Sebastian Schlag
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Peter SandersChristian SchulzHenning MeyerhenkeIngo MüllerÜmit V. ÇatalyürekKaren DevineDorothea Wagner
- Topics
- VLSI and FPGA Design Techniques (8 papers)Interconnection Networks and Systems (5 papers)Advanced Graph Theory Research (3 papers)
- Journals
- ACM Computing SurveysACM Transactions on AlgorithmsACM Journal of Experimental Algorithmics
- Partner nations
- GermanyUnited States
In The Last Decade
Sebastian Schlag
13 papers receiving 171 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 77
- Electrical and Electronic Engineering 64
- Hardware and Architecture 62
- Computer Vision and Pattern Recognition 44
- Artificial Intelligence 44
Countries citing papers authored by Sebastian Schlag
This map shows the geographic impact of Sebastian Schlag'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 Sebastian Schlag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Schlag more than expected).
Fields of papers citing papers by Sebastian Schlag
This network shows the impact of papers produced by Sebastian Schlag. 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 Sebastian Schlag. The network helps show where Sebastian Schlag may publish in the future.
Co-authorship network of co-authors of Sebastian Schlag
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Schlag. A scholar is included among the top collaborators of Sebastian Schlag 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 Sebastian Schlag. Sebastian Schlag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 28 | |
| 3 | 53 | |
| 4 | 1 | |
| 5 | Advanced Flow-Based Multilevel Hypergraph Partitioning | 2 |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 20 | |
| 10 | 27 | |
| 11 | KaHIP - Karlsruhe High Quality Partitioning | 4 |
| 12 | 1 | |
| 13 | 13 |
About Sebastian Schlag
Sebastian Schlag is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 13 papers that have together received 177 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (8 papers), Interconnection Networks and Systems (5 papers) and Advanced Graph Theory Research (3 papers). The work is most often cited by research in Hardware and Architecture (62 citations), Computational Mathematics (3 citations) and Computer Networks and Communications (77 citations). Sebastian Schlag has collaborated with scholars based in Germany and United States. Frequent co-authors include Peter Sanders, Christian Schulz, Henning Meyerhenke, Ingo Müller, Ümit V. Çatalyürek, Karen Devine and Dorothea Wagner. Their work appears in journals such as ACM Computing Surveys, ACM Transactions on Algorithms and ACM Journal of Experimental Algorithmics.
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.