Georgeta Bordea
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 9
- Semantic Web and Ontologies 5
- Natural Language Processing Techniques 4
- Advanced Text Analysis Techniques 3
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Paul Buitelaar (13 shared papers)Els Lefever (2 shared papers)Roberto Navigli (1 shared paper)Stefano Faralli (1 shared paper)Gayo Diallo (5 shared papers)Toine Bogers (2 shared papers)Gianmaria Silvello (1 shared paper)Nicola Ferro (1 shared paper)
In The Last Decade
Georgeta Bordea
21 papers receiving 232 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 208
- Computer Science Applications 13
- Information Systems 49
- Management Science and Operations Research 19
- Information Systems and Management 10
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-authors
The 25 scholars most cited alongside Georgeta Bordea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 57 | |
| 2 | 2016 | 56 | |
| 3 | 2016 | 38 | |
| 4 | Forecasting emerging trends from scientific literature | 2016 | 19 |
| 5 | 2016 | 13 | |
| 6 | DERIUNLP: A Context Based Approach to Automatic Keyphrase Extraction | 2010 | 10 |
| 7 | 2021 | 8 | |
| 8 | 2013 | 6 | |
| 9 | 2015 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2013 | 6 | |
| 12 | Expertise Mining for Enterprise Content Management | 2012 | 5 |
| 13 | 2012 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2010 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2019 | 2 | |
| 18 | The Categories of Philosophy in the Digital Era. | 2016 | 1 |
| 19 | Semi-Supervised Technical Term Tagging With Minimal User Feedback | 2012 | 1 |
| 20 | 2024 | 1 |
About Georgeta Bordea
Georgeta Bordea is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computational Theory and Mathematics and Computer Science Applications, 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), Semantic Web and Ontologies (5 papers), Expert finding and Q&A systems (5 papers), Natural Language Processing Techniques (4 papers), Advanced Text Analysis Techniques (3 papers), Computational Drug Discovery Methods (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Computer Science Applications (13 citations), Information Systems (49 citations), Management Science and Operations Research (19 citations) and Information Systems and Management (10 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, Yearbook of Medical Informatics, Semantic Web, Journal of Biomedical Semantics and International Journal on Digital Libraries.
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.