Dimitra Gkatzia
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Information Systems
- Sociology and Political Science
- Social Psychology
- Co-authors
- Verena RieserSaad MahamoodOliver LemonHelen HastieMiruna ClinciuEmiel van MiltenburgAnja BelzSashank Santhanam
- Topics
- Topic Modeling (20 papers)Speech and dialogue systems (13 papers)Natural Language Processing Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Speech & LanguageIEEE Computational Intelligence Magazine
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
Dimitra Gkatzia
28 papers receiving 221 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 202
- Computer Vision and Pattern Recognition 48
- Information Systems 28
- Sociology and Political Science 12
- Social Psychology 9
Countries citing papers authored by Dimitra Gkatzia
This map shows the geographic impact of Dimitra Gkatzia'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 Dimitra Gkatzia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitra Gkatzia more than expected).
Fields of papers citing papers by Dimitra Gkatzia
This network shows the impact of papers produced by Dimitra Gkatzia. 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 Dimitra Gkatzia. The network helps show where Dimitra Gkatzia may publish in the future.
Co-authorship network of co-authors of Dimitra Gkatzia
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitra Gkatzia. A scholar is included among the top collaborators of Dimitra Gkatzia 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 Dimitra Gkatzia. Dimitra Gkatzia 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | It’s Commonsense, isn’t it? Demystifying Human Evaluations in Commonsense-Enhanced NLG Systems | 2 |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 74 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | How to Talk to Strangers: Minimising Regret when Generating Medical Reports for Unknown Users | 1 |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | Generating Student Feedback from Time-Series Data Using Reinforcement Learning | 13 |
About Dimitra Gkatzia
Dimitra Gkatzia is a scholar working on Artificial Intelligence, General Decision Sciences and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 248 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Speech and dialogue systems (13 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Artificial Intelligence (202 citations), General Decision Sciences (8 citations) and Health Informatics (5 citations). Dimitra Gkatzia has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Verena Rieser, Saad Mahamood, Oliver Lemon, Helen Hastie, Miruna Clinciu, Emiel van Miltenburg, Anja Belz, Sashank Santhanam, Sadid A. Hasan and Simon Mille. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Speech & Language and IEEE Computational Intelligence Magazine.
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.