Ralph Peeters

737 total citations
23 papers, 448 citations indexed

About

Ralph Peeters is a scholar working on Artificial Intelligence, Management Science and Operations Research and Infectious Diseases. According to data from OpenAlex, Ralph Peeters has authored 23 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Infectious Diseases. Recurrent topics in Ralph Peeters's work include Topic Modeling (8 papers), Data Quality and Management (6 papers) and COVID-19 Clinical Research Studies (5 papers). Ralph Peeters is often cited by papers focused on Topic Modeling (8 papers), Data Quality and Management (6 papers) and COVID-19 Clinical Research Studies (5 papers). Ralph Peeters collaborates with scholars based in Netherlands, Germany and Portugal. Ralph Peeters's co-authors include Christian Bizer, Robert Landewé, Rémy L.M. Mostard, E.H.J. van Haren, Tom Dormans, Dennis R. Wong, César Magro‐Checa, Martijn D. de Kruif, R. Janknegt and Mathie P.G. Leers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and British Journal of Clinical Pharmacology.

In The Last Decade

Ralph Peeters

20 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph Peeters Netherlands 11 133 103 101 94 83 23 448
Satrajit Roychoudhury United States 15 19 0.1× 27 0.3× 16 0.2× 46 0.5× 183 2.2× 38 1.1k
André Happe France 14 11 0.1× 38 0.4× 23 0.2× 63 0.7× 15 0.2× 34 516
Jacqueline Corrigan‐Curay United States 9 13 0.1× 32 0.3× 30 0.3× 45 0.5× 9 0.1× 13 616
David Pérez-Rey Spain 9 27 0.2× 122 1.2× 22 0.2× 10 0.1× 28 0.3× 35 540
Olivier Collignon Luxembourg 13 15 0.1× 12 0.1× 142 1.4× 31 0.3× 20 0.2× 22 747
Matthew M. Hutmacher United States 14 18 0.1× 6 0.1× 17 0.2× 68 0.7× 26 0.3× 31 554
H. Amy Xia United States 15 17 0.1× 10 0.1× 11 0.1× 284 3.0× 36 0.4× 27 776
K.J. Mason United Kingdom 15 13 0.1× 27 0.3× 17 0.2× 490 5.2× 8 0.1× 39 781
Fatemeh Esfahanian Iran 13 22 0.2× 14 0.1× 13 0.1× 33 0.4× 27 0.3× 31 365
Ryan G. Short United States 13 120 0.9× 37 0.4× 37 0.4× 24 0.3× 2 0.0× 24 693

Countries citing papers authored by Ralph Peeters

Since Specialization
Citations

This map shows the geographic impact of Ralph Peeters'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 Ralph Peeters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Peeters more than expected).

Fields of papers citing papers by Ralph Peeters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph Peeters. 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 Ralph Peeters. The network helps show where Ralph Peeters may publish in the future.

Co-authorship network of co-authors of Ralph Peeters

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph Peeters. A scholar is included among the top collaborators of Ralph Peeters 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 Ralph Peeters. Ralph Peeters 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.
Peeters, Ralph, et al.. (2025). Fine-Tuning Large Language Models for Entity Matching. MADOC (University of Mannheim). 9–17. 1 indexed citations
2.
Peeters, Ralph, et al.. (2024). The Web Data Commons Schema.org Table Corpora. MADOC (University of Mannheim). 1079–1082.
3.
Moes, Dirk Jan A. R., Sofía Ramiro, Rémy L.M. Mostard, et al.. (2023). Single dose tocilizumab for COVID‐19 associated cytokine storm syndrome: Less is more. British Journal of Clinical Pharmacology. 91(4). 938–946.
4.
Peeters, Ralph & Christian Bizer. (2022). Supervised Contrastive Learning for Product Matching. MADOC (University of Mannheim). 248–251. 10 indexed citations
5.
Peeters, Ralph & Christian Bizer. (2022). Cross-Language Learning for Product Matching. MADOC (University of Mannheim). 236–238. 3 indexed citations
6.
Peeters, Ralph & Christian Bizer. (2021). Dual-objective fine-tuning of BERT for entity matching. Proceedings of the VLDB Endowment. 14(10). 1913–1921. 33 indexed citations
7.
Ramiro, Sofía, Dirk Jan A. R. Moes, Rémy L.M. Mostard, et al.. (2021). POS1256 SINGLE DOSE TOCILIZUMAB PHARMACOKINETICS IN GLUCOCORTICOID PRE-TREATED COVID-19 PATIENTS DURING CYTOKINE STORM SYNDROME HYPERINFLAMMATORY EPISODE: LESS IS MORE. Annals of the Rheumatic Diseases. 80. 911–912. 1 indexed citations
8.
Peeters, Ralph, Christian Bizer, & Goran Glavašš. (2020). Intermediate Training of BERT for Product Matching.. MADOC (University of Mannheim). 15 indexed citations
9.
Boonen, Annelies, et al.. (2020). Validation of two frailty questionnaires in older patients with rheumatoid arthritis: a cross-sectional study.. PubMed. 38(3). 523–528. 12 indexed citations
10.
Ramiro, Sofía, Rémy L.M. Mostard, César Magro‐Checa, et al.. (2020). Historically controlled comparison of glucocorticoids with or without tocilizumab versus supportive care only in patients with COVID-19-associated cytokine storm syndrome: results of the CHIC study. Annals of the Rheumatic Diseases. 79(9). 1143–1151. 152 indexed citations
11.
Peeters, Ralph, et al.. (2020). Unusually Rapid Development of Pulmonary Hypertension and Right Ventricular Failure after COVID-19 Pneumonia. SHILAP Revista de lepidopterología. 7(7). 1784–1784. 13 indexed citations
12.
Zhang, Ziqi, et al.. (2020). MWPD2020: Semantic Web Challenge on Mining the Web of HTML-embedded Product Data.. MADOC (University of Mannheim). 3 indexed citations
13.
14.
Peeters, Ralph, et al.. (2019). The WDC Training Dataset and Gold Standard for Large-Scale Product Matching. MADOC (University of Mannheim). 381–386. 45 indexed citations
15.
16.
Bizer, Christian, et al.. (2019). Using the Semantic Web as a Source of Training Data. Datenbank-Spektrum. 19(2). 127–135. 5 indexed citations
17.
Boonen, Annelies, et al.. (2018). Rheumatologists’ Views and Experiences in Managing Rheumatoid Arthritis in Elderly Patients: A Qualitative Study. The Journal of Rheumatology. 45(5). 590–594. 12 indexed citations
18.
Onna, Marloes van, Betül Özdel Öztürk, M. Starmans, Ralph Peeters, & Annelies Boonen. (2018). Disease and management beliefs of elderly patients with rheumatoid arthritis and comorbidity: a qualitative study. Clinical Rheumatology. 37(9). 2367–2372. 15 indexed citations
19.
Romberg‐Camps, Mariëlle, P.H.M. van der Kuy, R. Janknegt, et al.. (2018). The nocebo effect challenges the non-medical infliximab switch in practice. European Journal of Clinical Pharmacology. 74(5). 655–661. 86 indexed citations
20.
Peeters, Ralph, et al.. (1992). [No difference in effectiveness measured between treatment in a thermal bath and in an exercise bath in patients with rheumatoid arthritis].. PubMed. 136(4). 173–6. 10 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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