Andreas Backhaus

1.1k total citations
39 papers, 667 citations indexed

About

Andreas Backhaus is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Backhaus has authored 39 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 14 papers in Analytical Chemistry and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Backhaus's work include Spectroscopy and Chemometric Analyses (14 papers), Remote-Sensing Image Classification (5 papers) and Smart Agriculture and AI (4 papers). Andreas Backhaus is often cited by papers focused on Spectroscopy and Chemometric Analyses (14 papers), Remote-Sensing Image Classification (5 papers) and Smart Agriculture and AI (4 papers). Andreas Backhaus collaborates with scholars based in Germany, United Kingdom and Spain. Andreas Backhaus's co-authors include Udo Seiffert, Inmaculada Martínez‐Zarzoso, Chris Muris, Andrew J. Fleming, Hans‐Peter Mock, Anna Kicherer, Dietmar Heinke, Reinhard Töpfer, Robert Malinowski and Marion Bauch and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Andreas Backhaus

38 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Backhaus Germany 17 376 153 134 92 75 39 667
Laura Tateosian United States 10 370 1.0× 87 0.6× 27 0.2× 69 0.8× 83 1.1× 30 769
Wancai Liu China 13 586 1.6× 88 0.6× 101 0.8× 27 0.3× 11 0.1× 22 809
Pascal Welke Germany 5 324 0.9× 287 1.9× 224 1.7× 15 0.2× 49 0.7× 16 542
Hervé Goëau France 12 630 1.7× 282 1.8× 179 1.3× 6 0.1× 52 0.7× 44 1.0k
Amots Hetzroni Israel 17 588 1.6× 139 0.9× 88 0.7× 9 0.1× 26 0.3× 36 1.1k
Mirwaes Wahabzada Germany 18 774 2.1× 548 3.6× 497 3.7× 11 0.1× 131 1.7× 22 1.2k
Hongyan Wang China 8 541 1.4× 133 0.9× 195 1.5× 6 0.1× 61 0.8× 27 679
Farzana Nowrin Bangladesh 6 432 1.1× 50 0.3× 137 1.0× 9 0.1× 17 0.2× 7 515
Frédéric Boudon France 18 977 2.6× 181 1.2× 18 0.1× 11 0.1× 33 0.4× 42 1.4k

Countries citing papers authored by Andreas Backhaus

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Backhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Backhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Backhaus. A scholar is included among the top collaborators of Andreas Backhaus 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 Andreas Backhaus. Andreas Backhaus 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.
Backhaus, Andreas. (2023). Socio-demographic factors associated with COVID-19 vaccine uptake and refusal among Ugandan women. Globalization and Health. 19(1). 68–68. 5 indexed citations
2.
Backhaus, Andreas. (2022). Pregnancies and contraceptive use in four African countries during the COVID-19 pandemic. Vienna Yearbook of Population Research. 20. 459–476. 3 indexed citations
3.
Backhaus, Andreas, et al.. (2021). The effect of grandchildren on grandparental labor supply: Evidence from Europe. European Economic Review. 137. 103817–103817. 18 indexed citations
4.
Grieco, Michele, Andreas Backhaus, Yudelsy Antonia Tandrón Moya, et al.. (2021). Dynamics and genetic regulation of leaf nutrient concentration in barley based on hyperspectral imaging and machine learning. Plant Science. 315. 111123–111123. 26 indexed citations
5.
Lück, Stefanie, et al.. (2020). “Macrobot”: An Automated Segmentation-Based System for Powdery Mildew Disease Quantification. Plant Phenomics. 2020. 5839856–5839856. 28 indexed citations
6.
Kicherer, Anna, Andreas Backhaus, Udo Seiffert, et al.. (2020). Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards. Plant Methods. 16(1). 142–142. 31 indexed citations
7.
Backhaus, Andreas. (2020). Common Pitfalls in the Interpretation of COVID-19 Data and Statistics. Intereconomics. 55(3). 162–166. 21 indexed citations
8.
Backhaus, Andreas, et al.. (2019). Transfer Learning for transferring machine-learning based models among hyperspectral sensors.. The European Symposium on Artificial Neural Networks. 1 indexed citations
9.
10.
Backhaus, Andreas, Udo Seiffert, William Thomas, et al.. (2019). Optimizing the procedure of grain nutrient predictions in barley via hyperspectral imaging. PLoS ONE. 14(11). e0224491–e0224491. 16 indexed citations
11.
Kicherer, Anna, Katja Herzog, Andreas Backhaus, et al.. (2017). Phenoliner: A New Field Phenotyping Platform for Grapevine Research. Sensors. 17(7). 1625–1625. 36 indexed citations
12.
Backhaus, Andreas, Heidrun Beschow, Erika Schümann, et al.. (2017). Genetic regulation of growth and nutrient content under phosphorus deficiency in the wild barley introgression library S42IL. Plant Breeding. 136(6). 892–907. 8 indexed citations
13.
Backhaus, Andreas, et al.. (2016). Non-invasive Presymptomatic Detection of Cercospora beticola Infection and Identification of Early Metabolic Responses in Sugar Beet. Frontiers in Plant Science. 7. 1377–1377. 51 indexed citations
14.
Mauchline, Tim H., Govind Chandra, Toby Samuels, et al.. (2015). An analysis of P seudomonas genomic diversity in take‐all infected wheat fields reveals the lasting impact of wheat cultivars on the soil microbiota. Environmental Microbiology. 17(11). 4764–4778. 29 indexed citations
15.
Villmann, Thomas, et al.. (2013). Processing Hyperspectral Data in Machine Learning.. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
16.
Backhaus, Andreas, P. Ashok, Bavishna B. Praveen, Kishan Dholakia, & Udo Seiffert. (2012). Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 411–416. 11 indexed citations
17.
Backhaus, Andreas, et al.. (2012). Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting. PUB – Publications at Bielefeld University (Bielefeld University). 632. 4 indexed citations
18.
Backhaus, Andreas, Asuka Kuwabara, Marion Bauch, et al.. (2010). leafprocessor: a new leaf phenotyping tool using contour bending energy and shape cluster analysis. New Phytologist. 187(1). 251–261. 48 indexed citations
19.
Sloan, Jen, Andreas Backhaus, Robert Malinowski, Simon J. McQueen‐Mason, & Andrew J. Fleming. (2009). Phased Control of Expansin Activity during Leaf Development Identifies a Sensitivity Window for Expansin-Mediated Induction of Leaf Growth . PLANT PHYSIOLOGY. 151(4). 1844–1854. 39 indexed citations
20.
Heinke, Dietmar, Andreas Backhaus, Yaoru Sun, & Glyn W. Humphreys. (2007). The Selective Attention for Identification Model (SAIM): Simulating visual search in natural colour images. Lecture notes in computer science. 141–154. 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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