Bringmann, Tobias Friedrich, Carola Doerr, Thomas Sauerwald, Ramamohan Paturi, Kasper Green Larsen, Bodo Manthey, Ning Chen and Peihan Miao. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Algorithmica.
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.