Marija Vucelja
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Molecular Biology
- Genetics
- Artificial Intelligence
- Co-authors
- Konstantin TuritsynMichael ChertkovOren RazEdo KussellGregory FalkovichJennifer A. DoudnaRobert HelerAddison V. Wright
- Topics
- Advanced Thermodynamics and Statistical Mechanics (5 papers)Theoretical and Computational Physics (5 papers)Evolution and Genetic Dynamics (4 papers)
- Partner nations
- United StatesIsraelRussia
In The Last Decade
Marija Vucelja
17 papers receiving 398 citations
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 110
- Atomic and Molecular Physics, and Optics 105
- Molecular Biology 97
- Genetics 81
- Artificial Intelligence 69
Countries citing papers authored by Marija Vucelja
This map shows the geographic impact of Marija Vucelja'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 Marija Vucelja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija Vucelja more than expected).
Fields of papers citing papers by Marija Vucelja
This network shows the impact of papers produced by Marija Vucelja. 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 Marija Vucelja. The network helps show where Marija Vucelja may publish in the future.
Co-authorship network of co-authors of Marija Vucelja
This figure shows the co-authorship network connecting the top 25 collaborators of Marija Vucelja. A scholar is included among the top collaborators of Marija Vucelja 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 Marija Vucelja. Marija Vucelja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 19 | |
| 5 | 9 | |
| 6 | 90 | |
| 7 | The Mpemba index and anomalous relaxation | 0 |
| 8 | 20 | |
| 9 | 43 | |
| 10 | Fractal Iso-Contours of Passive Scalar in Two-Dimensional Smooth Random Flows | 0 |
| 11 | 3 | |
| 12 | 25 | |
| 13 | 12 | |
| 14 | 69 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 44 |
About Marija Vucelja
Marija Vucelja is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Statistics and Probability, having authored 19 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (5 papers), Theoretical and Computational Physics (5 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (17 citations), Statistical and Nonlinear Physics (110 citations) and Condensed Matter Physics (61 citations). Marija Vucelja has collaborated with scholars based in United States, Israel and Russia. Frequent co-authors include Konstantin Turitsyn, Michael Chertkov, Oren Raz, Edo Kussell, Gregory Falkovich, Jennifer A. Doudna, Robert Heler, Addison V. Wright, Luciano A. Marraffini and Avi Pe’er. Their work appears in journals such as Molecular Cell, Physics Reports and Science Advances.
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.