Nina Boesche

721 total citations · 1 hit paper
14 papers, 557 citations indexed

About

Nina Boesche is a scholar working on Artificial Intelligence, Media Technology and Environmental Engineering. According to data from OpenAlex, Nina Boesche has authored 14 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Media Technology and 7 papers in Environmental Engineering. Recurrent topics in Nina Boesche's work include Remote-Sensing Image Classification (10 papers), Geochemistry and Geologic Mapping (10 papers) and Soil Geostatistics and Mapping (5 papers). Nina Boesche is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Geochemistry and Geologic Mapping (10 papers) and Soil Geostatistics and Mapping (5 papers). Nina Boesche collaborates with scholars based in Germany, South Africa and Canada. Nina Boesche's co-authors include Christian Mielke, Christian Rogaß, Hermann Kaufmann, Uwe Altenberger, Christoph Gauert, Geraldo Wilson Fernandes, Sérvio Pontes Ribeiro, Daniel C. Carvalho, Jorge L. Ramírez and Marcel Serra Coelho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Nina Boesche

14 papers receiving 545 citations

Hit Papers

Deep into the mud: ecolog... 2016 2026 2019 2022 2016 50 100 150 200 250
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.

  1. Deep into the mud: ecological and socio-economic impacts of the dam breach in Mariana, Brazil
    2016 279 citations Geraldo Wilson Fernandes, Fernando Figueiredo Goulart et al. Natureza & Conservação profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Boesche Germany 8 199 164 111 76 72 14 557
Christian Mielke Germany 13 265 1.3× 250 1.5× 111 1.0× 143 1.9× 149 2.1× 26 757
David J. Campagna United States 11 134 0.7× 110 0.7× 9 0.1× 62 0.8× 143 2.0× 21 571
Navin K. C. Twarakavi United States 12 72 0.4× 82 0.5× 370 3.3× 447 5.9× 95 1.3× 17 855
Ana Horta Australia 14 208 1.0× 16 0.1× 67 0.6× 299 3.9× 111 1.5× 35 713
Xiaoai Dai China 17 60 0.3× 72 0.4× 25 0.2× 107 1.4× 159 2.2× 65 767
Mohammad Reza Khaleghi Iran 17 58 0.3× 32 0.2× 44 0.4× 221 2.9× 109 1.5× 46 618
C. Scheib United Kingdom 11 147 0.7× 26 0.2× 30 0.3× 188 2.5× 58 0.8× 20 466
Liu Jin China 11 86 0.4× 17 0.1× 14 0.1× 181 2.4× 104 1.4× 65 576
Fang Yin China 13 77 0.4× 45 0.3× 14 0.1× 140 1.8× 98 1.4× 40 557
José Lucas Safanelli Brazil 19 449 2.3× 34 0.2× 67 0.6× 849 11.2× 354 4.9× 45 1.2k

Countries citing papers authored by Nina Boesche

Since Specialization
Citations

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

Fields of papers citing papers by Nina Boesche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Boesche

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

All Works

14 of 14 papers shown
1.
Mielke, Christian, Sabine Chabrillat, Christian Rogaß, et al.. (2018). Engeomap and Ensomap: Software Interfaces for Mineral and Soil Mapping under Development in the Frame of the Enmap Mission. Publication Database GFZ (GFZ German Research Centre for Geosciences). 8369–8372. 4 indexed citations
2.
Rogaß, Christian, et al.. (2017). Translational Imaging Spectroscopy for Proximal Sensing. Sensors. 17(8). 1857–1857. 19 indexed citations
3.
Fernandes, Geraldo Wilson, Fernando Figueiredo Goulart, Bernardo Ranieri, et al.. (2016). Deep into the mud: ecological and socio-economic impacts of the dam breach in Mariana, Brazil. Natureza & Conservação. 14(2). 35–45. 279 indexed citations breakdown →
4.
Boesche, Nina, et al.. (2016). Evolution of temperature of a case-II water and an inland lake around the Weihai area, Shandong province between 1994 and 2014. Publication Database GFZ (GFZ German Research Centre for Geosciences). 2316–2319. 1 indexed citations
5.
Boesche, Nina, Christian Rogaß, Christian Mielke, et al.. (2016). Rare earth element detection from near-field to space - samarium detection using the REEMAP algorithm. Publication Database GFZ (GFZ German Research Centre for Geosciences). 5414–5417. 2 indexed citations
6.
Mielke, Christian, Christian Rogaß, Nina Boesche, Karl Segl, & Uwe Altenberger. (2016). EnGeoMAP 2.0—Automated Hyperspectral Mineral Identification for the German EnMAP Space Mission. Remote Sensing. 8(2). 127–127. 35 indexed citations
7.
Mielke, Christian, Anne Papenfuß, Nina Boesche, et al.. (2016). Multi- and hyperspectral spaceborne remote sensing of the Aggeneys base metal sulphide mineral deposit sites in the Lower Orange River region, South Africa. South African Journal of Geology. 119(1). 63–76. 9 indexed citations
8.
Boesche, Nina, Christian Rogaß, Maximilian Brell, et al.. (2015). Hyperspectral REE (Rare Earth Element) Mapping of Outcrops—Applications for Neodymium Detection. Remote Sensing. 7(5). 5160–5186. 67 indexed citations
9.
Rogaß, Christian, Ulrich Harms, Michael Schudack, et al.. (2015). DRILL CORE MINERAL ANALYSIS BY MEANS OF THE HYPERSPECTRAL IMAGING SPECTROMETER HySpex, XRD AND ASD IN PROXIMITY OF THE MÝTINA MAAR, CZECH REPUBLIC. SHILAP Revista de lepidopterología. XL-1/W5. 417–424. 7 indexed citations
10.
Mielke, Christian, Nina Boesche, Christian Rogaß, Hermann Kaufmann, & Christoph Gauert. (2015). New geometric hull continuum removal algorithm for automatic absorption band detection from spectroscopic data. Remote Sensing Letters. 6(2). 97–105. 15 indexed citations
11.
Rogaß, Christian, Christian Mielke, Daniel Scheffler, et al.. (2014). Reduction of Uncorrelated Striping Noise—Applications for Hyperspectral Pushbroom Acquisitions. Remote Sensing. 6(11). 11082–11106. 37 indexed citations
12.
Rogaß, Christian, Luis Guanter, Christian Mielke, et al.. (2014). AN AUTOMATED PROCESSING CHAIN FOR THE RETRIEVAL OF GEOREFERENCED REFLECTANCE DATA FROM HYPERSPECTRAL EO-1 HYPERION ACQUISITIONS. Publication Database GFZ (GFZ German Research Centre for Geosciences). 7 indexed citations
13.
Mielke, Christian, et al.. (2014). Spaceborne Mine Waste Mineralogy Monitoring in South Africa, Applications for Modern Push-Broom Missions: Hyperion/OLI and EnMAP/Sentinel-2. Remote Sensing. 6(8). 6790–6816. 74 indexed citations
14.
Boesche, Nina & Martin H. Trauth. (2012). Provenance Analysis of Surface Sediments in the Chew Bahir Basin (Ethiopia) using Remote Sensing Data. EGU General Assembly Conference Abstracts. 6174. 1 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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