Maria Knadel

2.8k total citations
55 papers, 1.2k citations indexed

About

Maria Knadel is a scholar working on Environmental Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Maria Knadel has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Environmental Engineering, 28 papers in Artificial Intelligence and 13 papers in Mechanical Engineering. Recurrent topics in Maria Knadel's work include Soil Geostatistics and Mapping (44 papers), Geochemistry and Geologic Mapping (28 papers) and Mineral Processing and Grinding (13 papers). Maria Knadel is often cited by papers focused on Soil Geostatistics and Mapping (44 papers), Geochemistry and Geologic Mapping (28 papers) and Mineral Processing and Grinding (13 papers). Maria Knadel collaborates with scholars based in Denmark, United States and France. Maria Knadel's co-authors include Mogens Humlekrog Greve, Per Møldrup, Lis Wollesen de Jonge, Anton Thomsen, Yi Peng, Cecilie Hermansen, Fan Deng, Emmanuel Arthur, Kabindra Adhikari and Sheela Katuwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Maria Knadel

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Knadel Denmark 22 755 423 260 211 209 55 1.2k
Radim Vašát Czechia 22 852 1.1× 709 1.7× 342 1.3× 247 1.2× 302 1.4× 48 1.4k
Sharon O’Rourke Ireland 13 437 0.6× 293 0.7× 148 0.6× 206 1.0× 284 1.4× 22 874
Ruiying Zhao China 14 591 0.8× 259 0.6× 78 0.3× 303 1.4× 232 1.1× 30 977
Alexandre ten Caten Brazil 15 638 0.8× 357 0.8× 225 0.9× 248 1.2× 229 1.1× 41 919
Gustavo M. Vasques Brazil 16 1.0k 1.3× 610 1.4× 301 1.2× 270 1.3× 388 1.9× 39 1.2k
John M. Galbraith United States 18 268 0.4× 114 0.3× 73 0.3× 328 1.6× 355 1.7× 68 1.2k
Ana Horta Australia 14 299 0.4× 208 0.5× 69 0.3× 111 0.5× 106 0.5× 35 713
Wanderson de Sousa Mendes Brazil 19 682 0.9× 360 0.9× 98 0.4× 270 1.3× 301 1.4× 44 979
Guillaume Coulouma France 12 399 0.5× 285 0.7× 125 0.5× 217 1.0× 209 1.0× 23 725
Henning Buddenbaum Germany 21 1.0k 1.3× 431 1.0× 397 1.5× 1.0k 4.8× 129 0.6× 61 1.8k

Countries citing papers authored by Maria Knadel

Since Specialization
Citations

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

Fields of papers citing papers by Maria Knadel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Knadel

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Knadel. A scholar is included among the top collaborators of Maria Knadel 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 Maria Knadel. Maria Knadel 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.
Castaldi, Fabio, Bo Stenberg, Frank Liebisch, et al.. (2025). Estimating soil organic carbon using field VNIR-SWIR spectroscopy and existing soil spectral libraries: Mitigating heterogeneity, roughness and moisture effects. Smart Agricultural Technology. 12. 101353–101353.
2.
Knadel, Maria, et al.. (2024). Assessing the performance of handheld LIBS for predicting soil organic carbon and texture in European soils. Journal of Analytical Atomic Spectrometry. 39(11). 2903–2916.
3.
Hermansen, Cecilie, et al.. (2024). Meta-analysis shows that microplastics affect ecosystem services in terrestrial environments. Journal of Hazardous Materials. 480. 136379–136379. 8 indexed citations
4.
Gomes, Lucas Carvalho, Amélie Beucher, Anders Bjørn Møller, et al.. (2023). Soil assessment in Denmark: Towards soil functional mapping and beyond. SHILAP Revista de lepidopterología. 3. 17 indexed citations
5.
Jonge, Lis Wollesen de, Per Møldrup, Mogens Humlekrog Greve, et al.. (2023). Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate. Remote Sensing. 15(6). 1712–1712. 5 indexed citations
6.
Adhikari, Kabindra, Amélie Beucher, Goswin Johann Heckrath, et al.. (2022). Soil mapping and priorities in Denmark. Geoderma Regional. 29. e00527–e00527. 5 indexed citations
7.
Knadel, Maria, Fabio Castaldi, Roberto Barbetti, et al.. (2022). Mathematical techniques to remove moisture effects from visible–near-infrared–shortwave-infrared soil spectra—review . Applied Spectroscopy Reviews. 58(9). 629–662. 30 indexed citations
8.
Knadel, Maria, Sergey Kucheryavskiy, Lis Wollesen de Jonge, et al.. (2020). Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil Phosphorus Determination. Sensors. 20(18). 5419–5419. 30 indexed citations
9.
Knadel, Maria, et al.. (2020). Total Phosphorus Determination in Soils Using Laser-Induced Breakdown Spectroscopy: Evaluating Different Sources of Matrix Effects. Applied Spectroscopy. 75(1). 22–33. 20 indexed citations
10.
Knadel, Maria, Søren Munch Kristiansen, Yi Peng, et al.. (2019). Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy. Arctic Antarctic and Alpine Research. 51(1). 490–505. 9 indexed citations
11.
Knadel, Maria, et al.. (2019). Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function. Vadose Zone Journal. 18(1). 1–8. 22 indexed citations
12.
Knadel, Maria, et al.. (2019). Estimating Atterberg Limits of Fine‐Grained Soils by Visible–Near‐Infrared Spectroscopy. Vadose Zone Journal. 18(1). 9 indexed citations
13.
Kayabalı, Kamil, et al.. (2019). Predicting coefficient of linear extensibility and Atterberg limits of fine-grained soils using vis-NIR spectra. 1 indexed citations
14.
Knadel, Maria, et al.. (2018). Predicting soil cation exchange capacity for variable soil types with visible near infrared spectra. EGUGA. 3595. 1 indexed citations
15.
Hermansen, Cecilie, Maria Knadel, Per Møldrup, et al.. (2016). Visible–Near‐Infrared Spectroscopy Can Predict the Clay/Organic Carbon and Mineral Fines/Organic Carbon Ratios. Soil Science Society of America Journal. 80(6). 1486–1495. 32 indexed citations
16.
Peng, Yi, Xiong Xiong, Kabindra Adhikari, et al.. (2015). Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra. PLoS ONE. 10(11). e0142295–e0142295. 75 indexed citations
17.
Knadel, Maria, et al.. (2013). Optimal sampling and sample preparation for NIR-based prediction of field scale soil properties. EGU General Assembly Conference Abstracts. 1 indexed citations
18.
Knadel, Maria, et al.. (2013). Moisture effects on visible-near infrared soil spectra - from wet to hyper dry. 1 indexed citations
19.
Knadel, Maria, Mogens Humlekrog Greve, & A. Thomsen. (2009). `VIS/NIR mapping of TOC and extent of organic soils in the Nørre Å valley. EGUGA. 7088.
20.
Rossel, Raphael A. Viscarra, Jan Eriksson, Anton Thomsen, et al.. (2009). The Soil Spectroscopy Group and the development of a global soil spectral library. EGUGA. 14021. 18 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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