Michael Schultz

1.2k total citations
34 papers, 806 citations indexed

About

Michael Schultz is a scholar working on Global and Planetary Change, Ecology and Media Technology. According to data from OpenAlex, Michael Schultz has authored 34 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 6 papers in Ecology and 6 papers in Media Technology. Recurrent topics in Michael Schultz's work include Land Use and Ecosystem Services (8 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Michael Schultz is often cited by papers focused on Land Use and Ecosystem Services (8 papers), Remote Sensing in Agriculture (6 papers) and Remote Sensing and LiDAR Applications (6 papers). Michael Schultz collaborates with scholars based in Germany, Netherlands and United Kingdom. Michael Schultz's co-authors include Sarah Carter, Neil Fligstein, Alexander Zipf, Martin Herold, Valerio Avitabile, J.G.P.W. Clevers, Jan Verbesselt, Michael Auer, Chris Bradley and Adrian Stănică and has published in prestigious journals such as Nature Communications, American Sociological Review and Scientific Reports.

In The Last Decade

Michael Schultz

31 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Schultz Germany 14 297 245 149 114 101 34 806
Chaoqing Yu China 21 461 1.6× 284 1.2× 189 1.3× 134 1.2× 28 0.3× 47 1.2k
Michael P. Strager United States 21 424 1.4× 569 2.3× 214 1.4× 73 0.6× 125 1.2× 69 1.3k
Juan Carlos Laso Bayas Austria 15 289 1.0× 278 1.1× 130 0.9× 83 0.7× 76 0.8× 32 688
Berit Balfors Sweden 21 565 1.9× 394 1.6× 174 1.2× 29 0.3× 22 0.2× 69 1.7k
Olha Danylo Austria 14 423 1.4× 197 0.8× 221 1.5× 139 1.2× 66 0.7× 22 780
Yanhua Zhuang China 20 298 1.0× 171 0.7× 213 1.4× 67 0.6× 13 0.1× 56 1.3k
Walter Musakwa South Africa 17 401 1.4× 153 0.6× 94 0.6× 79 0.7× 46 0.5× 75 961
Shougeng Hu China 25 909 3.1× 219 0.9× 265 1.8× 174 1.5× 68 0.7× 66 1.6k
Inge Uljee Belgium 13 773 2.6× 132 0.5× 118 0.8× 170 1.5× 36 0.4× 35 1.0k
Carol Jacobson Australia 12 593 2.0× 253 1.0× 482 3.2× 98 0.9× 32 0.3× 16 1.2k

Countries citing papers authored by Michael Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schultz. A scholar is included among the top collaborators of Michael Schultz 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 Michael Schultz. Michael Schultz 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.
2.
Schultz, Michael, et al.. (2025). Spatial Dynamics and Drivers of Urban Growth in Thua Thien Hue Province, Vietnam: Insights for Urban Sustainability in the Global South. ISPRS International Journal of Geo-Information. 14(2). 44–44. 2 indexed citations
3.
Hochschild, Volker, et al.. (2024). BIPE: A Bi-Layer Predictive Ensemble Framework for Forest Fire Susceptibility Mapping in Germany. Remote Sensing. 17(1). 7–7. 1 indexed citations
4.
Braun, Andreas, et al.. (2024). Urban Morphologic Structures Retrieved by Satellite Imagery Correlate With Socioeconomic Household Data—Insights From the City of Kigali, Rwanda. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 17846–17859.
5.
Schultz, Michael, et al.. (2023). Private Vehicles Greenhouse Gas Emission Estimation at Street Level for Berlin Based on Open Data. ISPRS International Journal of Geo-Information. 12(4). 138–138. 5 indexed citations
6.
Langer, Moritz, Thomas Schneider von Deimling, Sebastian Westermann, et al.. (2023). Thawing permafrost poses environmental threat to thousands of sites with legacy industrial contamination. Nature Communications. 14(1). 1721–1721. 45 indexed citations
7.
Schultz, Michael, et al.. (2023). Carbon fluxes related to land use and land cover change in Baden-Württemberg. Environmental Monitoring and Assessment. 195(5). 616–616. 3 indexed citations
8.
9.
Foody, Giles M., Gavin Long, Michael Schultz, & Ana‐Maria Olteanu‐Raimond. (2022). Assuring the quality of VGI on land use and land cover: experiences and learnings from the LandSense project. Geo-spatial Information Science. 27(1). 16–37. 8 indexed citations
10.
Li, Hao, et al.. (2022). Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. International Journal of Applied Earth Observation and Geoinformation. 110. 102804–102804. 24 indexed citations
11.
Pojar, Iulian, Adrian Stănică, Friederike Stock, et al.. (2021). Sedimentary microplastic concentrations from the Romanian Danube River to the Black Sea. Scientific Reports. 11(1). 2000–2000. 74 indexed citations
12.
Li, Hao, et al.. (2020). A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote Sensing. 12(12). 2067–2067. 25 indexed citations
13.
Olteanu‐Raimond, Ana‐Maria, Linda See, Michael Schultz, et al.. (2020). Use of Automated Change Detection and VGI Sources for Identifying and Validating Urban Land Use Change. Remote Sensing. 12(7). 1186–1186. 16 indexed citations
14.
Schultz, Michael, et al.. (2018). Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor. Remote Sensing. 10(11). 1850–1850. 29 indexed citations
15.
Bradley, Chris, Michael J. Bowes, Jos Brils, et al.. (2017). Advancing integrated research on European river–sea systems: the DANUBIUS-RI project. International Journal of Water Resources Development. 34(6). 888–899. 5 indexed citations
16.
Auer, Michael, et al.. (2017). Einsatz von OpenStreetMap-Daten zur Erstellung von Landnutzungsprodukten am Beispiel von OSM Landuse Landcover.. 3. 79–87. 1 indexed citations
17.
Adams, Stephen B., Dustin Chambers, & Michael Schultz. (2017). A moving target: The geographic evolution of Silicon Valley, 1953–1990. Business History. 60(6). 859–883. 6 indexed citations
18.
Avitabile, Valerio, Michael Schultz, Nadine Herold, et al.. (2016). Carbon emissions from land cover change in Central Vietnam. Carbon Management. 7(5-6). 333–346. 22 indexed citations
19.
Schultz, Michael. (1986). Economic Relations Between the Batua and Baoto of Bibelo Village, Bikoro Zone, Republic of Zaire: A Preliminary Report on New Fieldwork. 7(2). 2 indexed citations
20.
Schultz, Michael, et al.. (1983). An investment in health: children's summer camps in the Winnipeg region.. 10(3). 51–56. 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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