Thorsten Hoeser

662 total citations · 1 hit paper
8 papers, 472 citations indexed

About

Thorsten Hoeser is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Thorsten Hoeser has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Media Technology, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Ocean Engineering. Recurrent topics in Thorsten Hoeser's work include Remote-Sensing Image Classification (3 papers), Geochemistry and Geologic Mapping (2 papers) and Wind Energy Research and Development (2 papers). Thorsten Hoeser is often cited by papers focused on Remote-Sensing Image Classification (3 papers), Geochemistry and Geologic Mapping (2 papers) and Wind Energy Research and Development (2 papers). Thorsten Hoeser collaborates with scholars based in Germany and United States. Thorsten Hoeser's co-authors include Claudia Kuenzer, Felix Bachofer, Sarah Asam, Ursula Geßner, Juliane Huth, Thomas Esch and Mattia Marconcini and has published in prestigious journals such as Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Thorsten Hoeser

8 papers receiving 459 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

2020 266 citations Thorsten Hoeser, Claudia Kuenzer Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thorsten Hoeser Germany	6	150	126	113	109	106	8	472
Zhiheng Liu China	14	174 1.2×	199 1.6×	138 1.2×	156 1.4×	122 1.2×	43	678
Jacob Shermeyer United States	7	133 0.9×	101 0.8×	97 0.9×	182 1.7×	78 0.7×	10	395
Reza Shah–Hosseini Iran	15	117 0.8×	201 1.6×	93 0.8×	157 1.4×	128 1.2×	55	510
Lanfa Liu China	12	170 1.1×	168 1.3×	80 0.7×	125 1.1×	130 1.2×	27	682
Panu Srestasathiern Thailand	9	168 1.1×	150 1.2×	144 1.3×	138 1.3×	49 0.5×	29	450
Shucheng You China	9	149 1.0×	265 2.1×	124 1.1×	210 1.9×	129 1.2×	25	580
Leonardo S. Bins Brazil	9	107 0.7×	219 1.7×	84 0.7×	173 1.6×	121 1.1×	16	572
Zhengjun Liu China	15	329 2.2×	170 1.3×	117 1.0×	143 1.3×	85 0.8×	67	678
Xizhe Xue China	7	77 0.5×	193 1.5×	169 1.5×	82 0.8×	56 0.5×	13	461
Wenjie Liu China	8	91 0.6×	120 1.0×	158 1.4×	52 0.5×	66 0.6×	29	423

Countries citing papers authored by Thorsten Hoeser

Since Specialization

Citations

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

Fields of papers citing papers by Thorsten Hoeser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Hoeser

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

All Works

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8 of 8 papers shown

1.

Hoeser, Thorsten, et al.. (2022). DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data. Earth system science data. 14(9). 4251–4270. 29 indexed citations

2.

Hoeser, Thorsten & Claudia Kuenzer. (2022). Global dynamics of the offshore wind energy sector monitored with Sentinel-1: Turbine count, installed capacity and site specifications. International Journal of Applied Earth Observation and Geoinformation. 112. 102957–102957. 8 indexed citations

3.

Hoeser, Thorsten & Claudia Kuenzer. (2022). SyntEO: Synthetic dataset generation for earth observation and deep learning – Demonstrated for offshore wind farm detection. ISPRS Journal of Photogrammetry and Remote Sensing. 189. 163–184. 19 indexed citations

4.

Hoeser, Thorsten, et al.. (2022). Deep Learning on Synthetic Data Enables the Automatic Identification of Deficient Forested Windbreaks in the Paraguayan Chaco. Remote Sensing. 14(17). 4327–4327. 10 indexed citations

5.

Bachofer, Felix, Juliane Huth, Thorsten Hoeser, et al.. (2022). Spatial Modelling and Prediction with the Spatio-Temporal Matrix: A Study on Predicting Future Settlement Growth. Land. 11(8). 1174–1174. 3 indexed citations

6.

Hoeser, Thorsten. (2020). thho/StaMPS_Visualizer: Baseline Plot. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

7.

Hoeser, Thorsten, Felix Bachofer, & Claudia Kuenzer. (2020). Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications. Remote Sensing. 12(18). 3053–3053. 135 indexed citations

8.

Hoeser, Thorsten & Claudia Kuenzer. (2020). Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends. Remote Sensing. 12(10). 1667–1667. 266 indexed citations breakdown →

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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