Michael Rennie

1.8k total citations
38 papers, 690 citations indexed

About

Michael Rennie is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, Michael Rennie has authored 38 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Atmospheric Science, 27 papers in Global and Planetary Change and 8 papers in Astronomy and Astrophysics. Recurrent topics in Michael Rennie's work include Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). Michael Rennie is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Atmospheric aerosols and clouds (20 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). Michael Rennie collaborates with scholars based in United Kingdom, Germany and Netherlands. Michael Rennie's co-authors include Lars Isaksen, Oliver Reitebuch, Thomas Kanitz, Fabian Weiler, Jos de Kloe, Carla Cardinali, Ándrás Horányi, Alexander Cress, Carlo Buontempo and Adrian Jupp and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Michael Rennie

37 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Rennie United Kingdom 14 550 471 131 113 78 38 690
Thomas Rose Germany 13 590 1.1× 478 1.0× 68 0.5× 44 0.4× 81 1.0× 28 694
F. J. Mulligan Ireland 14 488 0.9× 317 0.7× 265 2.0× 66 0.6× 49 0.6× 26 640
Fabian Weiler Germany 12 427 0.8× 458 1.0× 35 0.3× 42 0.4× 39 0.5× 19 546
W. L. Clark United States 15 592 1.1× 339 0.7× 296 2.3× 123 1.1× 100 1.3× 36 776
Luis Millán United States 19 1.1k 1.9× 902 1.9× 166 1.3× 42 0.4× 52 0.7× 66 1.2k
Richard Dworak United States 9 417 0.8× 349 0.7× 49 0.4× 34 0.3× 29 0.4× 18 489
Christian Lemmerz Germany 17 486 0.9× 613 1.3× 43 0.3× 27 0.2× 55 0.7× 41 853
Makoto Abo Japan 12 255 0.5× 221 0.5× 215 1.6× 27 0.2× 43 0.6× 52 470
Brian Magill United States 11 716 1.3× 644 1.4× 165 1.3× 21 0.2× 10 0.1× 19 859
Jacques Porteneuve France 13 492 0.9× 503 1.1× 103 0.8× 13 0.1× 38 0.5× 38 620

Countries citing papers authored by Michael Rennie

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rennie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rennie

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rennie. A scholar is included among the top collaborators of Michael Rennie 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 Michael Rennie. Michael Rennie 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.
Magnusson, Linus, Sharanya J. Majumdar, Mohamed Dahoui, et al.. (2025). The role of observations in ECMWF tropical cyclone initialisation and forecasting. Quarterly Journal of the Royal Meteorological Society. 151(768). 2 indexed citations
2.
Lux, Oliver, Michael Rennie, Jos de Kloe, & Oliver Reitebuch. (2025). Five years of Aeolus wind profiling: global coverage and data quality. elib (German Aerospace Center).
3.
Žagar, Nedjeljka, et al.. (2025). ESA's Aeolus Mission Reveals Uncertainties in Tropical Wind and Wave‐Driven Circulations. Geophysical Research Letters. 52(8). 1 indexed citations
4.
Stoffelen, Ad, et al.. (2024). The Contribution of Aeolus Wind Observations to ECMWF Sea Surface Wind Forecasts. Journal of Geophysical Research Atmospheres. 129(6). 1 indexed citations
5.
Knippertz, Peter, et al.. (2023). Impact of Aeolus wind lidar observations on the representation of the West African monsoon circulation in the ECMWF and DWD forecasting systems. Quarterly Journal of the Royal Meteorological Society. 149(752). 933–958. 2 indexed citations
6.
Marseille, Gert‐Jan, Jos de Kloe, Alain Dabas, Thomas Flament, & Michael Rennie. (2023). Aeolus Rayleigh‐channel winds in cloudy conditions. Quarterly Journal of the Royal Meteorological Society. 149(757). 3270–3289. 1 indexed citations
7.
Amiridis, Vassilis, Stavros Solomos, Ioannis Binietoglou, et al.. (2023). Inversion Techniques on Etna’s Volcanic Emissions and the Impact of Aeolus on Quantitative Dispersion Modeling. SHILAP Revista de lepidopterología. 187–187. 1 indexed citations
8.
Amiridis, Vassilis, Antonis Gkikas, Stergios Misios, et al.. (2023). Aeolus winds impact on volcanic ash early warning systems for aviation. Scientific Reports. 13(1). 7531–7531. 11 indexed citations
9.
Marseille, Gert‐Jan, Jos de Kloe, Uwe Marksteiner, et al.. (2022). NWP calibration applied to Aeolus Mie channel winds. Quarterly Journal of the Royal Meteorological Society. 148(743). 1020–1034. 11 indexed citations
10.
Knippertz, Peter, et al.. (2021). The Impact of Aeolus wind observations on the West African Monsoon. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
11.
Weiler, Fabian, Thomas Kanitz, Denny Wernham, et al.. (2021). Characterization of dark current signal measurements of the ACCDs used on board the Aeolus satellite. Atmospheric measurement techniques. 14(7). 5153–5177. 34 indexed citations
12.
Weiler, Fabian, Michael Rennie, Thomas Kanitz, et al.. (2021). Correction of wind bias for the lidar on board Aeolus using telescope temperatures. Atmospheric measurement techniques. 14(11). 7167–7185. 33 indexed citations
13.
Weißmann, Martin, et al.. (2021). Validation of Aeolus winds using radiosonde observations and numerical weather prediction model equivalents. Atmospheric measurement techniques. 14(3). 2167–2183. 55 indexed citations
14.
Watson, C. A., et al.. (2021). Critical Current Modulation in Josephson Junctions Contacted by Redundant Vias. IEEE Transactions on Applied Superconductivity. 32(1). 1–5. 2 indexed citations
15.
Weißmann, Martin, et al.. (2020). Validation of Aeolus winds using radiosonde observations and NWP model equivalents. elib (German Aerospace Center). 1 indexed citations
17.
Stoffelen, Ad, Angela Benedetti, Régis Borde, et al.. (2020). Wind Profile Satellite Observation Requirements and Capabilities. Bulletin of the American Meteorological Society. 101(11). E2005–E2021. 44 indexed citations
18.
Plougonven, Riwal, et al.. (2019). Accuracy of Balloon Trajectory Forecasts in the Lower Stratosphere. Atmosphere. 10(2). 102–102. 4 indexed citations
19.
Rennie, Michael. (2018). An assessment of the expected quality of Aeolus Level-2B wind products. SHILAP Revista de lepidopterología. 176. 2015–2015. 8 indexed citations
20.
Buontempo, Carlo, Adrian Jupp, & Michael Rennie. (2008). Operational NWP assimilation of GPS radio occultation data. Atmospheric Science Letters. 9(3). 129–133. 29 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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