Sonja Georgievska
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Lars RidderVincent T. van HeesSuzana AndovaLi C. XueNicolas RenaudFrancesco AmbrosettiCunliang GengManon Réau
- Topics
- Formal Methods in Verification (6 papers)Logic, Reasoning, and Knowledge (3 papers)Logic, programming, and type systems (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Sonja Georgievska
18 papers receiving 260 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 77
- Computational Theory and Mathematics 64
- Artificial Intelligence 53
- Computer Vision and Pattern Recognition 38
- Experimental and Cognitive Psychology 35
Countries citing papers authored by Sonja Georgievska
This map shows the geographic impact of Sonja Georgievska'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 Sonja Georgievska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Georgievska more than expected).
Fields of papers citing papers by Sonja Georgievska
This network shows the impact of papers produced by Sonja Georgievska. 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 Sonja Georgievska. The network helps show where Sonja Georgievska may publish in the future.
Co-authorship network of co-authors of Sonja Georgievska
This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Georgievska. A scholar is included among the top collaborators of Sonja Georgievska 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 Sonja Georgievska. Sonja Georgievska 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 | 4 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 76 | |
| 6 | 64 | |
| 7 | 37 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | Performance analysis of chi models using discrete-time probabilistic reward graphs | 2 |
| 18 | 5 | |
| 19 | 4 |
About Sonja Georgievska
Sonja Georgievska is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Ecological Modeling, having authored 19 papers that have together received 270 indexed citations. Recurring topics across this work include Formal Methods in Verification (6 papers), Logic, Reasoning, and Knowledge (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (64 citations), Experimental and Cognitive Psychology (35 citations) and Software (8 citations). Sonja Georgievska has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Lars Ridder, Vincent T. van Hees, Suzana Andova, Li C. Xue, Nicolas Renaud, Francesco Ambrosetti, Cunliang Geng, Manon Réau, Alexandre M. J. J. Bonvin and Nikola Trčka. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.
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.