Sebastian Seibert
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Molecular Biology
- Industrial and Manufacturing Engineering top 10%
- Computer Networks and Communications
- Co-authors
- Juraj HromkovičWolfgang ThomasHans-Joachim BöckenhauerThomas WilkeAntonio RestivoDora GiammarresiHartmut KlauckJuhani Karhumäki
- Topics
- semigroups and automata theory (7 papers)DNA and Biological Computing (4 papers)Complexity and Algorithms in Graphs (4 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- Theoretical Computer ScienceJournal of Computer and System SciencesLecture notes in computer science
- Partner nations
- GermanyItalySwitzerland
In The Last Decade
Sebastian Seibert
14 papers receiving 161 citations
Peers
Comparison fields: 5 of 21
- Computational Theory and Mathematics 156
- Artificial Intelligence 87
- Molecular Biology 79
- Industrial and Manufacturing Engineering 29
- Computer Networks and Communications 26
Countries citing papers authored by Sebastian Seibert
This map shows the geographic impact of Sebastian Seibert'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 Seibert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Seibert more than expected).
Fields of papers citing papers by Sebastian Seibert
This network shows the impact of papers produced by Sebastian Seibert. 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 Seibert. The network helps show where Sebastian Seibert may publish in the future.
Co-authorship network of co-authors of Sebastian Seibert
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Seibert. A scholar is included among the top collaborators of Sebastian Seibert 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 Seibert. Sebastian Seibert 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 | 6 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 22 | |
| 12 | 11 | |
| 13 | 38 | |
| 14 | 12 |
About Sebastian Seibert
Sebastian Seibert is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 14 papers that have together received 176 indexed citations. Recurring topics across this work include semigroups and automata theory (7 papers), DNA and Biological Computing (4 papers) and Complexity and Algorithms in Graphs (4 papers). The work is most often cited by research in Computational Theory and Mathematics (156 citations), Industrial and Manufacturing Engineering (29 citations) and Artificial Intelligence (87 citations). Sebastian Seibert has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Juraj Hromkovič, Wolfgang Thomas, Hans-Joachim Böckenhauer, Thomas Wilke, Antonio Restivo, Dora Giammarresi, Hartmut Klauck, Juhani Karhumäki, Georg Schnitger and Walter Unger. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Lecture notes in computer science.
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.