Mircea Ivan
- Statistics and Probability top 1%
- Applied Mathematics top 5%
- Numerical Analysis top 5%
- Geometry and Topology top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Ioan GavreaUlrich AbelRadu PăltăneaVijay GuptaThomas RiedelIoan RaşaZhongkai LiXiaoming Zeng
- Topics
- Approximation Theory and Sequence Spaces (38 papers)Mathematical functions and polynomials (14 papers)Iterative Methods for Nonlinear Equations (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
In The Last Decade
Mircea Ivan
50 papers receiving 318 citations
Peers
Comparison fields: 5 of 31
- Statistics and Probability 269
- Applied Mathematics 199
- Numerical Analysis 169
- Geometry and Topology 55
- Computational Theory and Mathematics 53
Countries citing papers authored by Mircea Ivan
This map shows the geographic impact of Mircea Ivan'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 Mircea Ivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mircea Ivan more than expected).
Fields of papers citing papers by Mircea Ivan
This network shows the impact of papers produced by Mircea Ivan. 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 Mircea Ivan. The network helps show where Mircea Ivan may publish in the future.
Co-authorship network of co-authors of Mircea Ivan
This figure shows the co-authorship network connecting the top 25 collaborators of Mircea Ivan. A scholar is included among the top collaborators of Mircea Ivan 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 Mircea Ivan. Mircea Ivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 20 | |
| 7 | 6 | |
| 8 | 18 | |
| 9 | 11 | |
| 10 | 28 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | A simple solution to Basel problem. | 3 |
| 14 | On a generalization of an approximation operator defined by A. Lupas 1 | 2 |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | Best constant for a Bleimann-Butzer-Hahn moment estimation | 6 |
| 20 | A sequence of positive linear operators | 1 |
About Mircea Ivan
Mircea Ivan is a scholar working on Statistics and Probability, Numerical Analysis and Applied Mathematics, having authored 55 papers that have together received 348 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (38 papers), Mathematical functions and polynomials (14 papers) and Iterative Methods for Nonlinear Equations (13 papers). The work is most often cited by research in Statistics and Probability (269 citations), Numerical Analysis (169 citations) and Applied Mathematics (199 citations). Mircea Ivan has collaborated with scholars based in Romania, Germany and India. Frequent co-authors include Ioan Gavrea, Ulrich Abel, Radu Păltănea, Vijay Gupta, Vijay Gupta, Thomas Riedel, Ioan Raşa, Zhongkai Li, Xiaoming Zeng and Octavian Agratini. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.