Sarah Kentsch

416 total citations
9 papers, 315 citations indexed

About

Sarah Kentsch is a scholar working on Environmental Engineering, Ecology and Ecological Modeling. According to data from OpenAlex, Sarah Kentsch has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Ecology and 2 papers in Ecological Modeling. Recurrent topics in Sarah Kentsch's work include Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (4 papers) and Species Distribution and Climate Change (2 papers). Sarah Kentsch is often cited by papers focused on Remote Sensing and LiDAR Applications (6 papers), Remote Sensing in Agriculture (4 papers) and Species Distribution and Climate Change (2 papers). Sarah Kentsch collaborates with scholars based in Japan, Australia and Germany. Sarah Kentsch's co-authors include Yago Díez, Maximo Larry Lopez Caceres, Mariano Cabezas, Motohisa Fukuda, Daniel Serrano, Gerta Keller, Thierry Adatte, Shu Hase, Ulrich Heimhofer and Stefan Schouten and has published in prestigious journals such as Nature Communications, Sensors and Remote Sensing.

In The Last Decade

Sarah Kentsch

9 papers receiving 310 citations

Peers

Countries citing papers authored by Sarah Kentsch

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Kentsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Kentsch

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning 2021 ·Remote Sensing ·(unknown), Maximo Larry Lopez Caceres, (unknown), Sarah Kentsch, Shu Hase, Yago Díez	43
2	Analysis of UAV-Acquired Wetland Orthomosaics Using GIS, Computer Vision, Computational Topology and Deep Learning 2021 ·Sensors ·Sarah Kentsch, Mariano Cabezas, (unknown), (unknown), Benjamin Burkhard, Maximo Larry Lopez Caceres, (unknown), Yago Díez	16
3	Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review 2021 ·Remote Sensing ·Yago Díez, Sarah Kentsch, Motohisa Fukuda, Maximo Larry Lopez Caceres, (unknown), Mariano Cabezas	109
4	Correction: Nguyen et al. Individual Sick Fir Tree (Abies mariesii) Identification in Insect Infested Forests by Means of UAV Images and Deep Learning. Remote Sens. 2021, 13, 260 2021 ·Remote Sensing ·(unknown), Maximo Larry Lopez Caceres, (unknown), Sarah Kentsch, Shu Hase, Yago Díez	1
5	Detection and Classification of trees using Deep Learning 2020 ·(unknown), (unknown), Sarah Kentsch, (unknown), (unknown)	1
6	Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study 2020 ·Remote Sensing ·Sarah Kentsch, Maximo Larry Lopez Caceres, Daniel Serrano, (unknown), Yago Díez	57
7	Detection of Invasive Species in Wetlands: Practical DL with Heavily Imbalanced Data 2020 ·Remote Sensing ·Mariano Cabezas, Sarah Kentsch, (unknown), (unknown), Maximo Larry Lopez Caceres, Yago Díez	22
8	Comparison of Algorithms for Tree-top Detection in Drone Image Mosaics of Japanese Mixed Forests 2020 ·Yago Díez, Sarah Kentsch, Maximo Larry Lopez Caceres, (unknown), Daniel Serrano, (unknown)	7
9	Vegetation response to exceptional global warmth during Oceanic Anoxic Event 2 2018 ·Nature Communications ·Ulrich Heimhofer, (unknown), Thierry Adatte, Stefan Schouten, Elke Schneebeli‐Hermann, Silvia Gardin, Gerta Keller, Sarah Kentsch, (unknown)	59

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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