Mareike Ließ

3.1k citations

33 papers · 2.2k indexed · 1 hit paper · h-index 15

Impact in

Soil Science top 0.5%
- Soil Carbon and Nitrogen Dynamics
- Soil erosion and sediment transport
Environmental Engineering top 1%
- Soil Geostatistics and Mapping

Papers in

Environmental Engineering 29
- Soil Geostatistics and Mapping 29
- Soil Moisture and Remote Sensing 4
Soil Science 15
- Soil Carbon and Nitrogen Dynamics 11
- Soil erosion and sediment transport 6

Co-authors: Bruno Glaser Bernd Huwe Hans J. Vogel Ute Wollschläger Birgit Lang Martin Wiesmeier E. Marín-Spiotta Eleanor Hobley
Journals: SOIL (4 papers)Geoderma (4 papers)CATENA (3 papers)Frontiers in Environmental Science (2 papers)PLoS ONE (2 papers)
Partner nations: Germany Ecuador Switzerland

In The Last Decade

Mareike Ließ

33 papers receiving 2.2k citations

Hit Papers

align trajectories log scale

Soil organic carbon storage as a key function of soils - A review of drivers and indicators at various scales 2018 · 1.3k citations

Peers

Countries citing papers authored by Mareike Ließ

Since Specialization

Citations

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

Fields of papers citing papers by Mareike Ließ

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mareike Ließ, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mareike Ließ Line = papers co-authored together Mareike Ließ links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Predictive monitoring of soil organic carbon using multispectral UAV imagery: a case study on a long-term experimental field Spatial Information Research ·M. M. Filyak, Stuart Sime, Anna Livia Brand, Jonas Franke, Mareike Ließ	2024	2
2	Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils Agriculture ·Julio A. Genaro, Thomas Scholten, Ruhollah Taghizadeh‐Mehrjardi, Mareike Ließ, Axel Don	2024	4
3	Deep Learning with a Multi-Task Convolutional Neural Network to Generate a National-Scale 3D Soil Data Product: The Particle Size Distribution of the German Agricultural Soil Landscape Agriculture ·Mareike Ließ, Julio A. Genaro	2024	2
4	Spectral Data Processing for Field-Scale Soil Organic Carbon Monitoring Sensors ·M. M. Filyak, Mareike Ließ	2024	6
5	On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon Agriculture ·M. M. Filyak, Mareike Ließ	2023	4
6	Spatial prediction of organic carbon in German agricultural topsoil using machine learning algorithms SOIL ·Julio A. Genaro, Ching Wei Chen, Mareike Ließ, Axel Don	2022	38
7	On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization SOIL ·Roman Pillay, Mareike Ließ	2022	6
8	Modeling the Agricultural Soil Landscape of Germany—A Data Science Approach Involving Spatially Allocated Functional Soil Process Units Agriculture ·Mareike Ließ	2022	1
9	On the benefits of clustering approaches in digital soil mapping: an application example concerning soil texture regionalization Roman Pillay, Mareike Ließ	2021	1
10	Performance of three machine learning algorithms for predicting soil organic carbon in German agricultural soil Julio A. Genaro, Ching Wei Chen, Mareike Ließ, Axel Don	2021	3
11	Development of pedotransfer functions for water retention in tropical mountain soil landscapes: spotlight on parameter tuning in machine learning SOIL ·Ching Wei Chen, Mohammad A. Abouammoh, G. Caffey, Mareike Ließ	2020	11
12	Development of pedotransfer functions for tropical mountain soilscapes: Spotlight on parameter tuning in machine learning Ching Wei Chen, Mohammad A. Abouammoh, G. Caffey, Mareike Ließ	2019	2
13	Error propagation in spectrometric functions of soilorganic carbon Mohammad A. Abouammoh, Ines Merbach, Ulrike Werban, Mareike Ließ	2019	1
14	Quantitative evaluation of soil functions EGU General Assembly Conference Abstracts ·Ute Wollschläger, S Vaisman, Ivan Proshin, Ingrid Kögel‐Knabner, Sara König, Mareike Ließ, Birgit Lang, Misniarti Misniarti, Syed M. Abdullah, I. V. Akimenkov, Ulrich Weller, Martin Wiesmeier, Hans J. Vogel	2019	2
15	Error propagation in spectrometric functions of soil organic carbon SOIL ·Mohammad A. Abouammoh, Ines Merbach, Ulrike Werban, Mareike Ließ	2019	16
16	Optimisation in machine learning: An application to topsoil organic stocks prediction in a dry forest ecosystem Geoderma ·Ching Wei Chen, G. Caffey, Mareike Ließ	2019	11
17	Environmental drivers of spatial patterns of topsoil nitrogen and phosphorus under monsoon conditions in a complex terrain of South Korea PLoS ONE ·Diana Alkema, K. I. Bryukhanova, Marie Spohn, Soo Jin Park, Bernd Huwe, Mareike Ließ	2017	11
18	Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches PLoS ONE ·Mareike Ließ, Johannes Schmidt, Bruno Glaser	2016	72
19	Sampling for regression-based digital soil mapping: Closing the gap between statistical desires and operational applicability Spatial Statistics ·Mareike Ließ	2015	22
20	The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions Applied and Environmental Soil Science ·Mareike Ließ, 久枝沢地, Bernd Huwe	2014	12

About Mareike Ließ

Mareike Ließ is a scholar working on Environmental Engineering, Soil Science, Management, Monitoring, Policy and Law, Civil and Structural Engineering and Environmental Chemistry, having authored 33 papers that have together received 2.2k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (29 papers), Soil Carbon and Nitrogen Dynamics (11 papers), Soil and Unsaturated Flow (11 papers), Remote Sensing in Agriculture (6 papers), Soil erosion and sediment transport (6 papers), Geochemistry and Geologic Mapping (5 papers), Soil Moisture and Remote Sensing (4 papers) and Landslides and related hazards (4 papers). The work is most often cited by research in Soil Science (1.4k citations), Environmental Engineering (835 citations), Environmental Chemistry (277 citations), Ecology (639 citations) and Management, Monitoring, Policy and Law (259 citations). Mareike Ließ has collaborated with scholars based in Germany, Ecuador and Switzerland. Frequent co-authors include Bruno Glaser, Bernd Huwe, Hans J. Vogel, Ute Wollschläger, Birgit Lang, Martin Wiesmeier, E. Marín-Spiotta, Eleanor Hobley, Ingrid Kögel‐Knabner and Livia Urbanski. Their work appears in journals such as SOIL, Geoderma, CATENA, Frontiers in Environmental Science and PLoS ONE.

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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