Andreas Backhaus

934 citations
38 papers · 729 · h-index 17

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Plant Molecular Biology Research
    • Plant-Microbe Interactions and Immunity
    • Leaf Properties and Growth Measurement
    • Wheat and Barley Genetics and Pathology

Papers in

Andreas Backhaus

37 papers receiving 716 citations

Peers

Andreas Backhaus
Comparison fields: 5 of 79
  • Analytical Chemistry 124
  • Plant Science 412
  • Ecology 155
  • Modeling and Simulation 13
  • Media Technology 20
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Andreas Backhaus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Backhaus Line = papers co-authored together Andreas Backhaus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201582
2 201056
3 201656
4 201745
5 200942
6 201536
7 202034
8 202034
9 202032
10 202132
11 202031
12 201130
13 201930
14 201028
15 201327
16 202021
17 201919
18 201117
19
Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning
201212
20 20059

About Andreas Backhaus

Andreas Backhaus is a scholar working on Analytical Chemistry, Media Technology, Plant Science, Ecology and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 729 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (14 papers), Smart Agriculture and AI (9 papers), Remote Sensing in Agriculture (9 papers), Remote-Sensing Image Classification (7 papers), Visual Attention and Saliency Detection (3 papers), Visual perception and processing mechanisms (3 papers), Plant Molecular Biology Research (2 papers) and Leaf Properties and Growth Measurement (2 papers). The work is most often cited by research in Analytical Chemistry (124 citations), Plant Science (412 citations), Ecology (155 citations), Modeling and Simulation (13 citations) and Media Technology (20 citations). Andreas Backhaus has collaborated with scholars based in Germany, United Kingdom and Canada. Frequent co-authors include Udo Seiffert A, Chris Muris, Inmaculada Martínez‐Zarzoso, Andrew J. Fleming, Dietmar G. Heinke, Anna Kicherer, Reinhard Töpfer, Hans‐Peter Mock, Klaus Pillen and Guido Sanguinetti. Their work appears in journals such as Plant Science, PLANT PHYSIOLOGY, Remote Sensing, Plant Phenomics and Environmental Microbiology.

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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