Thomas Worsch
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Ocean Engineering
- Molecular Biology
- Artificial Intelligence
- Topics
- Cellular Automata and Applications (16 papers)Computability, Logic, AI Algorithms (5 papers)DNA and Biological Computing (5 papers)
In The Last Decade
Thomas Worsch
18 papers receiving 129 citations
Peers
Comparison fields: 5 of 56
- Computational Theory and Mathematics 73
- Computer Networks and Communications 37
- Ocean Engineering 26
- Molecular Biology 18
- Artificial Intelligence 17
Countries citing papers authored by Thomas Worsch
This map shows the geographic impact of Thomas Worsch'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 Thomas Worsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Worsch more than expected).
Fields of papers citing papers by Thomas Worsch
This network shows the impact of papers produced by Thomas Worsch. 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 Thomas Worsch. The network helps show where Thomas Worsch may publish in the future.
Co-authorship network of co-authors of Thomas Worsch
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Worsch. A scholar is included among the top collaborators of Thomas Worsch 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 Thomas Worsch. Thomas Worsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | Changing the Neighborhood of Cellular Automata: Local Structure, Equivalence and Isomorphism. | 3 |
| 5 | Achieving Universality of CA by Changing the Neighborhood. | 2 |
| 6 | 1 | |
| 7 | Cellular automata: energy consumption and physical feasibility | 0 |
| 8 | 1 | |
| 9 | Formal language recognition by stochastic cellular automata | 2 |
| 10 | 30 | |
| 11 | Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata | 4 |
| 12 | 3 | |
| 13 | 65 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | Investigation of Different Input Modes for Cellular Automata. | 3 |
| 20 | Broadcast-bus elimination without any loss of time efficiency in iterative (cellular or systolic) arrays | 0 |
About Thomas Worsch
Thomas Worsch is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Algebra and Number Theory, having authored 21 papers that have together received 136 indexed citations. Recurring topics across this work include Cellular Automata and Applications (16 papers), Computability, Logic, AI Algorithms (5 papers) and DNA and Biological Computing (5 papers). The work is most often cited by research in Computational Theory and Mathematics (73 citations), Ocean Engineering (26 citations) and Transportation (11 citations). Thomas Worsch has collaborated with scholars based in Germany, Japan and Italy. Frequent co-authors include Stefania Bandini, Martin Kutrib, Daniel Merkle, Peter Sanders and Hiroshi Umeo. Their work appears in journals such as Future Generation Computer Systems, 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.