Dijana Mosić
- Computational Theory and Mathematics top 0.2%
- Algebra and Number Theory top 2%
- Numerical Analysis top 2%
- Applied Mathematics top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Dragan S. DjordjevićPredrag S. StanimirovićHaifeng MaJianlong ChenVasilios N. KatsikisIvan KyrcheiJ. J. KolihaLong Wang
- Topics
- Matrix Theory and Algorithms (190 papers)Advanced Topics in Algebra (82 papers)Advanced Optimization Algorithms Research (43 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Neural Networks and Learning SystemsJournal of Mathematical Analysis and Applications
In The Last Decade
Dijana Mosić
172 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 1.3k
- Algebra and Number Theory 508
- Numerical Analysis 385
- Applied Mathematics 369
- Atomic and Molecular Physics, and Optics 237
Countries citing papers authored by Dijana Mosić
This map shows the geographic impact of Dijana Mosić'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 Dijana Mosić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dijana Mosić more than expected).
Fields of papers citing papers by Dijana Mosić
This network shows the impact of papers produced by Dijana Mosić. 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 Dijana Mosić. The network helps show where Dijana Mosić may publish in the future.
Co-authorship network of co-authors of Dijana Mosić
This figure shows the co-authorship network connecting the top 25 collaborators of Dijana Mosić. A scholar is included among the top collaborators of Dijana Mosić 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 Dijana Mosić. Dijana Mosić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | Solvability to some systems of matrix equations using G-outer inverses | 2 |
| 15 | 13 | |
| 16 | 12 | |
| 17 | 49 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 17 |
About Dijana Mosić
Dijana Mosić is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Numerical Analysis, having authored 204 papers that have together received 1.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (190 papers), Advanced Topics in Algebra (82 papers) and Advanced Optimization Algorithms Research (43 papers). The work is most often cited by research in Algebra and Number Theory (508 citations), Computational Theory and Mathematics (1.3k citations) and Numerical Analysis (385 citations). Dijana Mosić has collaborated with scholars based in Serbia, China and Ukraine. Frequent co-authors include Dragan S. Djordjević, Predrag S. Stanimirović, Haifeng Ma, Jianlong Chen, Vasilios N. Katsikis, Ivan Kyrchei, J. J. Koliha, Long Wang, Dragana S. Cvetković‐Ilić and Yimin Wei. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Networks and Learning Systems and Journal of Mathematical Analysis and 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.