Pim Moeskops

1.8k total citations
26 papers, 661 citations indexed

About

Pim Moeskops is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Pim Moeskops has authored 26 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pediatrics, Perinatology and Child Health, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Physiology. Recurrent topics in Pim Moeskops's work include Neonatal and fetal brain pathology (11 papers), Infant Development and Preterm Care (5 papers) and Nutrition and Health in Aging (5 papers). Pim Moeskops is often cited by papers focused on Neonatal and fetal brain pathology (11 papers), Infant Development and Preterm Care (5 papers) and Nutrition and Health in Aging (5 papers). Pim Moeskops collaborates with scholars based in Netherlands, Germany and United Kingdom. Pim Moeskops's co-authors include Ivana Išgum, Manon J.N.L. Benders, Linda S. de Vries, Max A. Viergever, Floris Groenendaal, Karina J. Kersbergen, Josien P. W. Pluim, Nathalie H.P. Claessens, Hugo J. Kuijf and Adriënne M. Mendrik and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Pim Moeskops

25 papers receiving 653 citations

Peers

Pim Moeskops

PPCH

RNMI

CVPR

PRM

NEURO

Alireza Akhondi‐Asl United States

Nathalie Bednarek France

Shafik N. Wassef United States

Jakob Wasserthal Switzerland

Andreas Schuh United Kingdom

Willem H. Bouvy Netherlands

Vaanathi Sundaresan United Kingdom

Chuyang Ye China

Florian Dubost Netherlands

Jean‐Marie Scarabin France

Alireza Akhondi‐Asl United States

Pim Moeskops

323 ×1.3

PPCH

300 ×1.4

RNMI

181 ×1.4

CVPR

87 ×0.7

PRM

43 ×0.4

NEURO

Citations per year, relative to Pim Moeskops Pim Moeskops (= 1×) peers Alireza Akhondi‐Asl

Countries citing papers authored by Pim Moeskops

Since Specialization

Citations

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

Fields of papers citing papers by Pim Moeskops

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pim Moeskops

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

All Works

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20 of 20 papers shown

Moeskops, Pim, et al.. (2024). Fat-Free Mass Derived From Bioimpedance Spectroscopy and Computed Tomography are in Good Agreement in Patients With Chronic Kidney Disease. Journal of Renal Nutrition. 35(1). 72–80.

Moeskops, Pim, Josje D. Schoufour, Peter J.M. Weijs, et al.. (2024). Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis. Clinical Nutrition ESPEN. 63. 142–147. 4 indexed citations

Moeskops, Pim, Annemieke S. Littooij, Pim A. de Jong, et al.. (2023). Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study. Pediatric Radiology. 53(12). 2492–2501. 2 indexed citations

Houwert, Roderick M., Rolf H. H. Groenwold, Pim Moeskops, et al.. (2023). The association of radiologic body composition parameters with clinical outcomes in level-1 trauma patients. European Journal of Trauma and Emergency Surgery. 49(4). 1947–1958. 2 indexed citations

Boosman, René J., Wouter B. Veldhuis, Stefanie L. Groenland, et al.. (2022). Exposure–Response Analysis of Osimertinib in EGFR Mutation Positive Non-Small Cell Lung Cancer Patients in a Real-Life Setting. Pharmaceutical Research. 39(10). 2507–2514. 14 indexed citations

Moeskops, Pim, Josje D. Schoufour, Peter J.M. Weijs, et al.. (2022). Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area. Frontiers in Nutrition. 9. 781860–781860. 14 indexed citations

Veldhuis, Wouter B., et al.. (2021). Towards Personalised Contrast Injection: Artificial-Intelligence-Derived Body Composition and Liver Enhancement in Computed Tomography. Journal of Personalized Medicine. 11(3). 159–159. 8 indexed citations

Khalili, Nadieh, Elise Turk, Manon J.N.L. Benders, et al.. (2019). Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks. NeuroImage Clinical. 24. 102061–102061. 22 indexed citations

Keunen, Kristin, Pim Moeskops, Nathalie H.P. Claessens, et al.. (2018). Severe retinopathy of prematurity is associated with reduced cerebellar and brainstem volumes at term and neurodevelopmental deficits at 2 years. Pediatric Research. 83(4). 818–824. 24 indexed citations

10.

Melbourne, Andrew, Roxane Licandro, Matthew D. DiFranco, et al.. (2018). Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis. Lecture notes in computer science. 22 indexed citations

11.

Keunen, Kristin, Hannelore K. van der Burgh, Marcel A. de Reus, et al.. (2018). Early human brain development: insights into macroscale connectome wiring. Pediatric Research. 84(6). 829–836. 9 indexed citations

12.

Moeskops, Pim, Jeroen de Bresser, Hugo J. Kuijf, et al.. (2017). Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI. NeuroImage Clinical. 17. 251–262. 77 indexed citations

13.

Moeskops, Pim, Ivana Išgum, Kristin Keunen, et al.. (2017). Prediction of cognitive and motor outcome of preterm infants based on automatic quantitative descriptors from neonatal MR brain images. Scientific Reports. 7(1). 2163–2163. 24 indexed citations

14.

Tataranno, Maria Luisa, Nathalie H.P. Claessens, Pim Moeskops, et al.. (2017). Changes in brain morphology and microstructure in relation to early brain activity in extremely preterm infants. Pediatric Research. 83(4). 834–842. 19 indexed citations

15.

Claessens, Nathalie H.P., Pim Moeskops, Andreas Buchmann, et al.. (2016). Delayed cortical gray matter development in neonates with severe congenital heart disease. Pediatric Research. 80(5). 668–674. 49 indexed citations

16.

Kersbergen, Karina J., F. Leroy, Ivana Išgum, et al.. (2016). Relation between clinical risk factors, early cortical changes, and neurodevelopmental outcome in preterm infants. NeuroImage. 142. 301–310. 57 indexed citations

17.

Moeskops, Pim, Max A. Viergever, Manon J.N.L. Benders, & Ivana Išgum. (2015). Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 941315–941315. 10 indexed citations

18.

Moeskops, Pim, Manon J.N.L. Benders, Karina J. Kersbergen, et al.. (2015). Development of Cortical Morphology Evaluated with Longitudinal MR Brain Images of Preterm Infants. PLoS ONE. 10(7). e0131552–e0131552. 48 indexed citations

19.

Moeskops, Pim, Manon J.N.L. Benders, Karina J. Kersbergen, et al.. (2015). Automatic segmentation of MR brain images of preterm infants using supervised classification. NeuroImage. 118. 628–641. 62 indexed citations

20.

Brunenberg, Ellen, Pim Moeskops, Walter H. Backes, et al.. (2012). Structural and Resting State Functional Connectivity of the Subthalamic Nucleus: Identification of Motor STN Parts and the Hyperdirect Pathway. PLoS ONE. 7(6). e39061–e39061. 114 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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