Ulrich Hamann

1.5k total citations · 1 hit paper
19 papers, 748 citations indexed

About

Ulrich Hamann is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Ulrich Hamann has authored 19 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 5 papers in Artificial Intelligence. Recurrent topics in Ulrich Hamann's work include Meteorological Phenomena and Simulations (12 papers), Atmospheric aerosols and clouds (7 papers) and Fire effects on ecosystems (6 papers). Ulrich Hamann is often cited by papers focused on Meteorological Phenomena and Simulations (12 papers), Atmospheric aerosols and clouds (7 papers) and Fire effects on ecosystems (6 papers). Ulrich Hamann collaborates with scholars based in Switzerland, Germany and United States. Ulrich Hamann's co-authors include Claudia Emde, Bernhard Mayer, Bettina Richter, Arve Kylling, Josef Gasteiger, Luca Bugliaro, T. E. Dowling, Jonas Irgens Kylling, Urs Germann and Jussi Leinonen and has published in prestigious journals such as Geophysical Research Letters, Atmospheric Environment and Bulletin of the American Meteorological Society.

In The Last Decade

Ulrich Hamann

19 papers receiving 722 citations

Hit Papers

The libRadtran software package for radiative transfer ca... 2016 2026 2019 2022 2016 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
Ulrich Hamann Switzerland 10 534 503 128 94 77 19 748
Bettina Richter Switzerland 10 450 0.8× 463 0.9× 102 0.8× 78 0.8× 73 0.9× 16 709
Andi Walther United States 12 825 1.5× 590 1.2× 96 0.8× 88 0.9× 93 1.2× 27 958
A. Feijt Netherlands 14 510 1.0× 455 0.9× 185 1.4× 65 0.7× 38 0.5× 27 648
Luca Bugliaro Germany 16 924 1.7× 724 1.4× 196 1.5× 111 1.2× 81 1.1× 54 1.2k
Hartwig Deneke Germany 18 705 1.3× 599 1.2× 224 1.8× 55 0.6× 42 0.5× 56 829
Hironobu Iwabuchi Japan 21 1.1k 2.0× 859 1.7× 159 1.2× 174 1.9× 186 2.4× 70 1.3k
G. Wind United States 15 1.0k 1.9× 931 1.9× 107 0.8× 46 0.5× 69 0.9× 37 1.1k
Sergio Rota Germany 6 918 1.7× 866 1.7× 156 1.2× 187 2.0× 80 1.0× 8 1.2k
Tobias Zinner Germany 15 522 1.0× 476 0.9× 81 0.6× 53 0.6× 42 0.5× 40 623
Alain Ratier Germany 6 919 1.7× 874 1.7× 156 1.2× 184 2.0× 78 1.0× 10 1.2k

Countries citing papers authored by Ulrich Hamann

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Hamann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Hamann

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Hamann. A scholar is included among the top collaborators of Ulrich Hamann 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 Ulrich Hamann. Ulrich Hamann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Leinonen, Jussi, et al.. (2024). Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning. Natural hazards and earth system sciences. 24(1). 133–144. 4 indexed citations
2.
Bugliaro, Luca, et al.. (2024). HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution. Atmospheric measurement techniques. 17(20). 6025–6046. 5 indexed citations
3.
Leinonen, Jussi, Ulrich Hamann, Ioannis V. Sideris, & Urs Germann. (2023). Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model. Geophysical Research Letters. 50(8). 24 indexed citations
4.
Leinonen, Jussi, Ulrich Hamann, Urs Germann, & John R. Mecikalski. (2022). Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance. Natural hazards and earth system sciences. 22(2). 577–597. 23 indexed citations
5.
Leinonen, Jussi, Ulrich Hamann, & Urs Germann. (2022). Seamless Lightning Nowcasting with Recurrent-Convolutional Deep Learning. 1(4). 15 indexed citations
6.
Leinonen, Jussi, Ulrich Hamann, Urs Germann, & John R. Mecikalski. (2021). Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance. 9 indexed citations
7.
Hamann, Ulrich, Lea Beusch, Loris Foresti, et al.. (2019). Nowcasting of thunderstorm severity with Machine Learning in the Alpine Region. Arcimis (State Meteorological Agency). 2 indexed citations
8.
Beusch, Lea, Loris Foresti, Marco Gabella, & Ulrich Hamann. (2018). Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks. Remote Sensing. 10(6). 939–939. 29 indexed citations
9.
Dybbroe, Adam, et al.. (2018). PyTroll: An Open-Source, Community-Driven Python Framework to Process Earth Observation Satellite Data. Bulletin of the American Meteorological Society. 99(7). 1329–1336. 32 indexed citations
10.
Romano, Salvatore, P. Burlizzi, S. Kinne, et al.. (2018). Radiative impact of Etna volcanic aerosols over south eastern Italy on 3 December 2015. Atmospheric Environment. 182. 155–170. 7 indexed citations
11.
12.
Emde, Claudia, Arve Kylling, Bernhard Mayer, et al.. (2016). The libRadtran software package for radiative transfer calculations (version 2.0.1). Geoscientific model development. 9(5). 1647–1672. 501 indexed citations breakdown →
13.
Roebeling, Rob, Bryan A. Baum, Ralf Bennartz, et al.. (2014). Summary of the Fourth Cloud Retrieval Evaluation Workshop. Bulletin of the American Meteorological Society. 96(4). ES71–ES74. 5 indexed citations
14.
Roebeling, Rob, Bryan A. Baum, Ralf Bennartz, et al.. (2013). Outcome of the third cloud retrieval evaluation workshop. AIP conference proceedings. 416–419. 4 indexed citations
15.
Hamann, Ulrich, et al.. (2013). Inter-comparison of cloud detection and cloud top height retrievals using the CREW database. AIP conference proceedings. 460–463. 1 indexed citations
16.
Roebeling, Rob, Bryan A. Baum, Ralf Bennartz, et al.. (2012). Evaluating and Improving Cloud Parameter Retrievals. Bulletin of the American Meteorological Society. 94(4). ES41–ES44. 12 indexed citations
17.
Schumann, U., Bernhard Mayer, Ulrich Hamann, & Kaspar Graf. (2010). Radiative heating in contrail cirrus. elib (German Aerospace Center). 1501. 1 indexed citations
18.
Mayer, Bernhard, Arve Kylling, Claudia Emde, et al.. (2010). libRadtran user's guide. 25 indexed citations
19.
Ludaescher, Bertram, Ulrich Hamann, & Georg Lausen. (1996). A Logical Framework for Active Rules. 39(13). 0–111044. 9 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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