Zahn Münch

1.2k total citations
31 papers, 878 citations indexed

About

Zahn Münch is a scholar working on Global and Planetary Change, Ecology and Infectious Diseases. According to data from OpenAlex, Zahn Münch has authored 31 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 13 papers in Ecology and 6 papers in Infectious Diseases. Recurrent topics in Zahn Münch's work include Remote Sensing in Agriculture (11 papers), Land Use and Ecosystem Services (9 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Zahn Münch is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Land Use and Ecosystem Services (9 papers) and Plant Water Relations and Carbon Dynamics (8 papers). Zahn Münch collaborates with scholars based in South Africa, United Kingdom and Netherlands. Zahn Münch's co-authors include Lesley Gibson, Nulda Beyers, Anthony R. Palmer, Gian van der Spuy, Paul D. van Helden, Robin M. Warren, Sukhmani Mantel, Madalene Richardson, Suzanne Verver and Marcel A. Behr and has published in prestigious journals such as The Lancet, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Zahn Münch

30 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zahn Münch South Africa 13 404 343 269 156 138 31 878
Helen Watson United Kingdom 16 144 0.4× 580 1.7× 89 0.3× 71 0.5× 135 1.0× 33 1.2k
Kevin Barrett United States 16 96 0.2× 91 0.3× 180 0.7× 47 0.3× 192 1.4× 36 1.0k
Sheila Greene United States 21 77 0.2× 661 1.9× 145 0.5× 76 0.5× 170 1.2× 31 1.4k
Yibo Ding China 27 155 0.4× 172 0.5× 1.2k 4.5× 49 0.3× 469 3.4× 95 2.4k
Yi Hu China 18 72 0.2× 100 0.3× 314 1.2× 29 0.2× 70 0.5× 62 1.3k
Christopher J. Anderson United States 21 114 0.3× 144 0.4× 449 1.7× 142 0.9× 41 0.3× 52 1.3k
Christopher Opio Uganda 13 67 0.2× 266 0.8× 187 0.7× 86 0.6× 33 0.2× 45 775
William R. Sutton United States 13 111 0.3× 100 0.3× 102 0.4× 76 0.5× 23 0.2× 39 606
Carlos Antunes Brazil 26 269 0.7× 567 1.7× 86 0.3× 58 0.4× 11 0.1× 95 1.9k

Countries citing papers authored by Zahn Münch

Since Specialization
Citations

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

Fields of papers citing papers by Zahn Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahn Münch

This figure shows the co-authorship network connecting the top 25 collaborators of Zahn Münch. A scholar is included among the top collaborators of Zahn Münch 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 Zahn Münch. Zahn Münch 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.
Münch, Zahn, et al.. (2025). Development and application of a hybrid terrain–multispectral image model of floodplain hydroperiod. Wetlands Ecology and Management. 33(4).
2.
Strever, A.E., et al.. (2024). Scoping the Field: Recent Advances in Optical Remote Sensing for Precision Viticulture. ISPRS International Journal of Geo-Information. 13(11). 385–385. 2 indexed citations
3.
Watson, Andrew, et al.. (2024). Is groundwater running out in the Western Cape, South Africa? Evaluating GRACE data to assess groundwater storage during droughts. Journal of Hydrology Regional Studies. 52. 101699–101699. 9 indexed citations
4.
Münch, Zahn, et al.. (2021). Fractional vegetation cover estimation in southern African rangelands using spectral mixture analysis and Google Earth Engine. Computers and Electronics in Agriculture. 182. 105980–105980. 32 indexed citations
5.
Mantel, Sukhmani, et al.. (2021). The effects ofAcacia mearnsii(black wattle) on soil chemistry and grass biomass production in a South African semi-arid rangeland: implications for rangeland rehabilitation. African Journal of Range and Forage Science. 38(4). 270–280. 6 indexed citations
6.
Münch, Zahn, Lesley Gibson, & Anthony R. Palmer. (2019). Monitoring Effects of Land Cover Change on Biophysical Drivers in Rangelands Using Albedo. Land. 8(2). 33–33. 20 indexed citations
7.
Gibson, Lesley, Zahn Münch, Anthony R. Palmer, & Sukhmani Mantel. (2018). Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management. Heliyon. 4(7). e00693–e00693. 77 indexed citations
8.
Mantel, Sukhmani, et al.. (2018). Estimating evapotranspiration in semi-arid rangelands: connecting reference to actual evapotranspiration and the role of soil evaporation. African Journal of Range and Forage Science. 36(1). 17–25. 2 indexed citations
9.
10.
Münch, Zahn, et al.. (2017). Characterizing Degradation Gradients through Land Cover Change Analysis in Rural Eastern Cape, South Africa. Geosciences. 7(1). 7–7. 13 indexed citations
11.
Klerk, Helen M. de, et al.. (2016). Using remote sensing in support of environmental management: A framework for selecting products, algorithms and methods. Journal of Environmental Management. 182. 564–573. 7 indexed citations
12.
Münch, Zahn, et al.. (2014). Spatial Variation in School Performance, a Local Analysis of Socio-economic Factors in Cape Town. SUNScholar (Stellenbosch University). 3(1). 78–94. 9 indexed citations
13.
Münch, Zahn, et al.. (2013). Multi-temporal remote sensing land-cover change detection for biodiversity assessment in the Berg River catchment. SUNScholar (Stellenbosch University). 2(3). 189–205. 4 indexed citations
14.
Münch, Zahn, et al.. (2013). Satellite earth observation as a tool to conceptualize hydrogeological fluxes in the Sandveld, South Africa. Hydrogeology Journal. 21(5). 1053–1070. 24 indexed citations
15.
Gibson, Lesley, Zahn Münch, & Jeanine Engelbrecht. (2011). Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa. Hydrology and earth system sciences. 15(1). 295–310. 54 indexed citations
16.
17.
Archer, Emma, et al.. (2009). Climate change, groundwater and intensive commercial farming in the semi-arid northern Sandveld, South Africa. Journal of Integrative Environmental Sciences. 6(2). 139–155. 20 indexed citations
18.
Münch, Zahn, et al.. (2006). Remote sensing and GIS based determination of groundwater dependent ecosystems in the Western Cape, South Africa. Hydrogeology Journal. 15(1). 19–28. 75 indexed citations
19.
Verver, Suzanne, Robin M. Warren, Zahn Münch, et al.. (2004). Proportion of tuberculosis transmission that takes place in households in a high-incidence area. The Lancet. 363(9404). 212–214. 221 indexed citations
20.
Münch, Zahn, et al.. (2003). Tuberculosis transmission patterns in a high-incidence area: a spatial analysis.. PubMed. 7(3). 271–7. 136 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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