Thomas Demeester
- Artificial Intelligence top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Gastroenterology top 1%
- Information Systems top 5%
- Co-authors
- Chris DevelderJohannes DeleuGiannis BekoulisRobert H. RiddellDavid B. SkinnerD. De ZutterBart DhoedtSteven Van Canneyt
- Topics
- Topic Modeling (38 papers)Natural Language Processing Techniques (28 papers)Electromagnetic Compatibility and Noise Suppression (12 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Thomas Demeester
106 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 793
- Surgery 779
- Pulmonary and Respiratory Medicine 492
- Gastroenterology 355
- Information Systems 242
Countries citing papers authored by Thomas Demeester
This map shows the geographic impact of Thomas Demeester'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 Thomas Demeester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Demeester more than expected).
Fields of papers citing papers by Thomas Demeester
This network shows the impact of papers produced by Thomas Demeester. 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 Thomas Demeester. The network helps show where Thomas Demeester may publish in the future.
Co-authorship network of co-authors of Thomas Demeester
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Demeester. A scholar is included among the top collaborators of Thomas Demeester 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 Thomas Demeester. Thomas Demeester 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 48 | |
| 8 | Adversarial training for multi-context joint entity and relation extraction | 122 |
| 9 | Ghent University-IBCN participation in the TAC KBP 2015 cold start slot filling task | 1 |
| 10 | 4 | |
| 11 | Using active learning and semantic clustering for noise reduction in distant supervision | 8 |
| 12 | Overview of the TREC 2013 Federated Web Search Track | 25 |
| 13 | Mirex and Taily at TREC 2013 | 1 |
| 14 | Federated Search in the Wild | 1 |
| 15 | UGent Participation in the TAC 2013 Entity-Linking Task | 0 |
| 16 | UGent Participation in the Microblog Track 2012 | 4 |
| 17 | 45 | |
| 18 | 22 | |
| 19 | 13 | |
| 20 | Metastatic non-oat-cell bronchogenic carcinoma. Therapy with cyclophosphamide, doxorubicin, methotrexate, and procarbazine (CAMP). | 29 |
About Thomas Demeester
Thomas Demeester is a scholar working on Artificial Intelligence, Gastroenterology and Information Systems, having authored 112 papers that have together received 2.1k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (28 papers) and Electromagnetic Compatibility and Noise Suppression (12 papers). The work is most often cited by research in Gastroenterology (355 citations), Artificial Intelligence (793 citations) and Surgery (779 citations). Thomas Demeester has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Chris Develder, Johannes Deleu, Giannis Bekoulis, Robert H. Riddell, David B. Skinner, D. De Zutter, Bart Dhoedt, Steven Van Canneyt, J. A. Hagen and Cedric De Boom. Their work appears in journals such as Gastroenterology, Cancer and Annals of Surgery.
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.