Mihaela Breaban
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 10%
- Ocean Engineering top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Henri LuchianConstantin CrânganuAdrian IfteneVlad Ștefan BarbuDavide IppolitoRadu MironMarco BolognaCesare Maino
- Topics
- Metaheuristic Optimization Algorithms Research (7 papers)Face and Expression Recognition (5 papers)Advanced Clustering Algorithms Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsPattern Recognition
- Partner nations
- RomaniaUnited StatesItaly
In The Last Decade
Mihaela Breaban
19 papers receiving 300 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 181
- Industrial and Manufacturing Engineering 45
- Ocean Engineering 44
- Information Systems 43
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Mihaela Breaban
This map shows the geographic impact of Mihaela Breaban'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 Mihaela Breaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihaela Breaban more than expected).
Fields of papers citing papers by Mihaela Breaban
This network shows the impact of papers produced by Mihaela Breaban. 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 Mihaela Breaban. The network helps show where Mihaela Breaban may publish in the future.
Co-authorship network of co-authors of Mihaela Breaban
This figure shows the co-authorship network connecting the top 25 collaborators of Mihaela Breaban. A scholar is included among the top collaborators of Mihaela Breaban 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 Mihaela Breaban. Mihaela Breaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | Identifying tuberculosis type in CTs. | 1 |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | 35 | |
| 12 | Combining image retrieval, metadata processing and naive Bayes classification at Plant Identification 2013 | 4 |
| 13 | 24 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Mihaela Breaban
Mihaela Breaban is a scholar working on Health Informatics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 314 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Face and Expression Recognition (5 papers) and Advanced Clustering Algorithms Research (4 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Industrial and Manufacturing Engineering (45 citations) and Ocean Engineering (44 citations). Mihaela Breaban has collaborated with scholars based in Romania, United States and Italy. Frequent co-authors include Henri Luchian, Constantin Crânganu, Adrian Iftene, Vlad Ștefan Barbu, Davide Ippolito, Radu Miron, Marco Bologna, Cesare Maino, Rocco Corso and George Stoica. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition.
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.