Dries Myny

780 total citations
20 papers, 582 citations indexed

About

Dries Myny is a scholar working on General Health Professions, Critical Care and Intensive Care Medicine and Issues, ethics and legal aspects. According to data from OpenAlex, Dries Myny has authored 20 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 4 papers in Critical Care and Intensive Care Medicine and 4 papers in Issues, ethics and legal aspects. Recurrent topics in Dries Myny's work include Workplace Health and Well-being (6 papers), Geriatric Care and Nursing Homes (5 papers) and Nursing Diagnosis and Documentation (4 papers). Dries Myny is often cited by papers focused on Workplace Health and Well-being (6 papers), Geriatric Care and Nursing Homes (5 papers) and Nursing Diagnosis and Documentation (4 papers). Dries Myny collaborates with scholars based in Belgium, Netherlands and Australia. Dries Myny's co-authors include Tom Defloor, Dirk Van Goubergen, Ann Van Hecke, Micheline Gobert, Stijn Blot, Katrien Vanderwee, Francis Colardyn, Sofie Verhaeghe, Pieter Depuydt and Lisette Schoonhoven and has published in prestigious journals such as Critical Care Medicine, Intensive Care Medicine and Journal of Advanced Nursing.

In The Last Decade

Dries Myny

19 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dries Myny Belgium 13 199 128 109 95 83 20 582
Lilia de Souza Nogueira Brazil 17 224 1.1× 80 0.6× 102 0.9× 273 2.9× 104 1.3× 83 816
Willa Fields United States 14 305 1.5× 36 0.3× 52 0.5× 59 0.6× 32 0.4× 47 665
Alba Lúcia Bottura Leite de Barros Brazil 15 269 1.4× 77 0.6× 77 0.7× 35 0.4× 73 0.9× 110 916
Laura Cullen United States 19 566 2.8× 66 0.5× 29 0.3× 47 0.5× 32 0.4× 70 1.0k
Juliana de Lima Lopes Brazil 15 174 0.9× 62 0.5× 49 0.4× 50 0.5× 57 0.7× 110 758
Susan Klaus United States 11 214 1.1× 23 0.2× 74 0.7× 114 1.2× 20 0.2× 15 466
Maria Carolina Barbosa Teixeira Lopes Brazil 14 169 0.8× 37 0.3× 28 0.3× 131 1.4× 56 0.7× 75 592
Marta Raurell‐Torredà Spain 13 126 0.6× 71 0.6× 27 0.2× 45 0.5× 14 0.2× 59 492
Anna Krupp United States 10 68 0.3× 80 0.6× 23 0.2× 39 0.4× 34 0.4× 29 393
Diane Storer Brown United States 17 440 2.2× 13 0.1× 202 1.9× 129 1.4× 28 0.3× 34 872

Countries citing papers authored by Dries Myny

Since Specialization
Citations

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

Fields of papers citing papers by Dries Myny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dries Myny

This figure shows the co-authorship network connecting the top 25 collaborators of Dries Myny. A scholar is included among the top collaborators of Dries Myny 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 Dries Myny. Dries Myny 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, Ellen, et al.. (2024). Unravelling the ideal roster: A cross‐sectional study of nurse shift preferences using multivariate analysis. Journal of Advanced Nursing. 81(4). 1829–1844. 3 indexed citations
2.
Marneffe, Wim, et al.. (2024). Onco@home: comparing the costs and reimbursement of cancer treatment at home with the standard of care. Archives of Public Health. 82(1). 95–95.
3.
Gemmel, Paul, et al.. (2023). An organizational design perspective on the monthly self‐scheduling process in nursing homes: A multiple case study. Journal of Advanced Nursing. 79(8). 2936–2954. 1 indexed citations
4.
Gemmel, Paul, et al.. (2021). The effect of self-scheduling on organizational justice and work attitudes through leader-member exchange: A cross-sectional study using propensity scores. International Journal of Nursing Studies. 122. 104032–104032. 14 indexed citations
5.
Trybou, Jeroen, et al.. (2021). Differences in work attitudes when nurses get their ideal roster based on their shift preferences. Academy of Management Proceedings. 2021(1). 14347–14347. 1 indexed citations
6.
Gemmel, Paul, et al.. (2020). Systematic review: What is the impact of self‐scheduling on the patient, nurse and organization?. Journal of Advanced Nursing. 77(1). 47–82. 24 indexed citations
7.
Beeckman, Dimitri, et al.. (2018). How much of Toyota's philosophy is embedded in health care at the organisational level? A review. Journal of Nursing Management. 26(4). 348–357. 7 indexed citations
9.
Ongenae, Femke, Dries Myny, Tom Dhaene, et al.. (2014). Probabilistic Priority Assessment of Nurse Calls. Medical Decision Making. 34(4). 485–502. 2 indexed citations
10.
Myny, Dries, Dirk De Bacquer, Ann Van Hecke, et al.. (2013). Validation of standard times and influencing factors during the development of the Workload Indicator for Nursing. Journal of Advanced Nursing. 70(3). 674–686. 20 indexed citations
11.
Myny, Dries, et al.. (2012). Measuring the nursing workload per shift in the ICU. Intensive Care Medicine. 38(9). 1438–1444. 64 indexed citations
12.
Myny, Dries, Dirk Van Goubergen, Micheline Gobert, et al.. (2011). Non-direct patient care factors influencing nursing workload: a review of the literature. Journal of Advanced Nursing. 67(10). 2109–2129. 77 indexed citations
13.
Ongenae, Femke, Dries Myny, Tom Dhaene, et al.. (2011). An ontology-based nurse call management system (oNCS) with probabilistic priority assessment. BMC Health Services Research. 11(1). 26–26. 17 indexed citations
14.
Myny, Dries, Ann Van Hecke, Dirk De Bacquer, et al.. (2011). Determining a set of measurable and relevant factors affecting nursing workload in the acute care hospital setting: A cross-sectional study. International Journal of Nursing Studies. 49(4). 427–436. 92 indexed citations
15.
Myny, Dries, Dirk Van Goubergen, Veronique Limère, et al.. (2009). Determination of standard times of nursing activities based on a Nursing Minimum Dataset. Journal of Advanced Nursing. 66(1). 92–102. 30 indexed citations
16.
Defloor, Tom, et al.. (2006). Reliability of the European Pressure Ulcer Advisory Panel classification system. Journal of Advanced Nursing. 54(2). 189–198. 85 indexed citations
17.
Depuydt, Pieter, Dries Myny, & Stijn Blot. (2006). Nosocomial pneumonia: aetiology, diagnosis and treatment. Current Opinion in Internal Medicine. 5(4). 352–357. 19 indexed citations
18.
Myny, Dries, Pieter Depuydt, Francis Colardyn, & Stijn Blot. (2005). VENTILATOR-ASSOCIATED PNEUMONIA IN A TERTIARY CARE ICU: ANALYSIS OF RISK FACTORS FOR ACQUISITION AND MORTALITY. Acta Clinica Belgica. 60(3). 114–121. 65 indexed citations
19.
Myny, Dries, Jan J. De Waele, Tom Defloor, Stijn Blot, & Francis Colardyn. (2005). Temporal Scanner Thermometry: A New Method of Core Temperature Estimation in ICU Patients. Scottish Medical Journal. 50(1). 15–18. 41 indexed citations
20.
Decruyenaere, Johan, et al.. (2004). CALCULATION OF THE TOTAL COST OF OWNERSHIP OF AN INTENSIVE CARE INFORMATION SYSTEM. Critical Care Medicine. 32(Supplement). A29–A29. 1 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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