Andreea Udrea
- Oncology
- Artificial Intelligence top 10%
- Epidemiology
- Dermatology top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Thomas RuzickaTiago M. de CarvalhoMarlies WakkeeTamar NijstenCiprian LupuMonique R.T.M. ThissenThomas MaierCarola Berking
- Topics
- Cutaneous Melanoma Detection and Management (7 papers)AI in cancer detection (5 papers)Advanced Control Systems Optimization (5 papers)
- Journals
- Journal of Clinical MedicineJournal of the European Academy of Dermatology and VenereologyTelemedicine Journal and e-Health
- Partner nations
- RomaniaNetherlandsGermany
In The Last Decade
Andreea Udrea
33 papers receiving 294 citations
Peers
Comparison fields: 5 of 86
- Oncology 170
- Artificial Intelligence 98
- Epidemiology 69
- Dermatology 50
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Andreea Udrea
This map shows the geographic impact of Andreea Udrea'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 Andreea Udrea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreea Udrea more than expected).
Fields of papers citing papers by Andreea Udrea
This network shows the impact of papers produced by Andreea Udrea. 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 Andreea Udrea. The network helps show where Andreea Udrea may publish in the future.
Co-authorship network of co-authors of Andreea Udrea
This figure shows the co-authorship network connecting the top 25 collaborators of Andreea Udrea. A scholar is included among the top collaborators of Andreea Udrea 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 Andreea Udrea. Andreea Udrea 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 | 2 | |
| 3 | 0 | |
| 4 | 37 | |
| 5 | 8 | |
| 6 | 48 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | Stabile algorithms switching for multiple models control systems | 2 |
| 18 | On the stability of switching in multi-models control systems | 1 |
| 19 | Solutions for nonlinear multivariable processes control | 4 |
| 20 | Real-time control applications for nonlinear processes based on adaptive control and the static characteristic | 10 |
About Andreea Udrea
Andreea Udrea is a scholar working on Control and Systems Engineering, Transportation and Biophysics, having authored 36 papers that have together received 307 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (5 papers) and Advanced Control Systems Optimization (5 papers). The work is most often cited by research in Health Informatics (14 citations), Oncology (170 citations) and Dermatology (50 citations). Andreea Udrea has collaborated with scholars based in Romania, Netherlands and Germany. Frequent co-authors include Thomas Ruzicka, Tiago M. de Carvalho, Marlies Wakkee, Tamar Nijsten, Ciprian Lupu, Monique R.T.M. Thissen, Thomas Maier, Carola Berking, Daniel M. Siegel and Maximilien Vermandel. Their work appears in journals such as Journal of Clinical Medicine, Journal of the European Academy of Dermatology and Venereology and Telemedicine Journal and e-Health.
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.