Walter Randeu

1.7k total citations · 1 hit paper
38 papers, 1.3k citations indexed

About

Walter Randeu is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Walter Randeu has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Atmospheric Science, 20 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Walter Randeu's work include Precipitation Measurement and Analysis (32 papers), Soil Moisture and Remote Sensing (18 papers) and Meteorological Phenomena and Simulations (18 papers). Walter Randeu is often cited by papers focused on Precipitation Measurement and Analysis (32 papers), Soil Moisture and Remote Sensing (18 papers) and Meteorological Phenomena and Simulations (18 papers). Walter Randeu collaborates with scholars based in Austria, Indonesia and Japan. Walter Randeu's co-authors include V. N. Bringi, Michael Schoenhuber, E. Gorgucci, V. Chandrasekar, J. Hubbert, Michael Schönhuber, Merhala Thurai, Marzuki Marzuki, Toyoshi Shimomai and Hiroyuki Hashiguchi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and Journal of the Atmospheric Sciences.

In The Last Decade

Walter Randeu

38 papers receiving 1.2k citations

Hit Papers

Raindrop Size Distribution in Different Climatic Regimes ... 2003 2026 2010 2018 2003 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
Walter Randeu Austria 13 1.1k 501 493 116 70 38 1.3k
Luca Baldini Italy 22 1.3k 1.1× 545 1.1× 522 1.1× 139 1.2× 41 0.6× 113 1.4k
Jürg Joss Switzerland 11 1.1k 1.0× 439 0.9× 549 1.1× 82 0.7× 30 0.4× 18 1.2k
A. Shapiro United States 7 642 0.6× 286 0.6× 425 0.9× 114 1.0× 36 0.5× 13 781
J. Joss Switzerland 13 1.0k 0.9× 387 0.8× 553 1.1× 120 1.0× 17 0.2× 22 1.2k
Heather Lawrence United Kingdom 16 717 0.6× 431 0.9× 346 0.7× 81 0.7× 16 0.2× 33 877
Martin Löffler‐Mang Germany 8 849 0.7× 176 0.4× 474 1.0× 71 0.6× 31 0.4× 16 955
H.W.J. Russchenberg Netherlands 21 998 0.9× 367 0.7× 617 1.3× 256 2.2× 88 1.3× 130 1.3k
Daran L. Rife United States 15 789 0.7× 278 0.6× 695 1.4× 166 1.4× 126 1.8× 19 1.0k
Mariko Burgin United States 13 582 0.5× 728 1.5× 91 0.2× 220 1.9× 25 0.4× 47 867
Michael Schönhuber Austria 11 800 0.7× 255 0.5× 314 0.6× 262 2.3× 156 2.2× 67 968

Countries citing papers authored by Walter Randeu

Since Specialization
Citations

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

Fields of papers citing papers by Walter Randeu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Randeu

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Randeu. A scholar is included among the top collaborators of Walter Randeu 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 Walter Randeu. Walter Randeu 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.
Marzuki, Marzuki, Hiroyuki Hashiguchi, Toyoshi Shimomai, & Walter Randeu. (2016). CUMULATIVE DISTRIBUTIONS OF RAINFALL RATE OVER SUMATRA. Progress In Electromagnetics Research M. 49. 1–8. 22 indexed citations
2.
Schreiber, Helmut, et al.. (2013). Wide-area Multilateration in Austria - System Evaluation. 1 indexed citations
3.
Marzuki, Marzuki, Walter Randeu, Toshiaki Kozu, et al.. (2011). Raindrop axis ratios, fall velocities and size distribution over Sumatra from 2D-Video Disdrometer measurement. Atmospheric Research. 119. 23–37. 50 indexed citations
4.
Randeu, Walter, et al.. (2010). Microwave scattering from ice crystals: how much parameters can differ from equal volume spheres. Advances in geosciences. 25. 127–133. 3 indexed citations
5.
Marzuki, Marzuki, et al.. (2010). Raindrop Size Distribution Parameters of Distrometer Data With Different Bin Sizes. IEEE Transactions on Geoscience and Remote Sensing. 48(8). 3075–3080. 26 indexed citations
6.
Marzuki, Marzuki, et al.. (2010). Complex Permittivity Measurements of Rainwater in the 0.5–26.5 GHz Frequency Range. IEEE Geoscience and Remote Sensing Letters. 7(3). 487–490. 3 indexed citations
7.
Randeu, Walter, et al.. (2009). Weather radar measurements in data-driven rainfall-runoff models. EGU General Assembly Conference Abstracts. 12712. 1 indexed citations
8.
Randeu, Walter, et al.. (2007). Improving weather radar estimates of rainfall using feed-forward neural networks. Neural Networks. 20(4). 519–527. 35 indexed citations
9.
Schönhuber, Michael, et al.. (2007). One decade of imaging precipitation measurement by 2D-video-distrometer. Advances in geosciences. 10. 85–90. 100 indexed citations
10.
Randeu, Walter, et al.. (2006). Modelling Microwave Scattering by Solid Precipitation Particles. European Conference on Antennas and Propagation. 626. 310. 3 indexed citations
11.
Randeu, Walter, et al.. (2006). A neural network model for short term river flow prediction. Natural hazards and earth system sciences. 6(4). 629–635. 28 indexed citations
12.
Randeu, Walter, et al.. (2005). A neural network based method to adjust weather radar estimates of rainfall to rain gauge measurements using the vertical reflectivity profile. 1–3. 2 indexed citations
13.
Randeu, Walter, et al.. (2004). An artificial neural network based rainfall-runoff model using gridded radar data.. 2 indexed citations
14.
Randeu, Walter, et al.. (2002). Real-time measurements and analyses of precipitation micro-structure and dynamics. 78–83. 9 indexed citations
15.
Schreiber, Helmut, et al.. (2001). Avalanche dynamics measurement by pulsed Doppler radar. Annals of Glaciology. 32. 275–280. 16 indexed citations
16.
Randeu, Walter & Michael Schönhuber. (2000). Rainfall overestimates induced by radar area averaging. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 25(10-12). 965–969. 3 indexed citations
17.
Schönhuber, Michael, Walter Randeu, & J. P. V. Poiares Baptista. (2000). Application of the 2D-video-distrometer for weather radar data inversion. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 25(10-12). 1037–1042. 2 indexed citations
18.
Randeu, Walter, et al.. (2000). Ka -band Radar, Intended for Avalanche Detection and Monitoring. 1–4. 5 indexed citations
19.
Kubista, E., et al.. (1993). Quadruple-site diversity experiment in austria using 12 GHz radiometers. IEE Proceedings H Microwaves Antennas and Propagation. 140(5). 354–354. 3 indexed citations
20.
Baptista, J. P. V. Poiares, et al.. (1989). Worst-month statistics for high outage probabilities. 10–13. 3 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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