Predrag S. Stanimirović
- Computational Theory and Mathematics top 0.2%
- Artificial Intelligence top 1%
- Numerical Analysis top 0.5%
- Control and Systems Engineering top 1%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Vasilios N. KatsikisMarko D. PetkovićDragan S. DjordjevićYimin WeiHaifeng MaShuai LiDijana MosićHijaz Ahmad
- Topics
- Matrix Theory and Algorithms (144 papers)Advanced Optimization Algorithms Research (78 papers)Neural Networks and Applications (48 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchExpert Systems with Applications
In The Last Decade
Predrag S. Stanimirović
263 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 1.7k
- Artificial Intelligence 1.1k
- Numerical Analysis 1.0k
- Control and Systems Engineering 1.0k
- Statistical and Nonlinear Physics 622
Countries citing papers authored by Predrag S. Stanimirović
This map shows the geographic impact of Predrag S. Stanimirović'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 Predrag S. Stanimirović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predrag S. Stanimirović more than expected).
Fields of papers citing papers by Predrag S. Stanimirović
This network shows the impact of papers produced by Predrag S. Stanimirović. 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 Predrag S. Stanimirović. The network helps show where Predrag S. Stanimirović may publish in the future.
Co-authorship network of co-authors of Predrag S. Stanimirović
This figure shows the co-authorship network connecting the top 25 collaborators of Predrag S. Stanimirović. A scholar is included among the top collaborators of Predrag S. Stanimirović 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 Predrag S. Stanimirović. Predrag S. Stanimirović 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 | 2 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 63 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | Applying the algorithm of Lagrange multipliers in digital image restoration | 4 |
| 20 | 3 |
About Predrag S. Stanimirović
Predrag S. Stanimirović is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 283 papers that have together received 4.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (144 papers), Advanced Optimization Algorithms Research (78 papers) and Neural Networks and Applications (48 papers). The work is most often cited by research in Computational Mathematics (168 citations), Numerical Analysis (1.0k citations) and Computational Theory and Mathematics (1.7k citations). Predrag S. Stanimirović has collaborated with scholars based in Serbia, Greece and China. Frequent co-authors include Vasilios N. Katsikis, Marko D. Petković, Dragan S. Djordjević, Yimin Wei, Haifeng Ma, Shuai Li, Dijana Mosić, Hijaz Ahmad, Tufail A. Khan and Spyridon D. Mourtas. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems 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.