Gian-Duri Lieberherr

690 total citations
19 papers, 404 citations indexed

About

Gian-Duri Lieberherr is a scholar working on Immunology and Allergy, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Gian-Duri Lieberherr has authored 19 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology and Allergy, 7 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Gian-Duri Lieberherr's work include Allergic Rhinitis and Sensitization (7 papers), Hydrology and Watershed Management Studies (4 papers) and Species Distribution and Climate Change (3 papers). Gian-Duri Lieberherr is often cited by papers focused on Allergic Rhinitis and Sensitization (7 papers), Hydrology and Watershed Management Studies (4 papers) and Species Distribution and Climate Change (3 papers). Gian-Duri Lieberherr collaborates with scholars based in Switzerland, Ireland and Serbia. Gian-Duri Lieberherr's co-authors include Stefan Wunderle, Fiona Tummon, Bernard Clot, Benoît Crouzy, Thomas Konzelmann, Bertrand Calpini, Konstantina Vasilatou, Christine Groot Zwaaftink, Michael Lehning and M. B. Parlange and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing and Boundary-Layer Meteorology.

In The Last Decade

Gian-Duri Lieberherr

18 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gian-Duri Lieberherr Switzerland 9 124 103 95 92 83 19 404
Lidija Srnec Croatia 11 90 0.7× 77 0.7× 122 1.3× 46 0.5× 69 0.8× 26 354
David Rivas Mexico 15 162 1.3× 239 2.3× 25 0.3× 43 0.5× 55 0.7× 42 715
Lars G. Franzén Sweden 12 387 3.1× 123 1.2× 47 0.5× 36 0.4× 57 0.7× 19 579
Tanja Stanelle Germany 10 700 5.6× 707 6.9× 15 0.2× 124 1.3× 84 1.0× 17 917
Sabine Matthias‐Maser Germany 13 686 5.5× 353 3.4× 81 0.9× 126 1.4× 548 6.6× 23 924
J. L. Palau Spain 8 210 1.7× 243 2.4× 15 0.2× 70 0.8× 58 0.7× 15 358
Harry Butler Australia 11 149 1.2× 165 1.6× 2 0.0× 53 0.6× 42 0.5× 30 445
Catherine A. Fox Canada 9 51 0.4× 17 0.2× 18 0.2× 32 0.3× 22 0.3× 19 255
Laimdota Kalniņa Latvia 10 198 1.6× 19 0.2× 59 0.6× 2 0.0× 11 0.1× 33 357
Tiina Markkanen Finland 15 622 5.0× 696 6.8× 2 0.0× 134 1.5× 165 2.0× 36 1.0k

Countries citing papers authored by Gian-Duri Lieberherr

Since Specialization
Citations

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

Fields of papers citing papers by Gian-Duri Lieberherr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian-Duri Lieberherr. 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 Gian-Duri Lieberherr. The network helps show where Gian-Duri Lieberherr may publish in the future.

Co-authorship network of co-authors of Gian-Duri Lieberherr

This figure shows the co-authorship network connecting the top 25 collaborators of Gian-Duri Lieberherr. A scholar is included among the top collaborators of Gian-Duri Lieberherr 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 Gian-Duri Lieberherr. Gian-Duri Lieberherr 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.
2.
Crouzy, Benoît, et al.. (2025). Operational pollen classification using digital holography and fluorescence. Aerobiologia. 41(4). 841–846. 1 indexed citations
3.
Berne, Alexis, et al.. (2025). Pollen holographic images and light-induced fluorescence measurements at the species level. Scientific Data. 12(1). 786–786. 1 indexed citations
4.
Berne, Alexis, et al.. (2024). Real-time pollen identification using holographic imaging and fluorescence measurements. Atmospheric measurement techniques. 17(2). 441–451. 9 indexed citations
5.
Berne, Alexis, et al.. (2023). Automatic real-time monitoring of fungal spores: the case of Alternaria spp.. Aerobiologia. 40(1). 123–127. 9 indexed citations
6.
Sofiev, Mikhail, Jeroen Buters, Fiona Tummon, et al.. (2023). Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields. The Science of The Total Environment. 900. 165800–165800. 5 indexed citations
7.
Crouzy, Benoît, Gian-Duri Lieberherr, Fiona Tummon, & Bernard Clot. (2022). False positives: handling them operationally for automatic pollen monitoring. Aerobiologia. 38(3). 429–432. 7 indexed citations
8.
Lieberherr, Gian-Duri, Bertrand Calpini, Bernard Clot, et al.. (2021). Assessment of real-time bioaerosol particle counters using reference chamber experiments. Atmospheric measurement techniques. 14(12). 7693–7706. 28 indexed citations
9.
Lieberherr, Gian-Duri, Bertrand Calpini, Bernard Clot, et al.. (2021). Assessment of Real-time Bioaerosol Particle Counters using Reference Chamber Experiments. 1 indexed citations
10.
Tummon, Fiona, Bernard Clot, Benoît Crouzy, et al.. (2021). A first evaluation of multiple automatic pollen monitors run in parallel. Aerobiologia. 40(1). 93–108. 21 indexed citations
11.
Chu, Philip, Jonas Šukys, Gian-Duri Lieberherr, et al.. (2020). Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4. Geoscientific model development. 13(3). 1267–1284. 35 indexed citations
12.
Calpini, Bertrand, Bernard Clot, Benoît Crouzy, et al.. (2020). Real-time pollen monitoring using digital holography. Atmospheric measurement techniques. 13(3). 1539–1550. 97 indexed citations
13.
Chu, Philip, Jonas Šukys, Gian-Duri Lieberherr, et al.. (2019). Data assimilation of in-situ and satellite remote sensing data to 3D hydrodynamic lake models. 4 indexed citations
14.
Lieberherr, Gian-Duri & Stefan Wunderle. (2018). Lake Surface Water Temperature Derived from 35 Years of AVHRR Sensor Data for European Lakes. Remote Sensing. 10(7). 990–990. 51 indexed citations
15.
Lieberherr, Gian-Duri, Michael Riffler, & Stefan Wunderle. (2017). Performance Assessment of Tailored Split-Window Coefficients for the Retrieval of Lake Surface Water Temperature from AVHRR Satellite Data. Remote Sensing. 9(12). 1334–1334. 5 indexed citations
16.
Andres, Norina, et al.. (2016). From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system. Meteorological Applications. 23(3). 448–461. 7 indexed citations
17.
Lieberherr, Gian-Duri, et al.. (2015). Lake surface water temperatures of European Alpine lakes (1989–2013) based on the Advanced Very High Resolution Radiometer (AVHRR) 1 km data set. Earth system science data. 7(1). 1–17. 64 indexed citations
18.
Zwaaftink, Christine Groot, et al.. (2014). Modelling Small-Scale Drifting Snow with a Lagrangian Stochastic Model Based on Large-Eddy Simulations. Boundary-Layer Meteorology. 153(1). 117–139. 58 indexed citations
19.
Lieberherr, Gian-Duri. (2010). Modeling snow drift in the turbulent boundary layer. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 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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