Isabel Greenberg

527 total citations
19 papers, 421 citations indexed

About

Isabel Greenberg is a scholar working on Soil Science, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Isabel Greenberg has authored 19 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Soil Science, 10 papers in Environmental Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Isabel Greenberg's work include Soil Carbon and Nitrogen Dynamics (11 papers), Soil Geostatistics and Mapping (10 papers) and Geochemistry and Geologic Mapping (6 papers). Isabel Greenberg is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (11 papers), Soil Geostatistics and Mapping (10 papers) and Geochemistry and Geologic Mapping (6 papers). Isabel Greenberg collaborates with scholars based in Germany, United States and Austria. Isabel Greenberg's co-authors include Bernard Ludwig, Bruno Glaser, Michael Kaiser, Jennifer Cooper, Daniel Fischer, Michael Vohland, Michael Seidel, Katja Wiedner, William D. Leslie and Christopher Hutengs and has published in prestigious journals such as The Science of The Total Environment, Soil Science Society of America Journal and Sensors.

In The Last Decade

Isabel Greenberg

17 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Greenberg Germany 9 235 112 62 55 55 19 421
Larry L. Freeborn United States 8 182 0.8× 146 1.3× 72 1.2× 53 1.0× 54 1.0× 9 369
Pedro Rodolfo Siqueira Vendrame Brazil 11 132 0.6× 142 1.3× 81 1.3× 22 0.4× 69 1.3× 24 315
Ali Asghar Zolfaghari Iran 13 193 0.8× 205 1.8× 53 0.9× 62 1.1× 103 1.9× 32 546
Lucas Benedet Brazil 10 179 0.8× 142 1.3× 108 1.7× 30 0.5× 118 2.1× 22 419
D. V. Sarkhot United States 9 288 1.2× 183 1.6× 101 1.6× 89 1.6× 50 0.9× 10 652
Bambang Hari Kusumo Indonesia 9 117 0.5× 151 1.3× 74 1.2× 47 0.9× 37 0.7× 37 303
Dalel Abdi Canada 9 208 0.9× 66 0.6× 40 0.6× 49 0.9× 87 1.6× 11 406
Prasenjit Ray India 13 111 0.5× 76 0.7× 36 0.6× 27 0.5× 80 1.5× 48 448
Graziela Moraes de Césare Barbosa Brazil 12 333 1.4× 42 0.4× 27 0.4× 67 1.2× 133 2.4× 39 464
Mahboub Saffari Iran 11 140 0.6× 105 0.9× 34 0.5× 19 0.3× 80 1.5× 39 437

Countries citing papers authored by Isabel Greenberg

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Greenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Greenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Greenberg. A scholar is included among the top collaborators of Isabel Greenberg 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 Isabel Greenberg. Isabel Greenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
3.
Greenberg, Isabel, et al.. (2024). Short‐Term Dynamics of Low Molecular Weight Organic Substances and Biochar in Arable Soils. Journal of Plant Nutrition and Soil Science. 188(1). 105–117. 3 indexed citations
4.
Ludwig, Bernard, Isabel Greenberg, Michael Vohland, & Kerstin Michel. (2023). Optimised use of data fusion and memory‐based learning with an Austrian soil library for predictions with infrared data. European Journal of Soil Science. 74(4). 4 indexed citations
5.
Greenberg, Isabel, Michael Vohland, Michael Seidel, et al.. (2023). Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale. Sensors. 23(2). 662–662. 11 indexed citations
6.
Greenberg, Isabel, et al.. (2023). Optimization of sample preparation and data evaluation techniques for X‐ray fluorescence prediction of soil texture, pH, and cation exchange capacity of loess soils. Soil Science Society of America Journal. 88(1). 27–42. 1 indexed citations
7.
Seidel, Michael, Michael Vohland, Isabel Greenberg, et al.. (2022). Soil moisture effects on predictive VNIR and MIR modeling of soil organic carbon and clay content. Geoderma. 427. 116103–116103. 34 indexed citations
8.
Ludwig, Bernard, et al.. (2022). Application of mixed‐effects modelling and rule‐based models to explain copper variation in soil profiles of southern Germany. European Journal of Soil Science. 73(3). 1 indexed citations
9.
Ludwig, Bernard, et al.. (2022). Description and prediction of copper contents in soils using different modeling approaches—Results of long‐term monitoring of soils of northern Germany. Journal of Plant Nutrition and Soil Science. 185(6). 876–887. 1 indexed citations
11.
Greenberg, Isabel, Michael Seidel, Michael Vohland, & Bernard Ludwig. (2021). Performance of field‐scale lab vs in situ visible/near‐ and mid‐infrared spectroscopy for estimation of soil properties. European Journal of Soil Science. 73(1). 27 indexed citations
12.
Greenberg, Isabel, Michael Seidel, Michael Vohland, Heinz‐Josef Koch, & Bernard Ludwig. (2021). Performance of in situ vs laboratory mid-infrared soil spectroscopy using local and regional calibration strategies. Geoderma. 409. 115614–115614. 29 indexed citations
13.
Zhao, Xing, Xingliang Xu, Fang Wang, et al.. (2020). Climatic, Edaphic and Biotic Controls over Soil δ13C and δ15N in Temperate Grasslands. Forests. 11(4). 433–433. 8 indexed citations
14.
Greenberg, Isabel, et al.. (2020). Robustness of visible near‐infrared and mid‐infrared spectroscopic models to changes in the quantity and quality of crop residues in soil. Soil Science Society of America Journal. 84(3). 963–977. 11 indexed citations
15.
Ludwig, Bernard, et al.. (2020). Diffuse reflectance infrared spectroscopy estimates for soil properties using multiple partitions: Effects of the range of contents, sample size, and algorithms. Soil Science Society of America Journal. 85(3). 546–559. 5 indexed citations
16.
Cooper, Jennifer, Isabel Greenberg, Bernard Ludwig, et al.. (2020). Effect of biochar and compost on soil properties and organic matter in aggregate size fractions under field conditions. Agriculture Ecosystems & Environment. 295. 106882–106882. 178 indexed citations
17.
Greenberg, Isabel, Michael Kaiser, Anna Gunina, et al.. (2019). Substitution of mineral fertilizers with biogas digestate plus biochar increases physically stabilized soil carbon but not crop biomass in a field trial. The Science of The Total Environment. 680. 181–189. 59 indexed citations
18.
Greenberg, Isabel, et al.. (2019). The effect of biochar with biogas digestate or mineral fertilizer on fertility, aggregation and organic carbon content of a sandy soil: Results of a temperate field experiment. Journal of Plant Nutrition and Soil Science. 182(5). 824–835. 28 indexed citations
19.
Leslie, William D. & Isabel Greenberg. (1991). Reference range determination: the problem of small sample sizes.. PubMed. 32(12). 2306–10. 16 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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