Marianna Bolla
- Statistical and Nonlinear Physics top 10%
- Geometry and Topology top 5%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Statistics and Probability top 10%
- Co-authors
- Gábor TusnádyKatalin FriedlBrian BullinsHannu ReittuIlkka NorrosTomi RätyFülöp BazsóAndrás Krámli
- Topics
- Graph theory and applications (17 papers)Complex Network Analysis Techniques (10 papers)Random Matrices and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaEcological ModellingLinear Algebra and its Applications
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Marianna Bolla
29 papers receiving 204 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 72
- Geometry and Topology 68
- Artificial Intelligence 51
- Computational Theory and Mathematics 48
- Statistics and Probability 42
Countries citing papers authored by Marianna Bolla
This map shows the geographic impact of Marianna Bolla'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 Marianna Bolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianna Bolla more than expected).
Fields of papers citing papers by Marianna Bolla
This network shows the impact of papers produced by Marianna Bolla. 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 Marianna Bolla. The network helps show where Marianna Bolla may publish in the future.
Co-authorship network of co-authors of Marianna Bolla
This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Bolla. A scholar is included among the top collaborators of Marianna Bolla 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 Marianna Bolla. Marianna Bolla 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 | 1 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | Dynamic Factors of Macroeconomic Data | 1 |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 10 | |
| 14 | Wigner-noise on random matrices with remarkable linear structure (applicable to cellular networks) | 1 |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 15 | |
| 20 | 50 |
About Marianna Bolla
Marianna Bolla is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Statistics and Probability, having authored 30 papers that have together received 213 indexed citations. Recurring topics across this work include Graph theory and applications (17 papers), Complex Network Analysis Techniques (10 papers) and Random Matrices and Applications (7 papers). The work is most often cited by research in Computational Mathematics (11 citations), Discrete Mathematics and Combinatorics (26 citations) and Geometry and Topology (68 citations). Marianna Bolla has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Gábor Tusnády, Katalin Friedl, Brian Bullins, Hannu Reittu, Ilkka Norros, Tomi Räty, Fülöp Bazsó, András Krámli, Tamás Szabados and Tamás Kói. Their work appears in journals such as SHILAP Revista de lepidopterología, Ecological Modelling and Linear Algebra and its Applications.
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.