Eelco Doornbos

4.3k total citations · 2 hit papers
75 papers, 2.7k citations indexed

About

Eelco Doornbos is a scholar working on Astronomy and Astrophysics, Oceanography and Molecular Biology. According to data from OpenAlex, Eelco Doornbos has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Astronomy and Astrophysics, 43 papers in Oceanography and 22 papers in Molecular Biology. Recurrent topics in Eelco Doornbos's work include Ionosphere and magnetosphere dynamics (63 papers), Geophysics and Gravity Measurements (42 papers) and Solar and Space Plasma Dynamics (39 papers). Eelco Doornbos is often cited by papers focused on Ionosphere and magnetosphere dynamics (63 papers), Geophysics and Gravity Measurements (42 papers) and Solar and Space Plasma Dynamics (39 papers). Eelco Doornbos collaborates with scholars based in Netherlands, United States and Germany. Eelco Doornbos's co-authors include José van den IJssel, Pieter Visser, Sean Bruinsma, J. T. Emmert, D. P. Drob, J. D. Huba, J. Encarnação, J. J. Makela, M. Conde and H. Klinkrad and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

Eelco Doornbos

73 papers receiving 2.7k citations

Hit Papers

An update to the Horizontal Wind Model (HWM): The quiet t... 2015 2026 2018 2022 2015 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eelco Doornbos Netherlands 30 2.4k 973 693 657 567 75 2.7k
E. K. Sutton United States 27 2.3k 0.9× 671 0.7× 749 1.1× 357 0.5× 406 0.7× 102 2.4k
J. T. Emmert United States 37 3.8k 1.6× 781 0.8× 949 1.4× 717 1.1× 816 1.4× 88 4.1k
Xiaoli Zhang United States 27 2.4k 1.0× 452 0.5× 563 0.8× 308 0.5× 491 0.9× 56 2.6k
Claudia Stolle Germany 32 3.4k 1.4× 653 0.7× 1.7k 2.4× 798 1.2× 1.6k 2.8× 148 4.1k
H. Kil United States 34 3.7k 1.5× 580 0.6× 906 1.3× 1.4k 2.1× 1.2k 2.2× 116 3.8k
J. W. MacDougall Canada 34 3.4k 1.4× 591 0.6× 721 1.0× 1.4k 2.2× 1.3k 2.3× 137 3.5k
T. J. Fuller‐Rowell United States 37 4.7k 1.9× 571 0.6× 1.4k 2.0× 1.2k 1.8× 1.7k 3.0× 109 4.8k
M. F. Larsen United States 32 2.6k 1.1× 442 0.5× 432 0.6× 653 1.0× 650 1.1× 136 3.0k
Erhan Kudeki United States 33 3.6k 1.5× 559 0.6× 461 0.7× 1.3k 1.9× 1.2k 2.2× 114 3.8k
David Altadill Spain 25 3.1k 1.3× 524 0.5× 701 1.0× 1.6k 2.4× 1.8k 3.2× 110 3.3k

Countries citing papers authored by Eelco Doornbos

Since Specialization
Citations

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

Fields of papers citing papers by Eelco Doornbos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eelco Doornbos

This figure shows the co-authorship network connecting the top 25 collaborators of Eelco Doornbos. A scholar is included among the top collaborators of Eelco Doornbos 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 Eelco Doornbos. Eelco Doornbos 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.
Añel, Juan Antonio, Ingrid Cnossen, Juan Carlos Antuña, et al.. (2025). The Need for Better Monitoring of Climate Change in the Middle and Upper Atmosphere. AGU Advances. 6(2).
2.
Doornbos, Eelco, et al.. (2024). The 2022 Starlink Geomagnetic Storms: Global Thermospheric Response to a High‐Latitude Ionospheric Driver. Space Weather. 22(2). 3 indexed citations
3.
Zhu, Qingyu, G. Lu, Jiuhou Lei, et al.. (2023). Interhemispheric Asymmetry of the Thermospheric Neutral Density Response to the 7–9 September 2017 Geomagnetic Storms. Geophysical Research Letters. 50(11). 7 indexed citations
4.
Encarnação, J., Pieter Visser, Daniel Arnold, et al.. (2020). Description of the multi-approach gravity field models from Swarm GPS data. Earth system science data. 12(2). 1385–1417. 42 indexed citations
5.
Emmert, J. T., D. P. Drob, J. M. Picone, et al.. (2020). NRLMSIS 2.0: A Whole‐Atmosphere Empirical Model of Temperature and Neutral Species Densities. Earth and Space Science. 8(3). 221 indexed citations breakdown →
7.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2019). HL‐TWiM Empirical Model of High‐Latitude Upper Thermospheric Winds. Journal of Geophysical Research Space Physics. 124(12). 10592–10618. 15 indexed citations
9.
Encarnação, J., Pieter Visser, Daniel Arnold, et al.. (2019). Multi-approach gravity field models from Swarm GPS data. 10 indexed citations
10.
Weimer, D. R., M. G. Mlynczak, J. T. Emmert, et al.. (2018). Correlations Between the Thermosphere's Semiannual Density Variations and Infrared Emissions Measured With the SABER Instrument. Journal of Geophysical Research Space Physics. 123(10). 8850–8864. 12 indexed citations
11.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2017). Seasonal Dependence of Geomagnetic Active‐Time Northern High‐Latitude Upper Thermospheric Winds. Journal of Geophysical Research Space Physics. 123(1). 739–754. 29 indexed citations
12.
Sheng, Cheng, G. Lu, S. C. Solomon, et al.. (2017). Thermospheric recovery during the 5 April 2010 geomagnetic storm. Journal of Geophysical Research Space Physics. 122(4). 4588–4599. 29 indexed citations
13.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2017). Seasonal dependence of northern high‐latitude upper thermospheric winds: A quiet time climatological study based on ground‐based and space‐based measurements. Journal of Geophysical Research Space Physics. 122(2). 2619–2644. 31 indexed citations
14.
Lu, G., M. E. Hagan, K. Häusler, et al.. (2014). Global ionospheric and thermospheric response to the 5 April 2010 geomagnetic storm: An integrated data‐model investigation. Journal of Geophysical Research Space Physics. 119(12). 53 indexed citations
15.
Liu, Guiping, S. England, H. U. Frey, et al.. (2013). Comparison of drift velocities of nighttime equatorial plasma depletions with ambient plasma drifts and thermospheric neutral winds. Journal of Geophysical Research Space Physics. 118(11). 7360–7368. 4 indexed citations
16.
Zhou, Yunliang, Shuying Ma, Ru‐Shi Liu, H. Luehr, & Eelco Doornbos. (2013). Controlling of merging electric field and IMF magnitude on storm-time changes in thermospheric mass density. Annales Geophysicae. 31(1). 15–30. 7 indexed citations
17.
Moe, Kenneth, Mildred M. Moe, & Eelco Doornbos. (2010). Outstanding issues related to thermospheric measurements and modelling. 38. 4. 1 indexed citations
18.
Doornbos, Eelco & Remko Scharroo. (2005). Improved ERS and Envisat Precise Orbit Determination. 572. 13 indexed citations
19.
Otten, Michiel, et al.. (2004). Envisat precise orbit calibration and altimeter validation. 35. 2561. 1 indexed citations
20.
Iorio, Lorenzo & Eelco Doornbos. (2004). On the possibility of using Jason-1 in determining the Lense-Thirring effect. arXiv (Cornell University). 2 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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