Theodora S. Brisimi
- Artificial Intelligence top 2%
- Health Information Management top 2%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Ioannis Ch. PaschalidisTheofanie MelaAlex OlshevskyRuidi ChenWei ShiVenkatesh SaligramaWilliam G. AdamsChristos G. Cassandras
- Topics
- Machine Learning in Healthcare (4 papers)Anomaly Detection Techniques and Applications (3 papers)Artificial Intelligence in Healthcare (2 papers)
- Partner nations
- United StatesIrelandChina
In The Last Decade
Theodora S. Brisimi
10 papers receiving 783 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 587
- Health Information Management 96
- Information Systems 90
- Computer Networks and Communications 78
- Radiology, Nuclear Medicine and Imaging 77
Countries citing papers authored by Theodora S. Brisimi
This map shows the geographic impact of Theodora S. Brisimi'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 Theodora S. Brisimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodora S. Brisimi more than expected).
Fields of papers citing papers by Theodora S. Brisimi
This network shows the impact of papers produced by Theodora S. Brisimi. 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 Theodora S. Brisimi. The network helps show where Theodora S. Brisimi may publish in the future.
Co-authorship network of co-authors of Theodora S. Brisimi
This figure shows the co-authorship network connecting the top 25 collaborators of Theodora S. Brisimi. A scholar is included among the top collaborators of Theodora S. Brisimi 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 Theodora S. Brisimi. Theodora S. Brisimi 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 | 4 | |
| 3 | 3 | |
| 4 | Federated learning of predictive models from federated Electronic Health Recordsbreakdown → | 586 |
| 5 | 21 | |
| 6 | 54 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 89 | |
| 11 | 13 |
About Theodora S. Brisimi
Theodora S. Brisimi is a scholar working on Health Informatics, Health Information Management and Artificial Intelligence, having authored 11 papers that have together received 800 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Anomaly Detection Techniques and Applications (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (76 citations), Health Information Management (96 citations) and Artificial Intelligence (587 citations). Theodora S. Brisimi has collaborated with scholars based in United States, Ireland and China. Frequent co-authors include Ioannis Ch. Paschalidis, Theofanie Mela, Alex Olshevsky, Ruidi Chen, Wei Shi, Venkatesh Saligrama, William G. Adams, Christos G. Cassandras, Yue Zhang and Tingting Xu. Their work appears in journals such as Scientific Reports, European Journal of Operational Research and IEEE Access.
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.