Thomas Demeester

3.7k total citations · 1 hit paper
112 papers, 2.1k citations indexed

About

Thomas Demeester is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Thomas Demeester has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 18 papers in Electrical and Electronic Engineering and 15 papers in Information Systems. Recurrent topics in Thomas Demeester's work include Topic Modeling (38 papers), Natural Language Processing Techniques (28 papers) and Electromagnetic Compatibility and Noise Suppression (12 papers). Thomas Demeester is often cited by papers focused on Topic Modeling (38 papers), Natural Language Processing Techniques (28 papers) and Electromagnetic Compatibility and Noise Suppression (12 papers). Thomas Demeester collaborates with scholars based in Belgium, United States and Netherlands. Thomas Demeester's 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 and has published in prestigious journals such as Gastroenterology, Cancer and Annals of Surgery.

In The Last Decade

Thomas Demeester

106 papers receiving 2.0k citations

Hit Papers

Barrettʼs Esophagus 1983 2026 1997 2011 1983 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Demeester Belgium 21 793 779 492 355 242 112 2.1k
Ke Chen China 19 225 0.3× 215 0.3× 208 0.4× 169 0.5× 111 0.5× 69 994
Thomas Schneider Germany 17 310 0.4× 182 0.2× 313 0.6× 29 0.1× 95 0.4× 78 1.2k
Matt Johnson United Kingdom 15 212 0.3× 154 0.2× 39 0.1× 110 0.3× 281 1.2× 35 904
Sabeur Aridhi France 11 194 0.2× 108 0.1× 82 0.2× 58 0.2× 201 0.8× 31 790
Jen‐Hao Chen Taiwan 24 93 0.1× 393 0.5× 797 1.6× 459 1.3× 12 0.0× 81 1.9k
Fisher United States 18 190 0.2× 112 0.1× 187 0.4× 20 0.1× 85 0.4× 80 1.9k
Kwan Hoong Ng Malaysia 27 451 0.6× 156 0.2× 390 0.8× 7 0.0× 97 0.4× 137 2.2k
Faisal Mahmood United States 24 1.9k 2.4× 100 0.1× 203 0.4× 36 0.1× 33 0.1× 78 3.5k
Adrien Depeursinge Switzerland 26 856 1.1× 83 0.1× 531 1.1× 17 0.0× 49 0.2× 117 2.3k
William B. Silverman United States 24 137 0.2× 1.4k 1.8× 1.1k 2.3× 271 0.8× 17 0.1× 91 2.5k

Countries citing papers authored by Thomas Demeester

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mulier, Klaas, et al.. (2025). Developing an AI Model for the Detection of Financially Distressed Companies by Belgian Commercial Courts. Ghent University Academic Bibliography (Ghent University).
2.
Mulier, Klaas, et al.. (2023). From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset. Ghent University Academic Bibliography (Ghent University). 11–21. 4 indexed citations
3.
Remy, François, Johannes Deleu, Thomas Demeester, et al.. (2023). BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance. 13425–13454. 1 indexed citations
4.
Godin, Fréderic, et al.. (2023). IDAS: Intent Discovery with Abstractive Summarization. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
5.
Remy, François, Kris Demuynck, & Thomas Demeester. (2023). Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. Ghent University Academic Bibliography (Ghent University). 265–272. 1 indexed citations
6.
Vandewiele, Gilles, Isabelle Dehaene, Olivier Janssens, et al.. (2020). Clinical information extraction for preterm birth risk prediction. Journal of Biomedical Informatics. 110. 103544–103544. 10 indexed citations
7.
Demeester, Thomas, et al.. (2019). A Self-Training Approach for Short Text Clustering. 194–199. 48 indexed citations
8.
Bekoulis, Giannis, Johannes Deleu, Thomas Demeester, & Chris Develder. (2018). Adversarial training for multi-context joint entity and relation extraction. Ghent University Academic Bibliography (Ghent University). 122 indexed citations
9.
Demeester, Thomas, et al.. (2015). Ghent University-IBCN participation in the TAC KBP 2015 cold start slot filling task. Theory and applications of categories. 1 indexed citations
10.
Demeester, Thomas, Robin Aly, Djoerd Hiemstra, Dong Nguyen, & Chris Develder. (2015). Radboud Repository (Radboud University). 4 indexed citations
11.
Demeester, Thomas, et al.. (2014). Using active learning and semantic clustering for noise reduction in distant supervision. Ghent University Academic Bibliography (Ghent University). 1–6. 8 indexed citations
12.
Demeester, Thomas, Dolf Trieschnigg, Dong Nguyen, & Djoerd Hiemstra. (2014). Overview of the TREC 2013 Federated Web Search Track. Ghent University Academic Bibliography (Ghent University). 1–11. 25 indexed citations
13.
Aly, Robin, Djoerd Hiemstra, Dolf Trieschnigg, & Thomas Demeester. (2013). Mirex and Taily at TREC 2013. Ghent University Academic Bibliography (Ghent University). 1–6. 1 indexed citations
14.
Nguyen, Dong, et al.. (2012). Federated Search in the Wild. KNAW research portal (Royal Academy of Art and Sciences (KNAW)). 1 indexed citations
15.
Demeester, Thomas, et al.. (2012). UGent Participation in the TAC 2013 Entity-Linking Task. Theory and applications of categories. 1–12.
16.
Demeester, Thomas, et al.. (2012). UGent Participation in the Microblog Track 2012. Text REtrieval Conference. 1–5. 4 indexed citations
17.
Vallböhmer, Daniel, Steven R. DeMeester, Jeffrey H. Peters, et al.. (2006). Cdx-2 expression in squamous and metaplastic columnar epithelia of the esophagus. Diseases of the Esophagus. 19(4). 260–266. 45 indexed citations
18.
Cimochowski, George E., et al.. (1986). Pleuroperitoneal shunting for recalcitrant pleural effusions. Journal of Thoracic and Cardiovascular Surgery. 92(5). 866–870. 22 indexed citations
19.
Demeester, Thomas, et al.. (1986). Minitracheostomy: A new delivery system for jet ventilation. Journal of Thoracic and Cardiovascular Surgery. 92(4). 673–675. 13 indexed citations
20.
Bitran, Jacob D., Richard K. Desser, Thomas Demeester, & Harvey M. Golomb. (1978). Metastatic non-oat-cell bronchogenic carcinoma. Therapy with cyclophosphamide, doxorubicin, methotrexate, and procarbazine (CAMP).. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 240(25). 2743–6. 29 indexed citations

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.

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