Ruxandra Stoean
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Cătălin StoeanMike PreußNebojša BačaninMiodrag ŽivkovićD. DumitrescuAleksandar PetrovićTimea BezdanTarik A. Rashid
- Topics
- Evolutionary Algorithms and Applications (20 papers)Metaheuristic Optimization Algorithms Research (19 papers)Neural Networks and Applications (6 papers)
In The Last Decade
Ruxandra Stoean
62 papers receiving 898 citations
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 496
- Electrical and Electronic Engineering 132
- Computational Theory and Mathematics 123
- Computer Vision and Pattern Recognition 120
- Management Science and Operations Research 80
Countries citing papers authored by Ruxandra Stoean
This map shows the geographic impact of Ruxandra Stoean'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 Ruxandra Stoean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruxandra Stoean more than expected).
Fields of papers citing papers by Ruxandra Stoean
This network shows the impact of papers produced by Ruxandra Stoean. 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 Ruxandra Stoean. The network helps show where Ruxandra Stoean may publish in the future.
Co-authorship network of co-authors of Ruxandra Stoean
This figure shows the co-authorship network connecting the top 25 collaborators of Ruxandra Stoean. A scholar is included among the top collaborators of Ruxandra Stoean 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 Ruxandra Stoean. Ruxandra Stoean 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 | 18 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 25 | |
| 8 | 67 | |
| 9 | 51 | |
| 10 | 134 | |
| 11 | 1 | |
| 12 | 43 | |
| 13 | Non-negative Matrix Factorization for Medical Imaging. | 1 |
| 14 | 1 | |
| 15 | A Survey on Feature Ranking by Means of Evolutionary Computation | 6 |
| 16 | 24 | |
| 17 | Species Separation by a Clustering Mean towards Multimodal Function Optimization | 0 |
| 18 | 15 | |
| 19 | Linear Evolutionary Support Vector Machines for Separable Training Data | 1 |
| 20 | Evolutionary Multi-class Support Vector Machines for Classification | 3 |
About Ruxandra Stoean
Ruxandra Stoean is a scholar working on Artificial Intelligence, Space and Planetary Science and Health Informatics, having authored 71 papers that have together received 929 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (20 papers), Metaheuristic Optimization Algorithms Research (19 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (496 citations) and Health Information Management (71 citations). Ruxandra Stoean has collaborated with scholars based in Romania, Spain and Serbia. Frequent co-authors include Cătălin Stoean, Mike Preuß, Nebojša Bačanin, Miodrag Živković, D. Dumitrescu, Aleksandar Petrović, Timea Bezdan, Tarik A. Rashid, Roma Strulak-Wójcikiewicz and Radu Badea. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and Sensors.
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.