Robert-Jan Bosman

704 total citations
17 papers, 496 citations indexed

About

Robert-Jan Bosman is a scholar working on Epidemiology, Surgery and Emergency Medicine. According to data from OpenAlex, Robert-Jan Bosman has authored 17 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Surgery and 5 papers in Emergency Medicine. Recurrent topics in Robert-Jan Bosman's work include Sepsis Diagnosis and Treatment (5 papers), Emergency and Acute Care Studies (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Robert-Jan Bosman is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Emergency and Acute Care Studies (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Robert-Jan Bosman collaborates with scholars based in Netherlands, Switzerland and Australia. Robert-Jan Bosman's co-authors include Heleen M. Oudemans–van Straaten, Johan I. van der Spoel, D. F. Zandstra, Ameen Abu‐Hanna, Nicolette F. de Keizer, Niels Peek, Tudor Toma, Willemke Stilma, Saskia Rijkenberg and Peter H. J. van der Voort and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Clinical Epidemiology and Intensive Care Medicine.

In The Last Decade

Robert-Jan Bosman

15 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert-Jan Bosman Netherlands 11 217 108 100 84 83 17 496
Ryoung‐Eun Ko South Korea 13 240 1.1× 108 1.0× 21 0.2× 49 0.6× 148 1.8× 79 619
Lilian Minne Netherlands 8 351 1.6× 93 0.9× 44 0.4× 65 0.8× 158 1.9× 10 614
Matthew M. Ruppert United States 14 64 0.3× 96 0.9× 56 0.6× 150 1.8× 171 2.1× 42 696
Jason Kennedy United States 15 226 1.0× 74 0.7× 28 0.3× 44 0.5× 139 1.7× 43 585
Rodrigo Octávio Deliberato United States 13 328 1.5× 252 2.3× 42 0.4× 100 1.2× 119 1.4× 35 771
Ulrich Jaschinski Germany 13 375 1.7× 179 1.7× 38 0.4× 19 0.2× 95 1.1× 20 688
Gabriel Wardi United States 17 370 1.7× 114 1.1× 49 0.5× 184 2.2× 146 1.8× 75 779
Jeffrey Nowak United States 15 377 1.7× 124 1.1× 158 1.6× 17 0.2× 117 1.4× 28 665
Mustafa Kemal Arslantaş Türkiye 12 174 0.8× 84 0.8× 33 0.3× 18 0.2× 246 3.0× 40 546
Gül Gürsel Türkiye 16 254 1.2× 255 2.4× 140 1.4× 14 0.2× 82 1.0× 52 704

Countries citing papers authored by Robert-Jan Bosman

Since Specialization
Citations

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

Fields of papers citing papers by Robert-Jan Bosman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert-Jan Bosman. 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 Robert-Jan Bosman. The network helps show where Robert-Jan Bosman may publish in the future.

Co-authorship network of co-authors of Robert-Jan Bosman

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

All Works

17 of 17 papers shown
1.
Lagerburg, Vera, et al.. (2021). The development of a glucose prediction model in critically ill patients. Computer Methods and Programs in Biomedicine. 206. 106105–106105. 5 indexed citations
2.
Helmerhorst, Hendrik J. F., Marcus J. Schultz, Pepijn H. van der Voort, et al.. (2015). Stepwise Implementation Is Effective In Lowering Oxygenation Targets. American Journal of Respiratory and Critical Care Medicine. 191.
3.
Bosman, Robert-Jan, et al.. (2014). Severe hypomagnesaemia in the intensive care unit. Pure Amsterdam UMC. 18(5). 23–28. 1 indexed citations
4.
Rijkenberg, Saskia, et al.. (2014). Pain measurement in mechanically ventilated critically ill patients: Behavioral Pain Scale versus Critical-Care Pain Observation Tool. Journal of Critical Care. 30(1). 167–172. 87 indexed citations
5.
Toma, Tudor, Robert-Jan Bosman, Arno Siebes, Niels Peek, & Ameen Abu‐Hanna. (2010). Learning predictive models that use pattern discovery—A bootstrap evaluative approach applied in organ functioning sequences. Journal of Biomedical Informatics. 43(4). 578–586. 10 indexed citations
6.
Bosman, Robert-Jan, et al.. (2010). Validation and feasibility of two Continuous Glucose Monitoring Systems (CGMS) against point-of-care AccuChek® in critically ill patients; a pilot study. Pure Amsterdam UMC. 14(6). 381–387. 4 indexed citations
7.
Peelen, Linda M., Nicolette F. de Keizer, Evert de Jonge, et al.. (2009). Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit. Journal of Biomedical Informatics. 43(2). 273–286. 47 indexed citations
8.
Lange, Dylan W. de, Sylvia Brinkman, Robert-Jan Bosman, et al.. (2009). Severity of illness and outcome in ICU patients in the Netherlands: results from the NICE registry 2006-2007. Pure Amsterdam UMC. 13(1). 16–22. 13 indexed citations
9.
Abu‐Hanna, Ameen, et al.. (2008). A Subgroup Discovery Approach for Scrutinizing Blood Glucose Management Guidelines by the Identification of Hyperglycemia Determinants in ICU Patients. Methods of Information in Medicine. 47(6). 480–8. 10 indexed citations
10.
Toma, Tudor, Ameen Abu‐Hanna, & Robert-Jan Bosman. (2008). Discovery and integration of univariate patterns from daily individual organ-failure scores for intensive care mortality prediction. Artificial Intelligence in Medicine. 43(1). 47–60. 16 indexed citations
11.
Peek, Niels, Daniëlle G. T. Arts, Robert-Jan Bosman, Peter H. J. van der Voort, & Nicolette F. de Keizer. (2007). External validation of prognostic models for critically ill patients required substantial sample sizes. Journal of Clinical Epidemiology. 60(5). 491.e1–491.e13. 70 indexed citations
12.
Toma, Tudor, Ameen Abu‐Hanna, & Robert-Jan Bosman. (2007). Discovery and inclusion of SOFA score episodes in mortality prediction. Journal of Biomedical Informatics. 40(6). 649–660. 43 indexed citations
13.
Klooster, Johan M. van der, Robert-Jan Bosman, Heleen M. Oudemans–van Straaten, et al.. (2003). Disseminated tuberculosis, pulmonary aspergillosis and cutaneous herpes simplex infection in a patient with infliximab and methotrexate. Intensive Care Medicine. 29(12). 2327–2329. 52 indexed citations
14.
Bosman, Robert-Jan, Evert de Jonge, N. F. de Keizer, et al.. (2003). [Intensive care medicine in the Netherlands, 1997-2001. II. Changes over time and differences between hospitals].. PubMed. 147(21). 1018–24. 4 indexed citations
15.
Jonge, Evert de, et al.. (2003). [Intensive care medicine in the Netherlands, 1997-2001. I. Patient population and treatment outcome].. PubMed. 147(21). 1013–7. 26 indexed citations
16.
Jonge, Evert de, Robert-Jan Bosman, Peter H. J. van der Voort, et al.. (2003). Intensivecaregeneeskunde in Nederland, 1997-2001. I. Patiëntenpopulatie en resultaten van behandeling. Data Archiving and Networked Services (DANS). 147(21). 1013–1017.
17.
Straaten, Heleen M. Oudemans–van, Robert-Jan Bosman, Johan I. van der Spoel, & D. F. Zandstra. (1999). Outcome of critically ill patients treated with intermittent high-volume haemofiltration: a prospective cohort analysis. Intensive Care Medicine. 25(8). 814–821. 108 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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