Richard Bartels

1.1k total citations
17 papers, 448 citations indexed

About

Richard Bartels is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Richard Bartels has authored 17 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 9 papers in Astronomy and Astrophysics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Richard Bartels's work include Astrophysics and Cosmic Phenomena (9 papers), Pulsars and Gravitational Waves Research (6 papers) and Dark Matter and Cosmic Phenomena (5 papers). Richard Bartels is often cited by papers focused on Astrophysics and Cosmic Phenomena (9 papers), Pulsars and Gravitational Waves Research (6 papers) and Dark Matter and Cosmic Phenomena (5 papers). Richard Bartels collaborates with scholars based in Netherlands, Germany and France. Richard Bartels's co-authors include Christoph Weniger, Shin’ichiro Ando, Daniele Gaggero, T. Edwards, Jeroen Dudink, Francesca Calore, Ellery Storm, Daniel C. Vijlbrief, Fabio Zandanel and Saskia Haitjema and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Journal of Clinical Epidemiology.

In The Last Decade

Richard Bartels

17 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Bartels Netherlands 11 338 283 17 16 16 17 448
Ryan Miranda United States 11 51 0.2× 614 2.2× 6 0.4× 3 0.2× 22 1.4× 13 757
Jordan Hovdebo Canada 8 190 0.6× 190 0.7× 1 0.1× 10 0.6× 5 0.3× 12 305
Christopher Duckworth United Kingdom 9 15 0.0× 127 0.4× 35 2.1× 7 0.4× 50 3.1× 13 252
M. Martı́nez Spain 12 325 1.0× 150 0.5× 34 2.1× 8 0.5× 56 441
M. J. M. Marchã United Kingdom 16 572 1.7× 618 2.2× 2 0.1× 2 0.1× 11 0.7× 28 682
Yukihiro Mimura United States 19 960 2.8× 212 0.7× 5 0.3× 11 0.7× 65 1.1k
S. Paiano Italy 11 363 1.1× 273 1.0× 7 0.4× 7 0.4× 35 415
M. Altmann Germany 16 27 0.1× 557 2.0× 4 0.2× 11 0.7× 4 0.3× 26 628
Siyao Xu United States 15 238 0.7× 556 2.0× 13 0.8× 9 0.6× 50 645
J. W. Martin Canada 9 76 0.2× 18 0.1× 3 0.2× 5 0.3× 8 0.5× 18 203

Countries citing papers authored by Richard Bartels

Since Specialization
Citations

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

Fields of papers citing papers by Richard Bartels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Bartels

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Bartels. A scholar is included among the top collaborators of Richard Bartels 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 Richard Bartels. Richard Bartels 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.
Hond, Anne de, Sjoerd de Vries, Richard Bartels, et al.. (2024). Don't be misled: 3 misconceptions about external validation of clinical prediction models. Journal of Clinical Epidemiology. 172. 111387–111387. 21 indexed citations
2.
Flier, Michiel van der, et al.. (2023). Development and clinical impact assessment of a machine-learning model for early prediction of late-onset sepsis. Computers in Biology and Medicine. 163. 107156–107156. 14 indexed citations
3.
Schlotter, Yvette M., et al.. (2022). Efficacy of subcutaneous allergen immunotherapy in atopic dogs: A retrospective study of 664 cases. Veterinary Dermatology. 33(4). 321–321. 10 indexed citations
4.
5.
Bartels, Richard, Jeroen Dudink, Saskia Haitjema, Daniel L. Oberski, & A. van’t Veen. (2022). A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care. Frontiers in Digital Health. 4. 942588–942588. 15 indexed citations
6.
Flier, Michiel van der, et al.. (2022). Development and Clinical Impact Assessment of a Machine-Learning Model for Early Prediction of Late-Onset Sepsis. SSRN Electronic Journal. 2 indexed citations
7.
Tataranno, Maria Luisa, et al.. (2022). The Sleep Well Baby project: an automated real-time sleep–wake state prediction algorithm in preterm infants. SLEEP. 45(10). 17 indexed citations
8.
Bartels, Richard & T. Edwards. (2019). Comment on “Understanding the γ-ray emission from the globular cluster 47 Tuc: Evidence for dark matter?”. Physical review. D. 100(6). 7 indexed citations
9.
Bartels, Richard, Francesca Calore, Ellery Storm, & Christoph Weniger. (2018). Galactic binaries can explain the Fermi Galactic centre excess and 511 keV emission. Monthly Notices of the Royal Astronomical Society. 480(3). 3826–3841. 24 indexed citations
10.
Bartels, Richard, T. Edwards, & Christoph Weniger. (2018). Bayesian model comparison and analysis of the Galactic disc population of gamma-ray millisecond pulsars. Monthly Notices of the Royal Astronomical Society. 481(3). 3966–3987. 30 indexed citations
11.
Bartels, Richard, Dan Hooper, Tim Linden, et al.. (2018). Comment on “Characterizing the population of pulsars in the Galactic bulge with the Fermi large area telescope” [arXiv:1705.00009v1]. Physics of the Dark Universe. 20. 88–94. 14 indexed citations
12.
Bartels, Richard, Daniele Gaggero, & Christoph Weniger. (2017). Prospects for indirect dark matter searches with MeV photons. Journal of Cosmology and Astroparticle Physics. 2017(5). 1–1. 44 indexed citations
13.
Bartels, Richard, et al.. (2016). Strong Support for the Millisecond Pulsar Origin of the Galactic Center GeV Excess. Physical Review Letters. 116(5). 51102–51102. 196 indexed citations
14.
Bartels, Richard & Christoph Weniger. (2016). Millisecond Pulsars in the Galactic Bulge? An Extended Discussion on the Wavelet Analysis of the Fermi-LAT data. Proceedings of the International Astronomical Union. 11(S322). 193–196. 1 indexed citations
15.
Weniger, Christoph, et al.. (2016). Testing the interpretation of the Fermi Galactic center excess in terms of unresolved point sources. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 920–920. 3 indexed citations
16.
Bartels, Richard, Fabio Zandanel, & Shin’ichiro Ando. (2015). Inverse-Compton emission from clusters of galaxies: Predictions for ASTRO-H. Astronomy and Astrophysics. 582. A20–A20. 8 indexed citations
17.
Bartels, Richard & Shin’ichiro Ando. (2015). Boosting the annihilation boost: Tidal effects on dark matter subhalos and consistent luminosity modeling. Physical review. D. Particles, fields, gravitation, and cosmology. 92(12). 37 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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