Srečko Brlek
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Mathematical Physics top 10%
- Co-authors
- Christophe ReutenauerJean BerstelFrançois BergeronMaurice NivatSylvie HamelGilbert LabelleLaurent VuillonJacques‐Olivier Lachaud
- Topics
- semigroups and automata theory (25 papers)Cellular Automata and Applications (12 papers)Algorithms and Data Compression (11 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionPattern Recognition Letters
In The Last Decade
Srečko Brlek
43 papers receiving 378 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 319
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 68
- Molecular Biology 62
- Mathematical Physics 56
Countries citing papers authored by Srečko Brlek
This map shows the geographic impact of Srečko Brlek'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 Srečko Brlek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srečko Brlek more than expected).
Fields of papers citing papers by Srečko Brlek
This network shows the impact of papers produced by Srečko Brlek. 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 Srečko Brlek. The network helps show where Srečko Brlek may publish in the future.
Co-authorship network of co-authors of Srečko Brlek
This figure shows the co-authorship network connecting the top 25 collaborators of Srečko Brlek. A scholar is included among the top collaborators of Srečko Brlek 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 Srečko Brlek. Srečko Brlek 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 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | A square tile lls the plane by translation in at most two distinct ways I | 1 |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 73 | |
| 20 | 3 |
About Srečko Brlek
Srečko Brlek is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Mathematical Physics, having authored 45 papers that have together received 423 indexed citations. Recurring topics across this work include semigroups and automata theory (25 papers), Cellular Automata and Applications (12 papers) and Algorithms and Data Compression (11 papers). The work is most often cited by research in Computational Theory and Mathematics (319 citations), Discrete Mathematics and Combinatorics (51 citations) and Artificial Intelligence (216 citations). Srečko Brlek has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Christophe Reutenauer, Jean Berstel, François Bergeron, Maurice Nivat, Sylvie Hamel, Gilbert Labelle, Laurent Vuillon, Jacques‐Olivier Lachaud, André Arnold and John Mullins. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Pattern Recognition Letters.
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.