Jovana Džunić
- Numerical Analysis top 0.5%
- Computational Theory and Mathematics top 1%
- Modeling and Simulation top 1%
- Computational Mechanics top 10%
- Education top 10%
- Co-authors
- Miodrag S. PetkovićBeny NetaLjiljana D. PetkovićMi Young LeeChangbum ChunSonja IlićXiaofeng WangTie Zhang
- Topics
- Iterative Methods for Nonlinear Equations (21 papers)Advanced Optimization Algorithms Research (19 papers)Matrix Theory and Algorithms (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematics and ComputationComputers & Mathematics with Applications
- Partner nations
- SerbiaUnited StatesSouth Korea
In The Last Decade
Jovana Džunić
22 papers receiving 867 citations
Peers
Comparison fields: 5 of 38
- Numerical Analysis 888
- Computational Theory and Mathematics 461
- Modeling and Simulation 239
- Computational Mechanics 121
- Education 80
Countries citing papers authored by Jovana Džunić
This map shows the geographic impact of Jovana Džunić'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 Jovana Džunić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jovana Džunić more than expected).
Fields of papers citing papers by Jovana Džunić
This network shows the impact of papers produced by Jovana Džunić. 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 Jovana Džunić. The network helps show where Jovana Džunić may publish in the future.
Co-authorship network of co-authors of Jovana Džunić
This figure shows the co-authorship network connecting the top 25 collaborators of Jovana Džunić. A scholar is included among the top collaborators of Jovana Džunić 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 Jovana Džunić. Jovana Džunić 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 | 1 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | 23 | |
| 7 | 98 | |
| 8 | 34 | |
| 9 | 26 | |
| 10 | 11 | |
| 11 | Multipoint Methods for Solving Nonlinear Equations | 308 |
| 12 | 11 | |
| 13 | 122 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 38 | |
| 17 | 46 | |
| 18 | 17 | |
| 19 | 21 | |
| 20 | 58 |
About Jovana Džunić
Jovana Džunić is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation, having authored 22 papers that have together received 931 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (21 papers), Advanced Optimization Algorithms Research (19 papers) and Matrix Theory and Algorithms (16 papers). The work is most often cited by research in Numerical Analysis (888 citations), Modeling and Simulation (239 citations) and Computational Theory and Mathematics (461 citations). Jovana Džunić has collaborated with scholars based in Serbia, United States and South Korea. Frequent co-authors include Miodrag S. Petković, Beny Neta, Ljiljana D. Petković, Mi Young Lee, Changbum Chun, Sonja Ilić, Xiaofeng Wang, Tie Zhang and Dušan Milošević. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Computers & Mathematics with 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.