KGM Moons

605 total citations
5 papers, 243 citations indexed

About

KGM Moons is a scholar working on Statistics, Probability and Uncertainty, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, KGM Moons has authored 5 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Statistics, Probability and Uncertainty, 1 paper in Infectious Diseases and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in KGM Moons's work include Meta-analysis and systematic reviews (2 papers), Neonatal Health and Biochemistry (1 paper) and Statistical Methods in Epidemiology (1 paper). KGM Moons is often cited by papers focused on Meta-analysis and systematic reviews (2 papers), Neonatal Health and Biochemistry (1 paper) and Statistical Methods in Epidemiology (1 paper). KGM Moons collaborates with scholars based in Netherlands, United Kingdom and Germany. KGM Moons's co-authors include D. E. Grobbee, HA Moll, G Derksen‐Lubsen, Steven W J Nijman, Folkert W. Asselbergs, Artuur Leeuwenberg, Inés Beekers, Thomas P. A. Debray, A. Rogier T. Donders and Rianne Oostenbrink and has published in prestigious journals such as Journal of Clinical Epidemiology, Acta Paediatrica and Data Archiving and Networked Services (DANS).

In The Last Decade

KGM Moons

5 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
KGM Moons Netherlands	4	98	55	42	39	38	5	243
Andrew Ward United States	11	99 1.0×	39 0.7×	12 0.3×	54 1.4×	72 1.9×	36	373
Svetlana Ostapenko United States	6	141 1.4×	29 0.5×	13 0.3×	57 1.5×	80 2.1×	10	235
Jens Schierbeck Denmark	10	174 1.8×	112 2.0×	103 2.5×	6 0.2×	17 0.4×	24	502
Hannah Watson United Kingdom	9	45 0.5×	50 0.9×	74 1.8×	30 0.8×	35 0.9×	19	270
Laura Stevens United States	10	73 0.7×	63 1.1×	42 1.0×	27 0.7×	66 1.7×	18	490
Hsien-Wei Ting Taiwan	13	100 1.0×	47 0.9×	70 1.7×	9 0.2×	33 0.9×	31	411
Lisa Stephens United States	10	30 0.3×	85 1.5×	31 0.7×	53 1.4×	106 2.8×	20	360
Bob van den Berg Netherlands	4	165 1.7×	15 0.3×	55 1.3×	9 0.2×	20 0.5×	5	354
Brooks Kuhn United States	10	38 0.4×	27 0.5×	33 0.8×	6 0.2×	18 0.5×	38	350

Countries citing papers authored by KGM Moons

Since Specialization

Citations

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

Fields of papers citing papers by KGM Moons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KGM Moons

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

All Works

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5 of 5 papers shown

1.

Nijman, Steven W J, Artuur Leeuwenberg, Inés Beekers, et al.. (2021). Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review. Journal of Clinical Epidemiology. 142. 218–229. 124 indexed citations

2.

Heus, Pauline, Lotty Hooft, Johannes B. Reitsma, et al.. (2016). Reporting of clinical prediction model studies in journal and conference abstracts: TRIPOD for Abstracts. Data Archiving and Networked Services (DANS). 32–33. 1 indexed citations

3.

Derksen‐Lubsen, G, et al.. (2006). Validating and updating a prediction rule for serious bacterial infection in patients with fever without source. Acta Paediatrica. 96(1). 100–104. 49 indexed citations

4.

Oostenbrink, Rianne, KGM Moons, G Derksen‐Lubsen, D. E. Grobbee, & HA Moll. (2002). Early prediction of neurological sequelae or death after bacterial meningitis. Acta Paediatrica. 91(4). 391–398. 24 indexed citations

5.

Moons, KGM, et al.. (2001). Predicting serious bacterial infection in young children with fever without apparent source. Acta Paediatrica. 90(11). 1226–1231. 45 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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