Konrad Mayer

933 total citations
40 papers, 631 citations indexed

About

Konrad Mayer is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Konrad Mayer has authored 40 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Atmospheric Science and 10 papers in Global and Planetary Change. Recurrent topics in Konrad Mayer's work include Forest ecology and management (9 papers), Industrial Vision Systems and Defect Detection (9 papers) and Tree-ring climate responses (8 papers). Konrad Mayer is often cited by papers focused on Forest ecology and management (9 papers), Industrial Vision Systems and Defect Detection (9 papers) and Tree-ring climate responses (8 papers). Konrad Mayer collaborates with scholars based in Austria, Germany and Portugal. Konrad Mayer's co-authors include Michael Grabner, Silvio Schueler, Raphael Klumpp, Notburga Gierlinger, Herbert Ramoser, P. Bock, Filipe Campelo, Martin Felhofer, I. Holl and Nannan Xiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and PLANT PHYSIOLOGY.

In The Last Decade

Konrad Mayer

40 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konrad Mayer Austria 15 207 199 193 168 73 40 631
Annette Stahl Norway 13 134 0.6× 101 0.5× 127 0.7× 9 0.1× 45 0.6× 60 896
Thiéry Constant France 13 39 0.2× 205 1.0× 552 2.9× 53 0.3× 178 2.4× 35 1.1k
Richard Hoadley United Kingdom 5 25 0.1× 100 0.5× 62 0.3× 143 0.9× 58 0.8× 14 519
Shangshu Cai China 13 104 0.5× 50 0.3× 123 0.6× 42 0.3× 16 0.2× 34 598
Zhen Cheng China 15 272 1.3× 79 0.4× 34 0.2× 65 0.4× 60 0.8× 49 789
Estíbaliz Martínez Spain 9 61 0.3× 60 0.3× 42 0.2× 63 0.4× 18 0.2× 24 312
Andrea Ventura Italy 9 89 0.4× 311 1.6× 86 0.4× 42 0.3× 55 0.8× 31 564
Christoph Gollob Austria 12 45 0.2× 73 0.4× 220 1.1× 10 0.1× 54 0.7× 36 683
Chiara Torresan Italy 11 45 0.2× 163 0.8× 217 1.1× 20 0.1× 41 0.6× 16 684
Shaohua Wang China 13 105 0.5× 38 0.2× 13 0.1× 16 0.1× 47 0.6× 30 419

Countries citing papers authored by Konrad Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Konrad Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Konrad Mayer. A scholar is included among the top collaborators of Konrad Mayer 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 Konrad Mayer. Konrad Mayer 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.
Vuolo, Francesco, et al.. (2025). Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data. European Journal of Agronomy. 170. 127701–127701. 2 indexed citations
2.
Navacchi, Claudio, Isabella Pfeil, Mariëtte Vreugdenhil, et al.. (2024). Evaluation of limiting factors for SAR backscatter based cut detection of alpine grasslands. SHILAP Revista de lepidopterología. 9. 100117–100117. 6 indexed citations
3.
Huss, Jessica C., Martin Felhofer, Konrad Mayer, et al.. (2023). Hydrolyzable tannins are incorporated into the endocarp during sclerification of the water caltrop Trapa natans. PLANT PHYSIOLOGY. 194(1). 94–105. 4 indexed citations
4.
Domίnguez, Eva, Konrad Mayer, Nannan Xiao, et al.. (2022). 3D (x-y-t) Raman imaging of tomato fruit cuticle: Microchemistry during development. PLANT PHYSIOLOGY. 191(1). 219–232. 22 indexed citations
5.
Haslinger, Klaus & Konrad Mayer. (2022). Early spring droughts in Central Europe: Indications for atmospheric and oceanic drivers. Atmospheric Science Letters. 24(2). 5 indexed citations
6.
Dietz, A.J., Celia A. Baumhoer, Luca Cattani, et al.. (2022). Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 14(23). 6091–6091. 12 indexed citations
7.
8.
Bock, P., Martin Felhofer, Konrad Mayer, & Notburga Gierlinger. (2021). A Guide to Elucidate the Hidden Multicomponent Layered Structure of Plant Cuticles by Raman Imaging. Frontiers in Plant Science. 12. 793330–793330. 20 indexed citations
9.
Schueler, Silvio, et al.. (2021). Evolvability of Drought Response in Four Native and Non-native Conifers: Opportunities for Forest and Genetic Resource Management in Europe. Frontiers in Plant Science. 12. 648312–648312. 17 indexed citations
10.
Mayer, Konrad, Michael Grabner, Sabine Rosner, Martin Felhofer, & Notburga Gierlinger. (2020). A synoptic view on intra-annual density fluctuations in Abies alba. Dendrochronologia. 64. 125781–125781. 14 indexed citations
11.
Grabner, Michael, et al.. (2019). Intra-specific variation in growth and wood density traits under water-limited conditions: Long-term-, short-term-, and sudden responses of four conifer tree species. The Science of The Total Environment. 660. 631–643. 38 indexed citations
12.
Campelo, Filipe, Konrad Mayer, & Michael Grabner. (2018). xRing—An R package to identify and measure tree-ring features using X-ray microdensity profiles. Dendrochronologia. 53. 17–21. 17 indexed citations
13.
Fluch, Silvia, Thomas Geburek, Michael Grabner, et al.. (2018). Drought Sensitivity of Norway Spruce at the Species’ Warmest Fringe: Quantitative and Molecular Analysis Reveals High Genetic Variation Among and Within Provenances. G3 Genes Genomes Genetics. 8(4). 1225–1245. 54 indexed citations
14.
Schueler, Silvio, et al.. (2015). Inter- and intra-specific variation in drought sensitivity in Abies spec. and its relation to wood density and growth traits. Agricultural and Forest Meteorology. 214-215. 430–443. 72 indexed citations
15.
Huber-Mörk, Reinhold, et al.. (2009). Fast and efficient colour inspection using sets of ellipsoidal regions. 18(3). 345–361. 1 indexed citations
16.
Huber-Mörk, Reinhold, et al.. (2007). Region based matching for print process identification. Pattern Recognition Letters. 28(15). 2037–2045. 5 indexed citations
17.
Mayer, Konrad, et al.. (2007). Design Considerations for Scalable High-Performance Vision Systems Embedded in Industrial Print Inspection Machines. EURASIP Journal on Embedded Systems. 2007. 1–10. 4 indexed citations
18.
Mayer, Konrad, et al.. (2007). Geometry Unit for Analysis of Warped Image Features on Programmable Chips. EURASIP Journal on Embedded Systems. 2007. 1–8. 2 indexed citations
19.
Mayer, Konrad, et al.. (2003). Dagobert - A New Coin Recognition and Sorting System. 329–338. 47 indexed citations
20.
Mayer, Konrad, et al.. (2003). Novel development tool for software pipeline optimization for VLIW-DSPs used in real-time image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5012. 132–132. 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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