Andreas Platis

1.6k total citations
42 papers, 892 citations indexed

About

Andreas Platis is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Andreas Platis has authored 42 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 25 papers in Environmental Engineering and 18 papers in Atmospheric Science. Recurrent topics in Andreas Platis's work include Wind and Air Flow Studies (21 papers), Wind Energy Research and Development (19 papers) and Meteorological Phenomena and Simulations (13 papers). Andreas Platis is often cited by papers focused on Wind and Air Flow Studies (21 papers), Wind Energy Research and Development (19 papers) and Meteorological Phenomena and Simulations (13 papers). Andreas Platis collaborates with scholars based in Germany, United States and Netherlands. Andreas Platis's co-authors include Jens Bange, Astrid Lampert, Stefan Emeis, Simon Siedersleben, Beatriz Cañadillas, Bughsin Djath, Thomas Neumann, Johannes Schulz‐Stellenfleth, Konrad Bärfuss and Norman Wildmann and has published in prestigious journals such as Scientific Reports, Atmospheric chemistry and physics and Sensors.

In The Last Decade

Andreas Platis

40 papers receiving 874 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Platis Germany 16 559 456 438 238 131 42 892
Astrid Lampert Germany 23 643 1.2× 502 1.1× 855 2.0× 633 2.7× 132 1.0× 72 1.4k
Konrad Bärfuss Germany 12 389 0.7× 269 0.6× 242 0.6× 106 0.4× 73 0.6× 22 531
Anna C. Fitch United States 9 479 0.9× 386 0.8× 590 1.3× 448 1.9× 98 0.7× 13 984
Javier Sanz Rodrigo Spain 17 461 0.8× 477 1.0× 493 1.1× 277 1.2× 181 1.4× 43 956
Raghavendra Krishnamurthy United States 15 239 0.4× 305 0.7× 409 0.9× 310 1.3× 65 0.5× 63 688
Rogier Floors Denmark 15 267 0.5× 333 0.7× 352 0.8× 198 0.8× 58 0.4× 34 579
H.W.J. Russchenberg Netherlands 21 256 0.5× 367 0.8× 998 2.3× 617 2.6× 26 0.2× 130 1.3k
Martin Dörenkämper Germany 14 547 1.0× 423 0.9× 341 0.8× 166 0.7× 146 1.1× 40 782
Aditya Choukulkar United States 16 236 0.4× 308 0.7× 280 0.6× 246 1.0× 64 0.5× 26 546
Ronald Calhoun United States 16 211 0.4× 330 0.7× 234 0.5× 141 0.6× 166 1.3× 34 610

Countries citing papers authored by Andreas Platis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Platis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Platis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Platis. A scholar is included among the top collaborators of Andreas Platis 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 Andreas Platis. Andreas Platis 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.
Bange, Jens, et al.. (2025). A continental approach to estimate the area required for proposed wind-power parks and their overlap with protected areas in Africa. Environmental Research Letters. 20(3). 34020–34020. 1 indexed citations
2.
Schön, Martin, et al.. (2024). OPC-Pod: A New Sensor Payload to Measure Aerosol Particles for Small Uncrewed Aircraft Systems. Journal of Atmospheric and Oceanic Technology. 41(5). 499–513. 1 indexed citations
3.
Mann, Jakob, et al.. (2023). Turbulence structures and entrainment length scales in large offshore wind farms. Wind energy science. 8(1). 125–139. 8 indexed citations
4.
5.
Schön, Martin, et al.. (2022). Fair-Weather Atmospheric Charge Measurements with a Small UAS. Journal of Atmospheric and Oceanic Technology. 39(11). 1799–1813. 2 indexed citations
6.
Schön, Martin, Irene Suomi, Barbara Altstädter, et al.. (2022). Case studies of the wind field around Ny-Ålesund, Svalbard, using unmanned aircraft. Polar Research. 6 indexed citations
7.
Lampert, Astrid, Konrad Bärfuss, Andreas Platis, et al.. (2020). In situ airborne measurements of atmospheric and sea surface parameters related to offshore wind parks in the German Bight. Earth system science data. 12(2). 935–946. 27 indexed citations
8.
Siedersleben, Simon, Andreas Platis, Julie K. Lundquist, et al.. (2020). Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1). Geoscientific model development. 13(1). 249–268. 53 indexed citations
9.
Platis, Andreas, Marie Hundhausen, Simon Siedersleben, et al.. (2020). Evaluation of a simple analytical model for offshore wind farm wake recovery by in situ data and Weather Research and Forecasting simulations. Wind Energy. 24(3). 212–228. 20 indexed citations
10.
Cañadillas, Beatriz, Richard Foreman, Volker Barth, et al.. (2020). Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models. Wind Energy. 23(5). 1249–1265. 69 indexed citations
11.
Schön, Martin, et al.. (2019). The Multi-Purpose Airborne Sensor Carrier MASC-3 for Wind and Turbulence Measurements in the Atmospheric Boundary Layer. Sensors. 19(10). 2292–2292. 34 indexed citations
12.
Siedersleben, Simon, Andreas Platis, Julie K. Lundquist, et al.. (2019). Observed and simulated turbulent kinetic energy (WRF 3.8.1) overlarge offshore wind farms. 4 indexed citations
13.
14.
Ebner, Martin, et al.. (2019). A new multicopter-based unmanned aerial system for pollen and spores collection in the atmospheric boundary layer. Atmospheric measurement techniques. 12(3). 1581–1598. 20 indexed citations
15.
Platis, Andreas, et al.. (2019). First identification and quantification of detached-tip vortices behind a wind energy converter using fixed-wing unmanned aircraft system. Wind energy science. 4(3). 451–463. 12 indexed citations
16.
Lampert, Astrid, Konrad Bärfuss, Andreas Platis, et al.. (2019). In-situ airborne measurements of atmospheric and sea surfaceparameters related to offshore wind parks in the German Bight. 7 indexed citations
17.
Altstädter, Barbara, Andreas Platis, Holger Baars, et al.. (2018). Airborne observations of newly formed boundary layer aerosol particles under cloudy conditions. Atmospheric chemistry and physics. 18(11). 8249–8264. 15 indexed citations
18.
Platis, Andreas, Simon Siedersleben, Jens Bange, et al.. (2018). First in situ evidence of wakes in the far field behind offshore wind farms. Scientific Reports. 8(1). 2163–2163. 153 indexed citations
19.
Wildmann, Norman, et al.. (2018). Reviewing Wind Measurement Approaches for Fixed-Wing Unmanned Aircraft. Atmosphere. 9(11). 422–422. 42 indexed citations
20.
Altstädter, Barbara, Andreas Platis, Birgit Wehner, et al.. (2015). ALADINA – an unmanned research aircraft for observing vertical and horizontal distributions of ultrafine particles within the atmospheric boundary layer. Atmospheric measurement techniques. 8(4). 1627–1639. 88 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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