Marc Zebisch

3.7k total citations
90 papers, 2.3k citations indexed

About

Marc Zebisch is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Marc Zebisch has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 24 papers in Environmental Engineering. Recurrent topics in Marc Zebisch's work include Cryospheric studies and observations (33 papers), Climate change and permafrost (22 papers) and Remote Sensing in Agriculture (15 papers). Marc Zebisch is often cited by papers focused on Cryospheric studies and observations (33 papers), Climate change and permafrost (22 papers) and Remote Sensing in Agriculture (15 papers). Marc Zebisch collaborates with scholars based in Italy, Austria and Germany. Marc Zebisch's co-authors include Claudia Notarnicola, Stefan Schneiderbauer, Marcello Petitta, Mariapina Castelli, Giacomo Bertoldi, Anke Tetzlaff, Georg Niedrist, Jochen Wagner, Giorgio Belluardo and Giustino Tonon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Marc Zebisch

86 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Zebisch Italy 30 940 850 593 526 340 90 2.3k
Yongxia Ding China 14 1.4k 1.5× 511 0.6× 493 0.8× 648 1.2× 177 0.5× 25 2.4k
Aiwen Lin China 30 1.8k 1.9× 891 1.0× 474 0.8× 686 1.3× 96 0.3× 80 2.7k
Erfu Dai China 32 2.3k 2.4× 526 0.6× 324 0.5× 818 1.6× 310 0.9× 126 3.2k
Safa Motesharrei United States 12 1.1k 1.2× 433 0.5× 514 0.9× 386 0.7× 90 0.3× 19 1.7k
Xiaobing Li China 34 1.4k 1.5× 890 1.0× 981 1.7× 756 1.4× 324 1.0× 176 3.2k
Qingting Li China 29 1.0k 1.1× 441 0.5× 678 1.1× 644 1.2× 139 0.4× 72 2.1k
Xulin Guo Canada 29 1.7k 1.8× 645 0.8× 1.3k 2.2× 1.8k 3.4× 296 0.9× 134 3.5k
So Kazama Japan 26 968 1.0× 441 0.5× 467 0.8× 325 0.6× 301 0.9× 230 2.4k
Rezaul Mahmood United States 32 2.9k 3.1× 1.6k 1.9× 1.3k 2.2× 536 1.0× 164 0.5× 108 4.2k
Deepak R. Mishra United States 37 1.2k 1.2× 409 0.5× 700 1.2× 1.6k 3.1× 211 0.6× 137 4.0k

Countries citing papers authored by Marc Zebisch

Since Specialization
Citations

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

Fields of papers citing papers by Marc Zebisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Zebisch

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Zebisch. A scholar is included among the top collaborators of Marc Zebisch 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 Marc Zebisch. Marc Zebisch 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.
Crespi, Alice, et al.. (2025). climdex-kit: An open software for climate index calculation, sharing and analysis towards tailored climate services. Environmental Modelling & Software. 190. 106442–106442. 1 indexed citations
2.
Voss, Maike, et al.. (2025). Integrated risk analyses as part of national climate risk assessments: lessons learnt from the climate risk assessment of Germany. International Journal of Climate Change Strategies and Management. 17(1). 70–90. 1 indexed citations
3.
Crespi, Alice, Simon Rauch, P. Corradini, et al.. (2024). Climate change and human health in Alpine environments: an interdisciplinary impact chain approach understanding today's risks to address tomorrow's challenges. BMJ Global Health. 8(Suppl 3). e014431–e014431. 3 indexed citations
4.
Sperotto, Anna, et al.. (2024). Looking at the Water-Energy-Food nexus through the lens of Ecosystem Services: a new perspective. Environmental Research Letters. 19(12). 121003–121003. 1 indexed citations
5.
6.
Terzi, Stefano, et al.. (2023). Assessing agriculture's vulnerability to drought in European pre-Alpine regions. Natural hazards and earth system sciences. 23(1). 45–64. 10 indexed citations
7.
Kofler, Christian, Volkmar Mair, Stephan Gruber, et al.. (2021). When do rock glacier fronts fail? Insights from two case studies in South Tyrol (Italian Alps). Earth Surface Processes and Landforms. 46(7). 1311–1327. 22 indexed citations
8.
Thornton, James, Elisa Palazzi, Nick Pepin, et al.. (2021). Toward a definition of Essential Mountain Climate Variables. One Earth. 4(6). 805–827. 41 indexed citations
9.
Steger, Stefan, Volkmar Mair, Christian Kofler, Stefan Schneiderbauer, & Marc Zebisch. (2020). The necessity to consider the landslide data origin in statistically-based spatial predictive modelling – A landslide intervention index for South Tyrol (Italy). 3 indexed citations
10.
Schneiderbauer, Stefan, et al.. (2020). Spatial-Explicit Climate Change Vulnerability Assessments Based on Impact Chains. Findings from a Case Study in Burundi. Sustainability. 12(16). 6354–6354. 31 indexed citations
11.
Gregorio, Ludovica De, Mattia Callegari, Ulrich Strasser, et al.. (2019). Improving SWE Estimation by Fusion of Snow Models with Topographic and Remotely Sensed Data. Remote Sensing. 11(17). 2033–2033. 12 indexed citations
12.
Marín, Carlo, Giacomo Bertoldi, Mattia Callegari, et al.. (2019). The Relationship Between the Multi-Temporal Sentinel-1 Backscattering and the Snow Melting Dynamics in Alpine Regions. View. 2 indexed citations
13.
Kofler, Christian, Stefan Steger, Volkmar Mair, et al.. (2019). An inventory-driven rock glacier status model (intact vs. relict) for South Tyrol, Eastern Italian Alps. Geomorphology. 350. 106887–106887. 20 indexed citations
14.
Torresani, Michele, Duccio Rocchini, Marc Zebisch, Ruth Sonnenschein, & Giustino Tonon. (2018). Testing the spectral variation hypothesis by using the RAO-Q index to estimate forest biodiversity: Effect of spatial resolution. View. 1183–1186. 13 indexed citations
15.
Hagenlocher, Michael, et al.. (2018). Climate Risk Assesment for Ecosystem-based Adaptation: A guidebook for planners and practitioners. UNU Collections (United Nations University). 2 indexed citations
16.
Zebisch, Marc, Roberto Vaccaro, Georg Niedrist, et al.. (2018). Rapporto sul clima Alto Adige 2018. View. 4 indexed citations
17.
Tomelleri, Enrico, et al.. (2015). UAV based tree height estimation in apple orchards: potential of multiple approaches. EGU General Assembly Conference Abstracts. 7082. 3 indexed citations
18.
Wagner, Wolfgang, et al.. (2014). Boosting Scientific Exploitation of Sentinel Data: The Earth Observation Data Centre for Water Resources Monitoring. EGUGA. 13077. 1 indexed citations
19.
Rastner, Philipp, Thomas Schellenberger, Stefano Della Chiesa, et al.. (2009). Snow Cover Monitoring and Modelling in the Alps Using Multi Temporal Modis Data. 214–218. 8 indexed citations
20.
Burkart, Michael R., Sibylle Itzerott, & Marc Zebisch. (2000). Classification of vegetation by chronosequences of NDVI from remote sensing and field data : the example of Uvs Nuur basin. publish.UP (University of Potsdam). 5 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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