Melanie Brandmeier

758 total citations
23 papers, 564 citations indexed

About

Melanie Brandmeier is a scholar working on Artificial Intelligence, Environmental Engineering and Ecology. According to data from OpenAlex, Melanie Brandmeier has authored 23 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Environmental Engineering and 9 papers in Ecology. Recurrent topics in Melanie Brandmeier's work include Geochemistry and Geologic Mapping (10 papers), Remote Sensing in Agriculture (8 papers) and Remote Sensing and LiDAR Applications (8 papers). Melanie Brandmeier is often cited by papers focused on Geochemistry and Geologic Mapping (10 papers), Remote Sensing in Agriculture (8 papers) and Remote Sensing and LiDAR Applications (8 papers). Melanie Brandmeier collaborates with scholars based in Germany, Austria and Switzerland. Melanie Brandmeier's co-authors include Dirk Tiede, Christoph Straub, Gerhard Wörner, Heye Freymuth, Vesa Nykänen, Maarit Middleton, Richard Gloaguen, S. Briechle, Peter Krzystek and Robert Zimmermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Contributions to Mineralogy and Petrology and Remote Sensing.

In The Last Decade

Melanie Brandmeier

23 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie Brandmeier Germany 13 239 213 151 119 111 23 564
Jilu Feng Canada 12 182 0.8× 324 1.5× 265 1.8× 335 2.8× 185 1.7× 27 729
Olga Sykioti Greece 10 138 0.6× 265 1.2× 75 0.5× 106 0.9× 136 1.2× 40 481
T. L. Logan United States 9 182 0.8× 233 1.1× 180 1.2× 127 1.1× 96 0.9× 27 579
Brian Curtiss United States 8 104 0.4× 224 1.1× 113 0.7× 172 1.4× 111 1.0× 14 565
George Leblanc Canada 14 162 0.7× 274 1.3× 35 0.2× 79 0.7× 105 0.9× 34 564
Josée Lévesque Canada 10 143 0.6× 178 0.8× 98 0.6× 171 1.4× 54 0.5× 26 392
Shufang Tian China 11 96 0.4× 117 0.5× 173 1.1× 181 1.5× 151 1.4× 33 458
Susan Meerdink United States 8 175 0.7× 211 1.0× 50 0.3× 96 0.8× 195 1.8× 14 493
Alasdair MacArthur United Kingdom 19 201 0.8× 503 2.4× 63 0.4× 44 0.4× 439 4.0× 34 904
L. Pompilio Italy 14 87 0.4× 170 0.8× 134 0.9× 104 0.9× 42 0.4× 33 497

Countries citing papers authored by Melanie Brandmeier

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Brandmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Brandmeier

This figure shows the co-authorship network connecting the top 25 collaborators of Melanie Brandmeier. A scholar is included among the top collaborators of Melanie Brandmeier 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 Melanie Brandmeier. Melanie Brandmeier 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.
Brandmeier, Melanie, et al.. (2025). MMTSCNet: Multimodal Tree Species Classification Network for Classification of Multi-Source, Single-Tree LiDAR Point Clouds. Remote Sensing. 17(7). 1304–1304. 1 indexed citations
2.
Brandmeier, Melanie, et al.. (2024). TreeSeg—A Toolbox for Fully Automated Tree Crown Segmentation Based on High-Resolution Multispectral UAV Data. Remote Sensing. 16(19). 3660–3660. 1 indexed citations
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Brandmeier, Melanie, et al.. (2022). Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 90(2). 103–121. 31 indexed citations
7.
Brandmeier, Melanie, et al.. (2020). A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data. Remote Sensing. 12(13). 2121–2121. 14 indexed citations
8.
Brandmeier, Melanie, et al.. (2020). A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data. Forests. 11(12). 1239–1239. 12 indexed citations
9.
Brandmeier, Melanie, et al.. (2019). Lithological classification using multi-sensor data and Convolutional Neural Networks. EGU General Assembly Conference Abstracts. 41. 1 indexed citations
10.
Brandmeier, Melanie, et al.. (2019). Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data. Remote Sensing. 11(17). 1976–1976. 110 indexed citations
11.
Brandmeier, Melanie & Yong‐Song Chen. (2019). LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS. SHILAP Revista de lepidopterología. XLII-2/W16. 55–59. 13 indexed citations
12.
Brandmeier, Melanie, et al.. (2019). Boosting for Mineral Prospectivity Modeling: A New GIS Toolbox. Natural Resources Research. 29(1). 71–88. 40 indexed citations
13.
Brandmeier, Melanie, et al.. (2018). Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data. Remote Sensing. 10(9). 1419–1419. 124 indexed citations
14.
Brandmeier, Melanie, et al.. (2018). Comparison of Different Machine-Learning Algorithms for Tree Species Classification Based on Sentinel Data. 1 indexed citations
15.
Zimmermann, Robert, et al.. (2016). Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia). Remote Sensing. 8(8). 620–620. 37 indexed citations
16.
Brandmeier, Melanie & Gerhard Wörner. (2016). Compositional variations of ignimbrite magmas in the Central Andes over the past 26 Ma — A multivariate statistical perspective. Lithos. 262. 713–728. 37 indexed citations
17.
Zimmermann, Robert, Melanie Brandmeier, Louis Andreani, & Richard Gloaguen. (2015). Hyperspectral remote sensing exploration of carbonatite - an example from Epembe, Kunene region, Namibia. EGU General Assembly Conference Abstracts. 8836. 1 indexed citations
18.
Freymuth, Heye, Melanie Brandmeier, & Gerhard Wörner. (2015). The origin and crust/mantle mass balance of Central Andean ignimbrite magmatism constrained by oxygen and strontium isotopes and erupted volumes. Contributions to Mineralogy and Petrology. 169(6). 52 indexed citations
19.
Székely, Balázs, Zsófia Koma, Dávid Karátson, et al.. (2014). Automated recognition of quasi‐planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes. Earth Surface Processes and Landforms. 39(10). 1386–1399. 7 indexed citations
20.
Brandmeier, Melanie, et al.. (2013). Mapping patterns of mineral alteration in volcanic terrains using ASTER data and field spectrometry in Southern Peru. Journal of South American Earth Sciences. 48. 296–314. 12 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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