Ruud Nijman

2.6k total citations · 1 hit paper
48 papers, 795 citations indexed

About

Ruud Nijman is a scholar working on Emergency Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ruud Nijman has authored 48 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Emergency Medicine, 23 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ruud Nijman's work include Emergency and Acute Care Studies (24 papers), Sepsis Diagnosis and Treatment (19 papers) and COVID-19 and healthcare impacts (6 papers). Ruud Nijman is often cited by papers focused on Emergency and Acute Care Studies (24 papers), Sepsis Diagnosis and Treatment (19 papers) and COVID-19 and healthcare impacts (6 papers). Ruud Nijman collaborates with scholars based in United Kingdom, Netherlands and Italy. Ruud Nijman's co-authors include Rianne Oostenbrink, Henriëtte A. Moll, Yvonne Vergouwe, Ewout W. Steyerberg, Johan van der Lei, Matthew Thompson, Michael Levin, Shunmay Yeung, Clare Wilson and Aubrey J. Cunnington and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ruud Nijman

42 papers receiving 782 citations

Hit Papers

Treatment of Multisystem Inflammatory Syndrome in Children 2021 2026 2022 2024 2021 50 100 150

Peers

Ruud Nijman
Jason M. Kane United States
Tracey R. Hoke United States
Paul Ishimine United States
Reid Farris United States
Nelly Ninis United Kingdom
Ruud Nijman
Citations per year, relative to Ruud Nijman Ruud Nijman (= 1×) peers Romain Guedj

Countries citing papers authored by Ruud Nijman

Since Specialization
Citations

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

Fields of papers citing papers by Ruud Nijman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruud Nijman

This figure shows the co-authorship network connecting the top 25 collaborators of Ruud Nijman. A scholar is included among the top collaborators of Ruud Nijman 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 Ruud Nijman. Ruud Nijman 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.
Dewez, Juan Emmanuel, Ruud Nijman, Elizabeth Fitchett, et al.. (2023). Adoption of C-reactive protein point-of-care tests for the management of acute childhood infections in primary care in the Netherlands and England: a comparative health systems analysis. BMC Health Services Research. 23(1). 191–191. 7 indexed citations
3.
Marzinotto, M., et al.. (2023). Type Tests for Hybrid HVDC Breakers: a Technical Feasible Solution. 1–6. 1 indexed citations
4.
Costelloe, Céire, et al.. (2022). Retrospective analysis of North West London healthcare utilisation by children during the COVID-19 pandemic. BMJ Paediatrics Open. 6(1). e001363–e001363. 2 indexed citations
5.
Roland, Damian, Silvia Bressan, Kate Honeyford, et al.. (2022). Influence of epidemics and pandemics on paediatric ED use: a systematic review. Archives of Disease in Childhood. 108(2). 115–122. 11 indexed citations
6.
Honeyford, Kate, Ruud Nijman, Paul Expert, et al.. (2021). Changes in Emergency Department Activity and the First COVID-19 Lockdown: A Cross-sectional Study. Western Journal of Emergency Medicine. 22(3). 603–607. 17 indexed citations
7.
Li, Edmond, Juan Emmanuel Dewez, Marieke Emonts, et al.. (2021). Role of point-of-care tests in the management of febrile children: a qualitative study of hospital-based doctors and nurses in England. BMJ Open. 11(5). e044510–e044510. 3 indexed citations
8.
Nijman, Ruud, Santiago Mintegi, Christoph Bidlingmaier, et al.. (2020). Emergency care provided to refugee children in Europe: RefuNET: a cross-sectional survey study. Emergency Medicine Journal. 38(1). 5–13. 12 indexed citations
9.
Nijman, Ruud, et al.. (2020). Clinical practice guidelines for acute otitis media in children: a systematic review and appraisal of European national guidelines. BMJ Open. 10(5). e035343–e035343. 53 indexed citations
10.
Nijman, Ruud, et al.. (2020). Management of Children With Fever at Risk for Pediatric Sepsis: A Prospective Study in Pediatric Emergency Care. Frontiers in Pediatrics. 8. 548154–548154. 12 indexed citations
11.
Levin, Michael, Aubrey J. Cunnington, Clare Wilson, et al.. (2019). Effects of saline or albumin fluid bolus in resuscitation: evidence from re-analysis of the FEAST trial. The Lancet Respiratory Medicine. 7(7). 581–593. 47 indexed citations
12.
Dewez, Juan Emmanuel, Ruud Nijman, & Shunmay Yeung. (2019). Fluids in the management of sepsis in children: a review of guidelines in the aftermath of the FEAST trial. Archives of Disease in Childhood. 104(12). 1236–1236. 2 indexed citations
13.
Vos‐Kerkhof, Evelien de, Borja Gómez, Karen Milcent, et al.. (2018). Clinical prediction models for young febrile infants at the emergency department: an international validation study. Archives of Disease in Childhood. 103(11). archdischild–2017. 14 indexed citations
14.
Veen, Mirjam van, Ruud Nijman, Willem A. Dik, et al.. (2015). Neutrophil CD64 expression is not a useful biomarker for detecting serious bacterial infections in febrile children at the emergency department. Infectious Diseases. 48(5). 331–337. 4 indexed citations
15.
Vos‐Kerkhof, Evelien de, Ruud Nijman, Yvonne Vergouwe, et al.. (2015). Impact of a Clinical Decision Model for Febrile Children at Risk for Serious Bacterial Infections at the Emergency Department: A Randomized Controlled Trial. PLoS ONE. 10(5). e0127620–e0127620. 25 indexed citations
16.
Nijman, Ruud, Henriëtte A. Moll, Frank J. Smit, et al.. (2014). C-reactive Protein, Procalcitonin and the Lab-Score for Detecting Serious Bacterial Infections in Febrile Children at the Emergency Department. The Pediatric Infectious Disease Journal. 33(11). e273–e279. 52 indexed citations
17.
Nijman, Ruud, Yvonne Vergouwe, Matthew Thompson, et al.. (2013). Clinical prediction model to aid emergency doctors managing febrile children at risk of serious bacterial infections: diagnostic study. BMJ. 346(apr02 1). f1706–f1706. 102 indexed citations
18.
Ierland, Yvette van, Gijs Elshout, Henriëtte A. Moll, et al.. (2013). Use of alarm features in referral of febrile children to the emergency department: an observational study. British Journal of General Practice. 64(618). e1–e9. 4 indexed citations
19.
Nijman, Ruud, Mirjam van Veen, Ewout W. Steyerberg, et al.. (2011). Can urgency classification of the Manchester triage system predict serious bacterial infections in febrile children?. Archives of Disease in Childhood. 96(8). 715–722. 15 indexed citations
20.
Nijman, Ruud, et al.. (2010). Parental Fever Attitude and Management. Pediatric Emergency Care. 26(5). 339–342. 28 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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