Andreea Deac
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Immunology
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Topics
- vaccines and immunoinformatics approaches (2 papers)Machine Learning in Bioinformatics (1 paper)Data Quality and Management (1 paper)
- Journals
- BioinformaticsApollo (University of Cambridge)
- Partner nations
- United KingdomItalyCanada
In The Last Decade
Andreea Deac
3 papers receiving 42 citations
Peers
Comparison fields: 5 of 14
- Molecular Biology 41
- Radiology, Nuclear Medicine and Imaging 31
- Immunology 10
- Computational Theory and Mathematics 4
- Computer Vision and Pattern Recognition 3
Countries citing papers authored by Andreea Deac
This map shows the geographic impact of Andreea Deac'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 Deac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreea Deac more than expected).
Fields of papers citing papers by Andreea Deac
This network shows the impact of papers produced by Andreea Deac. 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 Deac. The network helps show where Andreea Deac may publish in the future.
Co-authorship network of co-authors of Andreea Deac
This figure shows the co-authorship network connecting the top 25 collaborators of Andreea Deac. A scholar is included among the top collaborators of Andreea Deac 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 Deac. Andreea Deac 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 | 42 | |
| 3 | Empowering Graph Representation Learning with Paired Training and Graph Co-Attention | 1 |
About Andreea Deac
Andreea Deac is a scholar working on Management Science and Operations Research, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 3 papers that have together received 44 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (2 papers), Machine Learning in Bioinformatics (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (31 citations), Molecular Biology (41 citations) and Immunology (10 citations). Andreea Deac has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Pietro Sormanni, Petar Veličković, Yu-Hsiang Huang, Píetro Lió, Emanuele Rodolà and Jian Tang. Their work appears in journals such as Bioinformatics and Apollo (University of Cambridge).
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.