Stefan Gerth

867 citations
32 papers · 617 · h-index 11

Impact in

    • Plant nutrient uptake and metabolism
    • Smart Agriculture and AI
    • Plant Molecular Biology Research
    • Rice Cultivation and Yield Improvement
    • Wheat and Barley Genetics and Pathology
    • Soil Moisture and Remote Sensing

Papers in

Stefan Gerth

32 papers receiving 601 citations

Peers

Stefan Gerth
Comparison fields: 5 of 82
  • Plant Science 315
  • Environmental Engineering 55
  • Molecular Medicine 18
  • Agronomy and Crop Science 36
  • Soil Science 30
Replace Marco Esposito with:
Marco Esposito Italy
Marko Panić Serbia
Jiancheng Zhang China
Raimo Silvennoinen Finland
Ian D. Hartley Canada
Norman Uhlmann Germany
Ziyun Chen China
Talukder Z. Jubery United States
Koushik Banerjee India
Xiu Wang China
Stefan Gerth relative to Marco Esposito Italy Marco Esposito's profile →
Citations per field
00.5×5×10×15×18×
Marco Esposito · 1×
Citations per year

Countries citing papers authored by Stefan Gerth

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Gerth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Gerth, 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 Stefan Gerth Line = papers co-authored together Stefan Gerth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015216
2 202179
3 202069
4 201853
5 202132
6 201121
7 200820
8 202118
9 202216
10 201911
11 201110
12 202210
13 20148
14 20168
15 20207
16 20136
17 20195
18 20204
19 20233
20 20243

About Stefan Gerth

Stefan Gerth is a scholar working on Plant Science, Biomedical Engineering, Computer Vision and Pattern Recognition, Physical and Theoretical Chemistry and Materials Chemistry, having authored 32 papers that have together received 617 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (6 papers), Advanced X-ray and CT Imaging (4 papers), Electrostatics and Colloid Interactions (4 papers), Surfactants and Colloidal Systems (3 papers), Quantum Dots Synthesis And Properties (3 papers), Chalcogenide Semiconductor Thin Films (3 papers), Spectroscopy and Chemometric Analyses (2 papers) and Rice Cultivation and Yield Improvement (2 papers). The work is most often cited by research in Plant Science (315 citations), Environmental Engineering (55 citations), Molecular Medicine (18 citations), Agronomy and Crop Science (36 citations) and Soil Science (30 citations). Stefan Gerth has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Anja Eggert, Norman Uhlmann, Daniel Pflugfelder, Ralf Metzner, Ulrich Schurr, Siegfried Jahnke, Dagmar van Dusschoten, Susanne Heid, Thomas Distler and Rainer Detsch. Their work appears in journals such as Plant Methods, Frontiers in Plant Science, Journal of Nondestructive Evaluation, Plant Phenomics and Powder Technology.

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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