Hans Gleisner

1.9k total citations
39 papers, 1.1k citations indexed

About

Hans Gleisner is a scholar working on Astronomy and Astrophysics, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Hans Gleisner has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 12 papers in Molecular Biology and 12 papers in Atmospheric Science. Recurrent topics in Hans Gleisner's work include Ionosphere and magnetosphere dynamics (27 papers), Solar and Space Plasma Dynamics (12 papers) and Geomagnetism and Paleomagnetism Studies (12 papers). Hans Gleisner is often cited by papers focused on Ionosphere and magnetosphere dynamics (27 papers), Solar and Space Plasma Dynamics (12 papers) and Geomagnetism and Paleomagnetism Studies (12 papers). Hans Gleisner collaborates with scholars based in Denmark, United States and Sweden. Hans Gleisner's co-authors include H. Lundstedt, Peter Thejll, Peter Wintoft, Bo Christiansen, J. Watermann, Johannes K. Nielsen, I. R. Mann, M. J. Engebretson, O. Amm and V. Angelopoulos and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Hans Gleisner

38 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hans Gleisner 673 419 360 300 242 39 1.1k
D. R. Jackson 883 1.3× 1.1k 2.6× 862 2.4× 182 0.6× 171 0.7× 82 1.8k
Devendraa Siingh 714 1.1× 495 1.2× 552 1.5× 74 0.2× 253 1.0× 59 1.2k
Ana G. Elı́as 495 0.7× 193 0.5× 98 0.3× 216 0.7× 129 0.5× 72 635
Christopher J. Scott 983 1.5× 171 0.4× 109 0.3× 423 1.4× 128 0.5× 78 1.1k
Hongqiao Hu 957 1.4× 185 0.4× 113 0.3× 369 1.2× 272 1.1× 81 1.2k
K. F. Tapping 905 1.3× 254 0.6× 77 0.2× 174 0.6× 110 0.5× 29 1.0k
Luke Barnard 1.3k 2.0× 234 0.6× 141 0.4× 656 2.2× 115 0.5× 84 1.5k
Noora Partamies 1.2k 1.8× 234 0.6× 99 0.3× 516 1.7× 437 1.8× 101 1.3k
Beichen Zhang 787 1.2× 144 0.3× 79 0.2× 352 1.2× 284 1.2× 86 1.1k
О. А. Troshichev 2.7k 3.9× 390 0.9× 270 0.8× 1.6k 5.3× 753 3.1× 168 2.9k

Countries citing papers authored by Hans Gleisner

Since Specialization
Citations

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

Fields of papers citing papers by Hans Gleisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Gleisner

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Gleisner. A scholar is included among the top collaborators of Hans Gleisner 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 Hans Gleisner. Hans Gleisner 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.
Leroy, S. S., et al.. (2024). GNSS Radio Occultation Data in the AWS Cloud. Earth and Space Science. 11(2). 3 indexed citations
2.
Ladstädter, Florian, Andrea K. Steiner, & Hans Gleisner. (2023). Resolving the 21st century temperature trends of the upper troposphere–lower stratosphere with satellite observations. Scientific Reports. 13(1). 1306–1306. 17 indexed citations
3.
Leroy, S. S. & Hans Gleisner. (2022). The Stratospheric Diurnal Cycle in COSMIC GPS Radio Occultation Data: Scientific Applications. Earth and Space Science. 9(3). 1 indexed citations
4.
Nielsen, Johannes K., Hans Gleisner, Stig Syndergaard, & K. B. Lauritsen. (2022). Estimation of refractivity uncertainties and vertical error correlations in collocated radio occultations, radiosondes, and model forecasts. Atmospheric measurement techniques. 15(20). 6243–6256. 2 indexed citations
5.
Steiner, Andrea K., Florian Ladstädter, C. O. Ao, et al.. (2020). Consistency and structural uncertainty of multi-mission GPS radio occultation records. Atmospheric measurement techniques. 13(5). 2547–2575. 51 indexed citations
6.
Gleisner, Hans, K. B. Lauritsen, Johannes K. Nielsen, & Stig Syndergaard. (2020). Evaluation of the 15-year ROM SAF monthly mean GPS radio occultation climate data record. Atmospheric measurement techniques. 13(6). 3081–3098. 25 indexed citations
7.
Thejll, Peter, Aroh Barjatya, Ted von Hippel, et al.. (2018). CubEshine: a cube-sat project for earthshine observations of the Moon.. EGU General Assembly Conference Abstracts. 6119. 1 indexed citations
8.
Danzer, Julia, et al.. (2018). Comparison study of COSMIC RO dry-air climatologies based on average profile inversion. Atmospheric measurement techniques. 11(8). 4867–4882. 5 indexed citations
9.
Gleisner, Hans, Peter Thejll, Bo Christiansen, & Johannes K. Nielsen. (2015). Recent global warming hiatus dominated by low‐latitude temperature trends in surface and troposphere data. Geophysical Research Letters. 42(2). 510–517. 40 indexed citations
10.
Danzer, Julia, Hans Gleisner, & S. B. Healy. (2014). CHAMP climate data based on the inversion of monthly average bending angles. Atmospheric measurement techniques. 7(12). 4071–4079. 6 indexed citations
11.
Thejll, Peter, Chris Flynn, Hans Gleisner, et al.. (2014). The colour of the dark side of the Moon. Astronomy and Astrophysics. 563. A38–A38. 3 indexed citations
12.
Thejll, Peter, Hans Gleisner, & Chris Flynn. (2014). Influence of celestial light on lunar surface brightness determinations: Application to earthshine studies. Astronomy and Astrophysics. 573. A131–A131. 1 indexed citations
13.
Gleisner, Hans & S. B. Healy. (2013). A simplified approach for generating GNSS radio occultation refractivity climatologies. Atmospheric measurement techniques. 6(1). 121–129. 15 indexed citations
14.
Lauritsen, K. B., et al.. (2011). Processing and validation of refractivity from GRAS radio occultation data. Atmospheric measurement techniques. 4(10). 2065–2071. 9 indexed citations
15.
Weimer, D. R., C. R. Clauer, M. J. Engebretson, et al.. (2010). Statistical maps of geomagnetic perturbations as a function of the interplanetary magnetic field. Journal of Geophysical Research Atmospheres. 115(A10). 38 indexed citations
16.
Weygand, J. M., O. Amm, V. Angelopoulos, et al.. (2009). Equivalent ionospheric currents from the GIMA, Greenland, MACCS, and THEMIS ground magnetometer arrays. EGU General Assembly Conference Abstracts. 10968. 1 indexed citations
17.
Gleisner, Hans, Peter Thejll, Martin Stendel, Eigil Kaas, & B. Machenhauer. (2005). Solar signals in tropospheric re-analysis data: Comparing NCEP/NCAR and ERA40. Journal of Atmospheric and Solar-Terrestrial Physics. 67(8-9). 785–791. 33 indexed citations
18.
Gleisner, Hans & Peter Thejll. (2003). Patterns of tropospheric response to solar variability. Geophysical Research Letters. 30(13). 112 indexed citations
19.
Gleisner, Hans & H. Lundstedt. (2001). Auroral electrojet predictions with dynamic neural networks. Journal of Geophysical Research Atmospheres. 106(A11). 24541–24549. 30 indexed citations
20.
Gleisner, Hans, H. Lundstedt, & Peter Wintoft. (1996). Predicting geomagnetic storms from solar-wind data using time-delay neural networks. Annales Geophysicae. 14(7). 679–686. 75 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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