Institution · Netherlands eScience Center
Most cited papers from Netherlands eScience Center
What are the most cited papers from Netherlands eScience Center?
The most cited paper from Netherlands eScience Center is "LOFAR: The LOw-Frequency ARray" (M. P. van Haarlem et al., 2013), with 2,718 citations. Next come "High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6" (1,218) and "GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data" (1,005).
Showing 50 of 59 papers. Every paper with more than 103 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | LOFAR: The LOw-Frequency ARray M. P. van Haarlem et al. · Astronomy and Astrophysics | 15 May 2013 | 2,718 |
| 2 | High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6 Rein Haarsma et al. · Geoscientific model development | 22 Nov 2016 | 1,218 |
| 3 | GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data Jairo Hidalgo Migueles, Alex V. Rowlands, Florian G. Huber et al. · Journal for the Measurement of Physical Behaviour | Sep 2019 | 1,005 |
| 4 | A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer Vincent T. van Hees, Sèverine Sabia, Kirstie N. Anderson et al. · PLoS ONE | 16 Nov 2015 | 785 |
| 5 | Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms Samuel E. Jones et al. · Nature Communications | 29 Jan 2019 | 752 |
| 6 | Bitcoin's Growing Energy Problem Alex de Vries · Joule | May 2018 | 696 |
| 7 | Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates Hassan S. Dashti et al. · Nature Communications | 7 Mar 2019 | 680 |
| 8 | PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model Edwin H. Sutanudjaja, Rens van Beek, Niko Wanders et al. · Geoscientific model development | 20 Jun 2018 | 674 |
| 9 | Estimating sleep parameters using an accelerometer without sleep diary Vincent T. van Hees, Sèverine Sabia, Samuel E. Jones et al. · Scientific Reports | 22 Aug 2018 | 597 |
| 10 | Evaluation of raw acceleration sedentary thresholds in children and adults Maria Hildebrand, Bjørge Herman Hansen, Vincent T. van Hees et al. · Scandinavian Journal of Medicine and Science in Sports | 22 Nov 2016 | 448 |
| 11 | Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud Barend Mons, Cameron Neylon, Jan Velterop et al. · Information Services & Use | Feb 2017 | 442 |
| 12 | Biological and clinical insights from genetics of insomnia symptoms HUNT All In Sleep et al. · Nature Genetics | 25 Feb 2019 | 430 |
| 13 | Hyper-resolution global hydrological modelling: what is next? Marc F. P. Bierkens et al. · Hydrological Processes | 8 Nov 2014 | 427 |
| 14 | Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity Judith E. Möller, Damian Trilling, Natali Helberger et al. · Information Communication & Society | Mar 2018 | 387 |
| 15 | Towards FAIR principles for research software Anna‐Lena Lamprecht, Leyla Garcia, Mateusz Kuzak et al. · Data Science | 13 Nov 2019 | 339 |
| 16 | Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour Samuel E. Jones et al. · Nature Communications | 5 Apr 2019 | 339 |
| 17 | DOME: recommendations for supervised machine learning validation in biology Walsh I. et al. · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) | 2021 | 266 |
| 18 | Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes Heming Wang et al. · Nature Communications | 13 Aug 2019 | 265 |
| 19 | When the Brain Takes a Break: A Model-Based Analysis of Mind Wandering Matthias Mittner, Wouter Boekel, Adrienne M. Tucker et al. · Journal of Neuroscience | 3 Dec 2014 | 257 |
| 20 | Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships Florian G. Huber, Lars Ridder, Stefan Verhoeven et al. · PLoS Computational Biology | 16 Feb 2021 | 252 |
| 21 | Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions Simon P. Driver et al. · Monthly Notices of the Royal Astronomical Society | 21 Feb 2022 | 251 |
| 22 | Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI Max C. Keuken, Pierre‐Louis Bazin, L. Crown et al. · NeuroImage | 20 Mar 2014 | 236 |
| 23 | The Astrophysical Multipurpose Software Environment F. I. Pelupessy, A. van Elteren, N. de Vries et al. · Astronomy and Astrophysics | 12 Jul 2013 | 216 |
| 24 | Tales of future weather Wilco Hazeleger, Bart van den Hurk, Elizabeth Min et al. · Nature Climate Change | 27 Jan 2015 | 210 |
| 25 | MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra Florian G. Huber, Sven van der Burg, Justin J. J. van der Hooft et al. · Journal of Cheminformatics | 29 Oct 2021 | 203 |
