Cezar Câmpeanu
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Software
- Information Systems
- Co-authors
- Sheng YüKai SalomaaAndrei PăunS. YuShengsheng YuCristian S. CaludeRogério ReisNelma Moreira
- Topics
- semigroups and automata theory (23 papers)DNA and Biological Computing (17 papers)Machine Learning and Algorithms (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaTheoretical Computer ScienceComplexity
- Partner nations
- CanadaUnited StatesRomania
In The Last Decade
Cezar Câmpeanu
25 papers receiving 194 citations
Peers
Comparison fields: 5 of 15
- Computational Theory and Mathematics 175
- Artificial Intelligence 172
- Molecular Biology 93
- Software 19
- Information Systems 16
Countries citing papers authored by Cezar Câmpeanu
This map shows the geographic impact of Cezar Câmpeanu'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 Cezar Câmpeanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cezar Câmpeanu more than expected).
Fields of papers citing papers by Cezar Câmpeanu
This network shows the impact of papers produced by Cezar Câmpeanu. 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 Cezar Câmpeanu. The network helps show where Cezar Câmpeanu may publish in the future.
Co-authorship network of co-authors of Cezar Câmpeanu
This figure shows the co-authorship network connecting the top 25 collaborators of Cezar Câmpeanu. A scholar is included among the top collaborators of Cezar Câmpeanu 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 Cezar Câmpeanu. Cezar Câmpeanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the dissimilarity operation on finite languages | 2 |
| 2 | 2 | |
| 3 | The Distinguishability Operation On Regular Languages | 2 |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | Tight Bounds for the State Complexity of Deterministic Cover Automata. | 2 |
| 8 | 4 | |
| 9 | 5 | |
| 10 | On Pattern Expression Languages | 2 |
| 11 | Results on Transforming NFA into DFCA | 3 |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 0 | |
| 15 | 49 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | State Complexity of Basic Operations on Finite Languages | 7 |
| 19 | Minimal Cover-Automata for Finite Languages | 3 |
| 20 | 2 |
About Cezar Câmpeanu
Cezar Câmpeanu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology, having authored 28 papers that have together received 211 indexed citations. Recurring topics across this work include semigroups and automata theory (23 papers), DNA and Biological Computing (17 papers) and Machine Learning and Algorithms (8 papers). The work is most often cited by research in Computational Theory and Mathematics (175 citations), Artificial Intelligence (172 citations) and Software (19 citations). Cezar Câmpeanu has collaborated with scholars based in Canada, United States and Romania. Frequent co-authors include Sheng Yü, Kai Salomaa, Andrei Păun, S. Yu, Shengsheng Yu, Cristian S. Calude, Rogério Reis, Nelma Moreira, Lila Kari and Sándor Vágvölgyi. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Complexity.
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.