Robert Jackisch

527 total citations
25 papers, 386 citations indexed

About

Robert Jackisch is a scholar working on Artificial Intelligence, Media Technology and Space and Planetary Science. According to data from OpenAlex, Robert Jackisch has authored 25 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Media Technology and 6 papers in Space and Planetary Science. Recurrent topics in Robert Jackisch's work include Geochemistry and Geologic Mapping (18 papers), Remote-Sensing Image Classification (12 papers) and Archaeological Research and Protection (6 papers). Robert Jackisch is often cited by papers focused on Geochemistry and Geologic Mapping (18 papers), Remote-Sensing Image Classification (12 papers) and Archaeological Research and Protection (6 papers). Robert Jackisch collaborates with scholars based in Germany, Finland and Denmark. Robert Jackisch's co-authors include Richard Gloaguen, Sandra Lorenz, Robert Zimmermann, Moritz Kirsch, Pedram Ghamisi, Robert Möckel, Laura Tuşa, Behnood Rasti, René Booysen and Paul A.M. Nex and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Robert Jackisch

24 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Jackisch Germany 11 174 157 66 64 62 25 386
René Booysen Germany 9 152 0.9× 137 0.9× 33 0.5× 57 0.9× 44 0.7× 16 284
Laura Tuşa Germany 14 342 2.0× 311 2.0× 47 0.7× 230 3.6× 54 0.9× 26 626
Cecilia Contreras Germany 10 226 1.3× 243 1.5× 22 0.3× 127 2.0× 31 0.5× 21 409
Jie Xiang China 13 411 2.4× 177 1.1× 43 0.7× 229 3.6× 135 2.2× 21 614
Saeid Asadzadeh Brazil 10 250 1.4× 249 1.6× 16 0.2× 59 0.9× 107 1.7× 21 547
Enton Bedini Denmark 9 466 2.7× 399 2.5× 22 0.3× 103 1.6× 152 2.5× 20 557
R.D. Hewson Australia 14 542 3.1× 401 2.6× 16 0.2× 96 1.5× 295 4.8× 50 707
Yusen Dong China 12 63 0.4× 97 0.6× 14 0.2× 13 0.2× 108 1.7× 33 370
Wilson Jose ́ de Oliveira Brazil 9 80 0.5× 161 1.0× 13 0.2× 20 0.3× 76 1.2× 13 478
Yinhe Liu China 9 34 0.2× 101 0.6× 29 0.4× 11 0.2× 47 0.8× 27 290

Countries citing papers authored by Robert Jackisch

Since Specialization
Citations

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

Fields of papers citing papers by Robert Jackisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Jackisch

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Jackisch. A scholar is included among the top collaborators of Robert Jackisch 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 Robert Jackisch. Robert Jackisch 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.
Jackisch, Robert, Shan Kothari, J. Pablo Arroyo‐Mora, et al.. (2025). Methodological considerations for studying spectral-plant diversity relationships. Remote Sensing of Environment. 328. 114907–114907.
2.
Jackisch, Robert, Björn Heincke, Robert Zimmermann, et al.. (2022). Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland. Solid Earth. 13(4). 793–825. 12 indexed citations
3.
Lorenz, Sandra, Robert Jackisch, Laura Tuşa, et al.. (2021). UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters. Minerals. 11(2). 182–182. 43 indexed citations
4.
Jackisch, Robert, Björn Heincke, Robert Zimmermann, et al.. (2021). Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland. 3 indexed citations
5.
Booysen, René, et al.. (2021). Hyperspectral imaging with UAVs for mineral exploration. 1–3. 2 indexed citations
6.
Ghamisi, Pedram, et al.. (2021). A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data. Institutional Repository University of Antwerp (University of Antwerp). 1–5. 3 indexed citations
7.
Booysen, René, et al.. (2021). How Can Drones Contribute to Mineral Exploration?. 1867–1870. 1 indexed citations
8.
Duan, Puhong, Pedram Ghamisi, Xudong Kang, et al.. (2020). Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping. Remote Sensing. 12(18). 2903–2903. 12 indexed citations
9.
Ghamisi, Pedram, et al.. (2020). A NEW SPECTRAL-SPATIAL SUBSPACE CLUSTERING ALGORITHM FOR HYPERSPECTRAL IMAGE ANALYSIS. SHILAP Revista de lepidopterología. V-3-2020. 185–191. 2 indexed citations
10.
Jackisch, Robert, Sandra Lorenz, Moritz Kirsch, et al.. (2020). Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems. Remote Sensing. 12(18). 2998–2998. 31 indexed citations
11.
Ghamisi, Pedram, et al.. (2020). Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm. Remote Sensing. 12(23). 4007–4007. 13 indexed citations
12.
Booysen, René, Robert Jackisch, Sandra Lorenz, et al.. (2020). Detection of REEs with lightweight UAV-based hyperspectral imaging. Scientific Reports. 10(1). 17450–17450. 54 indexed citations
13.
Ghamisi, Pedram, Hao Li, Robert Jackisch, Behnood Rasti, & Richard Gloaguen. (2020). Remote Sensing and Deep Learning for Sustainable Mining. 10. 3739–3742. 4 indexed citations
14.
Duan, Puhong, Pedram Ghamisi, Robert Jackisch, et al.. (2020). Intrinsic Image Decomposition-Based Resolution Enhancement for Mineral Mapping. 4112–4115. 4 indexed citations
15.
Jackisch, Robert, et al.. (2019). Drone-Borne Hyperspectral and Magnetic Data Integration: Otanmäki Fe-Ti-V Deposit in Finland. Remote Sensing. 11(18). 2084–2084. 43 indexed citations
16.
Jackisch, Robert, et al.. (2019). UAS aeromagnetic survey for mineral exploration using a fluxgate triaxial magnetometer.. EGU General Assembly Conference Abstracts. 14812. 2 indexed citations
17.
Jackisch, Robert, et al.. (2019). Integration of UAS-borne hyperspectral remote-sensing and geophysics in mineral exploration under sub-polar conditions in Finland.. EGU General Assembly Conference Abstracts. 14613. 2 indexed citations
18.
Kirsch, Moritz, Sandra Lorenz, Robert Zimmermann, et al.. (2019). Hyperspectral outcrop models for palaeoseismic studies. The Photogrammetric Record. 34(168). 385–407. 15 indexed citations
19.
Heincke, Björn, Robert Jackisch, Robert Zimmermann, et al.. (2019). Developing multi-sensor drones for geological mapping and mineral exploration: setup and first results from the MULSEDRO project. Geological Survey of Denmark and Greenland Bulletin. 43. 23 indexed citations
20.
Jackisch, Robert, Sandra Lorenz, Robert Zimmermann, Robert Möckel, & Richard Gloaguen. (2018). Drone-Borne Hyperspectral Monitoring of Acid Mine Drainage: An Example from the Sokolov Lignite District. Remote Sensing. 10(3). 385–385. 54 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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2026