| 26 | Application of text mining in the biomedical domain Wilco Fleuren, Wynand B. L. Alkema · Methods | 30 Jan 2015 | 199 |
| 27 | DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces Manon F. Réau, Nicolas Renaud, Li C. Xue et al. · Bioinformatics | 23 Nov 2022 | 193 |
| 28 | HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR – description, model computational performance and basic validation Rein Haarsma et al. · Geoscientific model development | 6 Aug 2020 | 188 |
| 29 | Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches Mehdi A. Beniddir, Kyo Bin Kang, Grégory Genta‐Jouve et al. · Natural Product Reports | 2021 | 176 |
| 30 | Elderly with Autism: Executive Functions and Memory Hilde M. Geurts, Marlies E. Vissers · Journal of Autism and Developmental Disorders | 7 Jun 2011 | 175 |
| 31 | Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study Mehdi Menai, Vincent T. van Hees, Alexis Elbaz et al. · Scientific Reports | 3 Apr 2017 | 170 |
| 32 | A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term Henri E. Bal, Dick H. J. Epema, Cees de Laat et al. · Computer | May 2016 | 161 |
| 33 | Four simple recommendations to encourage best practices in research software Rafael C. Jiménez et al. · F1000Research | 13 Jun 2017 | 157 |
| 34 | Data-driven medicinal chemistry in the era of big data Scott J. Lusher, Ross McGuire, René C. van Schaik et al. · Drug Discovery Today | 17 Dec 2013 | 157 |
| 35 | Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP Veronika Eyring et al. · Geoscientific model development | 30 Jul 2020 | 154 |
| 36 | CT image segmentation of bone for medical additive manufacturing using a convolutional neural network Jordi Minnema, Maureen A.J.M. van Eijnatten, Wouter M. Kouw et al. · Computers in Biology and Medicine | 15 Oct 2018 | 144 |
| 37 | Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview Mattia Righi, Bouwe Andela, Veronika Eyring et al. · Geoscientific model development | 16 Mar 2020 | 141 |
| 38 | Substructure‐based annotation of high‐resolution multistage MS n spectral trees Lars Ridder, Justin J. J. van der Hooft, Stefan Verhoeven et al. · Rapid Communications in Mass Spectrometry | 10 Sep 2012 | 139 |
| 39 | Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding Job Dullaart, Sanne Muis, Nadia Bloemendaal et al. · Communications Earth & Environment | 29 Jun 2021 | 134 |
| 40 | Renewable Energy Will Not Solve Bitcoin’s Sustainability Problem Alex de Vries · Joule | 14 Mar 2019 | 134 |
| 41 | A community resource for paired genomic and metabolomic data mining Michelle Schorn et al. · Nature Chemical Biology | 15 Feb 2021 | 133 |
| 42 | matchms - processing and similarity evaluation of mass spectrometry data. Florian G. Huber, Stefan Verhoeven, Christiaan Meijer et al. · The Journal of Open Source Software | 31 Aug 2020 | 133 |
| 43 | Automatic Chemical Structure Annotation of an LC–MSn Based Metabolic Profile from Green Tea Lars Ridder, Justin J. J. van der Hooft, Stefan Verhoeven et al. · Analytical Chemistry | 10 May 2013 | 133 |
| 44 | Effect of galaxy mergers on star-formation rates W. J. Pearson, L. Wang, M. Alpaslan et al. · Astronomy and Astrophysics | 13 Sep 2019 | 132 |
| 45 | Chromatic periodic activity down to 120 megahertz in a fast radio burst Inés Pastor-Marazuela et al. · Nature | 25 Aug 2021 | 131 |
| 46 | Future equivalent of 2010 Russian heatwave intensified by weakening soil moisture constraints L. M. Rasmijn, Gerard van der Schrier, Richard Bintanja et al. · Nature Climate Change | 19 Mar 2018 | 130 |
| 47 | Structural Elucidation and Quantification of Phenolic Conjugates Present in Human Urine after Tea Intake Justin J. J. van der Hooft, Ric C. H. de Vos, Velitchka V. Mihaleva et al. · Analytical Chemistry | 20 Jul 2012 | 130 |
| 48 | DeepRank: a deep learning framework for data mining 3D protein-protein interfaces Nicolas Renaud, Cunliang Geng, Sonja Georgievska et al. · Nature Communications | 3 Dec 2021 | 127 |
| 49 | Detecting cosmic rays with the LOFAR radio telescope P. Schellart et al. · Astronomy and Astrophysics | 7 Nov 2013 | 127 |
| 50 | Comparative Analysis of Pharmacophore Screening Tools Marijn P. A. Sanders, Arménio Jorge Moura Barbosa, Barbara A. Zarzycka et al. · Journal of Chemical Information and Modeling | 30 May 2012 | 116 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.