Felix Reidl
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Artificial Intelligence
- Discrete Mathematics and Combinatorics top 10%
- Computer Networks and Communications
- Co-authors
- Somnath SikdarPeter RossmanithAlexander LangerBlair D. SullivanEun Jung KimChristophe PaulIgnasi SauTaylor Reiter
- Topics
- Advanced Graph Theory Research (10 papers)Complexity and Algorithms in Graphs (9 papers)Limits and Structures in Graph Theory (3 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsComputer Graphics and Computer-Aided Design
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Felix Reidl
16 papers receiving 120 citations
Peers
Comparison fields: 5 of 36
- Computational Theory and Mathematics 85
- Molecular Biology 28
- Artificial Intelligence 23
- Discrete Mathematics and Combinatorics 20
- Computer Networks and Communications 19
Countries citing papers authored by Felix Reidl
This map shows the geographic impact of Felix Reidl'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 Felix Reidl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Reidl more than expected).
Fields of papers citing papers by Felix Reidl
This network shows the impact of papers produced by Felix Reidl. 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 Felix Reidl. The network helps show where Felix Reidl may publish in the future.
Co-authorship network of co-authors of Felix Reidl
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Reidl. A scholar is included among the top collaborators of Felix Reidl 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 Felix Reidl. Felix Reidl 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 | 2 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Structural sparseness and complex networks | 4 |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 14 | |
| 16 | Structural Sparsity of Complex Networks: Random Graph Models and Linear Algorithms. | 3 |
| 17 | Kernelization Using Structural Parameters on Sparse Graph Classes | 10 |
| 18 | 11 |
About Felix Reidl
Felix Reidl is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 125 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (10 papers), Complexity and Algorithms in Graphs (9 papers) and Limits and Structures in Graph Theory (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (20 citations), Computational Theory and Mathematics (85 citations) and Computer Graphics and Computer-Aided Design (8 citations). Felix Reidl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Somnath Sikdar, Peter Rossmanith, Alexander Langer, Blair D. Sullivan, Eun Jung Kim, Christophe Paul, Ignasi Sau, Taylor Reiter, Dominik Moritz and C. Titus Brown. Their work appears in journals such as Genome biology, Journal of Computer and System Sciences and Journal of Clinical Medicine.
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.