M.T.H. Meeus

440 total citations
18 papers, 164 citations indexed

About

M.T.H. Meeus is a scholar working on Pulmonary and Respiratory Medicine, Strategy and Management and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M.T.H. Meeus has authored 18 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Strategy and Management and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M.T.H. Meeus's work include Neonatal Respiratory Health Research (4 papers), Innovation Policy and R&D (3 papers) and Neonatal and fetal brain pathology (2 papers). M.T.H. Meeus is often cited by papers focused on Neonatal Respiratory Health Research (4 papers), Innovation Policy and R&D (3 papers) and Neonatal and fetal brain pathology (2 papers). M.T.H. Meeus collaborates with scholars based in Belgium, Netherlands and Japan. M.T.H. Meeus's co-authors include T. van der Valk, David Van Laere, L.A.G. Oerlemans, Ludo Mahieu, Antonius Mulder, Marko P. Hekkert, Geraldine B. Boylan, T’ng Chang Kwok, Kris Laukens and Declan G. Bates and has published in prestigious journals such as International Journal of Hydrogen Energy, The Journal of Pediatrics and Technovation.

In The Last Decade

M.T.H. Meeus

17 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.T.H. Meeus Belgium 7 56 32 30 30 27 18 164
Michael Chu United Kingdom 8 16 0.3× 25 0.8× 7 0.2× 21 0.7× 5 0.2× 29 238
M Ryan United Kingdom 6 26 0.5× 58 1.8× 37 1.2× 6 0.2× 67 2.5× 9 282
Fikret Turan Türkiye 10 27 0.5× 8 0.3× 29 1.0× 7 0.2× 3 0.1× 43 261
Helena Biancuzzi Italy 8 11 0.2× 8 0.3× 4 0.1× 8 0.3× 6 0.2× 29 200
Ad Schuurman Netherlands 5 12 0.2× 181 5.7× 5 0.2× 19 0.6× 41 1.5× 6 281
Hicham Sbaï Morocco 7 56 1.0× 19 0.6× 13 0.4× 5 0.2× 5 0.2× 39 202
Guilherme Castela Portugal 6 11 0.2× 13 0.4× 7 0.2× 17 0.6× 3 0.1× 21 134
Daniela Costa Portugal 8 21 0.4× 16 0.5× 5 0.2× 9 0.3× 3 0.1× 25 184
Wen-Yen Hsu Taiwan 7 47 0.8× 8 0.3× 2 0.1× 17 0.6× 5 0.2× 9 294

Countries citing papers authored by M.T.H. Meeus

Since Specialization
Citations

This map shows the geographic impact of M.T.H. Meeus'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 M.T.H. Meeus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T.H. Meeus more than expected).

Fields of papers citing papers by M.T.H. Meeus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T.H. Meeus. 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 M.T.H. Meeus. The network helps show where M.T.H. Meeus may publish in the future.

Co-authorship network of co-authors of M.T.H. Meeus

This figure shows the co-authorship network connecting the top 25 collaborators of M.T.H. Meeus. A scholar is included among the top collaborators of M.T.H. Meeus 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 M.T.H. Meeus. M.T.H. Meeus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Meeus, M.T.H., Charlie Beirnaert, Ludo Mahieu, et al.. (2023). Clinical Decision Support for Improved Neonatal Care: The Development of a Machine Learning Model for the Prediction of Late-onset Sepsis and Necrotizing Enterocolitis. The Journal of Pediatrics. 266. 113869–113869. 12 indexed citations
2.
Kwok, T’ng Chang, M.T.H. Meeus, Declan G. Bates, et al.. (2022). Application and potential of artificial intelligence in neonatal medicine. Seminars in Fetal and Neonatal Medicine. 27(5). 101346–101346. 29 indexed citations
3.
Laere, David Van, M.T.H. Meeus, Charlie Beirnaert, et al.. (2020). Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit. Clinics in Perinatology. 47(3). 435–448. 12 indexed citations
5.
Meeus, M.T.H., et al.. (2015). Epilepsy in children with Down syndrome: not so benign as generally accepted. Acta Neurologica Belgica. 115(4). 569–573. 6 indexed citations
6.
Valk, T. van der, M.T.H. Meeus, Ellen H.M. Moors, & Jan Faber. (2010). R&D COLLABORATION IN THE LIFE SCIENCES: FINDING PARTNERS AND THE ROLE OF RESOURCE-BASED INDUCEMENTS AND OPPORTUNITIES. International Journal of Innovation Management. 14(2). 179–199. 5 indexed citations
7.
Peeters, E, M.T.H. Meeus, José Ramet, Alfons Van Gompel, & Marek Wojciechowski. (2010). 163 Health Status of Children Adopted From Kazakhstan in Belgium. Pediatric Research. 68. 85–86. 1 indexed citations
8.
Meeus, M.T.H., E Peeters, José Ramet, Alfons Van Gompel, & Marek Wojciechowski. (2010). 268 Health Status of Children Adopted From Ethiopia in Belgium. Pediatric Research. 68. 138–138. 1 indexed citations
9.
Meeus, M.T.H., et al.. (2006). Product and process innovation, scientific research, knowledge dynamics and institutional change. Data Archiving and Networked Services (DANS). 1–23. 1 indexed citations
10.
Valk, T. van der, et al.. (2006). Dynamics in business models: An empirical analysis of medical biotechnology firms in the Netherlands. Technovation. 27(4). 221–232. 58 indexed citations
11.
Hage, Jerald & M.T.H. Meeus. (2006). Innovation, science and institutional change. A handbook of research. Data Archiving and Networked Services (DANS). 5 indexed citations
12.
Meeus, M.T.H., Jan Faber, & L.A.G. Oerlemans. (2006). Do network structures follow innovation strategy. Data Archiving and Networked Services (DANS). 131–146. 1 indexed citations
13.
Hekkert, Marko P., et al.. (2005). The evolution of hydrogen research: Is Germany heading for an early lock-in?. International Journal of Hydrogen Energy. 30(10). 1045–1052. 15 indexed citations
14.
Meeus, M.T.H., L.A.G. Oerlemans, & Jerald Hage. (2000). Patterns of interactive learning in a high-tech region. An empirical exploration of competing and complementary perspectives.. Data Archiving and Networked Services (DANS). 186. 2 indexed citations
15.
Meeus, M.T.H., L.A.G. Oerlemans, & F.W.M. Boekema. (1999). Learning, innovation, and proximity: An empirical exploration of patterns of learning. Data Archiving and Networked Services (DANS).
16.
Meeus, M.T.H., et al.. (1999). Regional systems of innovation from within. Data Archiving and Networked Services (DANS). 2 indexed citations
17.
Oerlemans, L.A.G., M.T.H. Meeus, & F.W.M. Boekema. (1998). Learning, innovation, and proximity. Research portal (Tilburg University). 7 indexed citations
18.
Meeus, M.T.H. & L.A.G. Oerlemans. (1995). The competitiveness of firms in the region of North Brabant. Data Archiving and Networked Services (DANS). 223–256. 2 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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