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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The libRadtran software package for radiative transfer calculations (version 2.0.1)

2016 501 citations Claudia Emde, Arve Kylling et al. Geoscientific model development profile →

Peers

Ulrich Hamann

GPC

AS

AI

EE

ECOLO

Bettina Richter Switzerland

Andi Walther United States

A. Feijt Netherlands

Luca Bugliaro Germany

Hartwig Deneke Germany

Hironobu Iwabuchi Japan

G. Wind United States

Sergio Rota Germany

Tobias Zinner Germany

Alain Ratier Germany

Bettina Richter Switzerland

Ulrich Hamann

450 ×0.8

GPC

463 ×0.9

AS

102 ×0.8

AI

78 ×0.8

EE

73 ×0.9

ECOLO

Citations per year, relative to Ulrich Hamann Ulrich Hamann (= 1×) peers Bettina Richter

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

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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.

Gabella, Marco, et al.. (2017). Measurement of Precipitation in the Alps Using Dual-Polarization C-Band Ground-Based Radars, the GPM Spaceborne Ku-Band Radar, and Rain Gauges. Remote Sensing. 9(11). 1147–1147. 40 indexed citations

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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