Georgeta Bordea
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 10%
- Management Science and Operations Research
- Computer Science Applications
- Co-authors
- Paul BuitelaarEls LefeverRoberto NavigliStefano FaralliGayo DialloToine BogersGianmaria SilvelloNicola Ferro
- Topics
- Topic Modeling (9 papers)Biomedical Text Mining and Ontologies (6 papers)Expert finding and Q&A systems (5 papers)
In The Last Decade
Georgeta Bordea
21 papers receiving 232 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 208
- Molecular Biology 54
- Information Systems 49
- Management Science and Operations Research 19
- Computer Science Applications 13
Countries citing papers authored by Georgeta Bordea
This map shows the geographic impact of Georgeta Bordea'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 Georgeta Bordea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgeta Bordea more than expected).
Fields of papers citing papers by Georgeta Bordea
This network shows the impact of papers produced by Georgeta Bordea. 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 Georgeta Bordea. The network helps show where Georgeta Bordea may publish in the future.
Co-authorship network of co-authors of Georgeta Bordea
This figure shows the co-authorship network connecting the top 25 collaborators of Georgeta Bordea. A scholar is included among the top collaborators of Georgeta Bordea 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 Georgeta Bordea. Georgeta Bordea 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | The Categories of Philosophy in the Digital Era. | 1 |
| 9 | Forecasting emerging trends from scientific literature | 19 |
| 10 | 56 | |
| 11 | 38 | |
| 12 | 6 | |
| 13 | 57 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | Semi-Supervised Technical Term Tagging With Minimal User Feedback | 1 |
| 17 | Expertise Mining for Enterprise Content Management | 5 |
| 18 | 5 | |
| 19 | DERIUNLP: A Context Based Approach to Automatic Keyphrase Extraction | 10 |
| 20 | 3 |
About Georgeta Bordea
Georgeta Bordea is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems, having authored 22 papers that have together received 251 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (6 papers) and Expert finding and Q&A systems (5 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Computer Science Applications (13 citations) and Information Systems (49 citations). Georgeta Bordea has collaborated with scholars based in Ireland, France and Italy. Frequent co-authors include Paul Buitelaar, Els Lefever, Roberto Navigli, Stefano Faralli, Gayo Diallo, Toine Bogers, Gianmaria Silvello, Nicola Ferro, Tudor Groza and Barry Coughlan. Their work appears in journals such as Language Resources and Evaluation, Semantic Web and Yearbook of Medical Informatics.
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.