Fenia Christopoulou
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Text and Document Classification Technologies
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 4
- Text Readability and Simplification 2
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
- Advanced Graph Neural Networks 1
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Sophia Ananiadou (5 shared papers)Makoto Miwa (4 shared papers)Sunil Kumar Sahu (1 shared paper)Ignacio Iacobacci (2 shared papers)Alexandros Potamianos (2 shared papers)Elias Iosif (2 shared papers)Kurt Junshean Espinosa (1 shared paper)Haris Papageorgiou (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)BMC Bioinformatics (1 paper)Lecture notes in networks and systems (1 paper)Research Explorer (The University of Manchester) (2 papers)
- Partner nations
- United KingdomJapanGreece
In The Last Decade
Fenia Christopoulou
9 papers receiving 331 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 276
- Health Informatics 7
- Toxicology 10
- Management Science and Operations Research 32
- Health Information Management 9
Countries citing papers authored by Fenia Christopoulou
This map shows the geographic impact of Fenia Christopoulou'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 Fenia Christopoulou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenia Christopoulou more than expected).
Fields of papers citing papers by Fenia Christopoulou
This network shows the impact of papers produced by Fenia Christopoulou. 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 Fenia Christopoulou. The network helps show where Fenia Christopoulou may publish in the future.
Co-authors
The 14 scholars most cited alongside Fenia Christopoulou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2019 | 77 | |
| 3 | 2018 | 74 | |
| 4 | 2016 | 12 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2018 | 2 | |
| 9 | 2022 | 2 |
About Fenia Christopoulou
Fenia Christopoulou is a scholar working on Artificial Intelligence, Molecular Biology, Radiological and Ultrasound Technology, Management Science and Operations Research and Building and Construction, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Text Readability and Simplification (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Text Analysis Techniques (2 papers), Advanced Graph Neural Networks (1 paper) and Occupational Health and Safety Research (1 paper). The work is most often cited by research in Artificial Intelligence (276 citations), Health Informatics (7 citations), Toxicology (10 citations), Management Science and Operations Research (32 citations) and Health Information Management (9 citations). Fenia Christopoulou has collaborated with scholars based in United Kingdom, Japan and Greece. Frequent co-authors include Sophia Ananiadou, Makoto Miwa, Sunil Kumar Sahu, Ignacio Iacobacci, Alexandros Potamianos, Elias Iosif, Kurt Junshean Espinosa, Haris Papageorgiou, Γεράσιμος Λάμπουρας and Shrikanth Narayanan. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Bioinformatics, Lecture notes in networks and systems and Research Explorer (The University of Manchester).
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.