Hanno Scharr

4.9k total citations
87 papers, 2.9k citations indexed

About

Hanno Scharr is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Hanno Scharr has authored 87 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 27 papers in Computer Vision and Pattern Recognition and 17 papers in Ecology. Recurrent topics in Hanno Scharr's work include Smart Agriculture and AI (19 papers), Leaf Properties and Growth Measurement (17 papers) and Remote Sensing in Agriculture (16 papers). Hanno Scharr is often cited by papers focused on Smart Agriculture and AI (19 papers), Leaf Properties and Growth Measurement (17 papers) and Remote Sensing in Agriculture (16 papers). Hanno Scharr collaborates with scholars based in Germany, Italy and United States. Hanno Scharr's co-authors include Sotirios A. Tsaftaris, Ulrich Schurr, Massimo Minervini, Uwe Rascher, Joachim Weickert, Kerstin Nagel, Andreas Fischbach, Achim Walter, Bernhard Biskup and Andreas Fischbach and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and PLANT PHYSIOLOGY.

In The Last Decade

Hanno Scharr

79 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanno Scharr Germany 25 2.1k 870 410 347 298 87 2.9k
Michael P. Pound United Kingdom 21 1.8k 0.9× 444 0.5× 99 0.2× 299 0.9× 341 1.1× 50 2.3k
C. A. Glasbey United Kingdom 24 747 0.4× 268 0.3× 560 1.4× 266 0.8× 338 1.1× 119 3.2k
Arti Singh United States 26 2.8k 1.4× 995 1.1× 74 0.2× 228 0.7× 338 1.1× 72 3.5k
Wanneng Yang China 28 2.9k 1.4× 932 1.1× 74 0.2× 305 0.9× 477 1.6× 90 3.5k
Bo Xu China 29 1.7k 0.8× 1.8k 2.0× 351 0.9× 1.4k 4.0× 62 0.2× 158 3.7k
Yuntao Ma China 30 1.7k 0.8× 1.0k 1.2× 54 0.1× 550 1.6× 108 0.4× 119 2.4k
Christian Klukas Germany 28 1.9k 0.9× 547 0.6× 146 0.4× 135 0.4× 1.2k 3.9× 56 3.1k
Yufeng Ge United States 36 2.2k 1.1× 1.5k 1.7× 67 0.2× 1.5k 4.3× 206 0.7× 173 4.4k
A. R. Rao India 29 1.4k 0.7× 269 0.3× 165 0.4× 105 0.3× 1.2k 4.1× 209 3.4k

Countries citing papers authored by Hanno Scharr

Since Specialization
Citations

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

Fields of papers citing papers by Hanno Scharr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanno Scharr

This figure shows the co-authorship network connecting the top 25 collaborators of Hanno Scharr. A scholar is included among the top collaborators of Hanno Scharr 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 Hanno Scharr. Hanno Scharr 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.
Pato, Miguel, Kevin Alonso, Stefan Auer, et al.. (2025). Simulation framework for solar-induced fluorescence retrieval and application to DESIS and HyPlant. Remote Sensing of Environment. 330. 114944–114944.
2.
Pfaehler, Elisabeth, Daniel Pflugfelder, & Hanno Scharr. (2025). Untrained perceptual loss for image denoising of line-like structures in MRimages. PLoS ONE. 20(2). e0318992–e0318992.
3.
Pato, Miguel, Kevin Alonso, Stefan Auer, et al.. (2025). A multi-layer perceptron approach for SIF retrieval in the O 2 -A absorption band from hyperspectral imagery of the HyPlant airborne sensor system. Remote Sensing of Environment. 318. 114596–114596. 2 indexed citations
4.
Scharr, Hanno, et al.. (2025). VRoot: A VR-Based application for manual root system architecture reconstruction. Plant Phenomics. 7(2). 100013–100013. 1 indexed citations
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7.
Hoffmann, Marco, Masanari Takamiya, Nils Hersch, et al.. (2023). Smuggling on the Nanoscale—Fusogenic Liposomes Enable Efficient RNA-Transfer with Negligible Immune Response In Vitro and In Vivo. Pharmaceutics. 15(4). 1210–1210. 7 indexed citations
8.
Scherr, Tim, et al.. (2022). microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation. PLoS ONE. 17(11). e0277601–e0277601. 8 indexed citations
9.
Nagel, Kerstin, H. Lenz, Bernd Kastenholz, et al.. (2020). The platform GrowScreen-Agar enables identification of phenotypic diversity in root and shoot growth traits of agar grown plants. Plant Methods. 16(1). 89–89. 17 indexed citations
10.
Scharr, Hanno, Tony Pridmore, & Sotirios A. Tsaftaris. (2017). Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers. 2020–2021. 16 indexed citations
11.
Fischbach, Andreas, et al.. (2016). 3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies. Frontiers in Plant Science. 7. 745–745. 30 indexed citations
12.
Bühler, Jonas, Daniel Pflugfelder, Gregor Huber, et al.. (2015). phenoVein - A tool for leaf vein segmentation and analysis. PLANT PHYSIOLOGY. 169(4). pp.00974.2015–pp.00974.2015. 46 indexed citations
13.
Scharr, Hanno, Massimo Minervini, Andrew P. French, et al.. (2015). Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications. 27(4). 585–606. 195 indexed citations
14.
Dellen, Babette, Hanno Scharr, & Carme Torras. (2015). Growth Signatures of Rosette Plants from Time-Lapse Video. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(6). 1470–1478. 36 indexed citations
15.
Müller‐Linow, Mark, Francisco Pinto, Hanno Scharr, & Uwe Rascher. (2015). The leaf angle distribution of natural plant populations: assessing the canopy with a novel software tool. Plant Methods. 11(1). 11–11. 83 indexed citations
16.
17.
Scharr, Hanno, et al.. (2005). Leaf growth dynamics of two congener gymnosperm tree species reflect the heterogeneity of light intensities given in their natural ecological niche. Plant Cell & Environment. 28(12). 1496–1505. 23 indexed citations
18.
Scharr, Hanno, Michael J. Black, & Horst Haußecker. (2003). Image Statistics and Anisotropic Diffusion. JuSER (Forschungszentrum Jülich). 840–847. 33 indexed citations
19.
Schurr, Ulrich, Achim Walter, Stefan Terjung, et al.. (2001). Dynamics of leaf and root growth. Science Access. 3(1). 6 indexed citations
20.
Kirchgeßner, Norbert, et al.. (2000). Dense structure estimation via regularised optical flow. Vision Modeling and Visualization. 57–64. 2 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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