Alexander Bucksch

2.8k total citations
48 papers, 1.7k citations indexed

About

Alexander Bucksch is a scholar working on Plant Science, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Alexander Bucksch has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 16 papers in Environmental Engineering and 8 papers in Nature and Landscape Conservation. Recurrent topics in Alexander Bucksch's work include Remote Sensing and LiDAR Applications (15 papers), Plant nutrient uptake and metabolism (14 papers) and Plant Molecular Biology Research (11 papers). Alexander Bucksch is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Plant nutrient uptake and metabolism (14 papers) and Plant Molecular Biology Research (11 papers). Alexander Bucksch collaborates with scholars based in United States, Netherlands and Thailand. Alexander Bucksch's co-authors include Roderik Lindenbergh, Jonathan P. Lynch, Joshua S. Weitz, James Burridge, Christopher N. Topp, Massimo Menenti, Anjali S. Iyer‐Pascuzzi, John Harer, Brad T. Moore and Philip N. Benfey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Alexander Bucksch

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Bucksch United States 20 1.2k 435 225 205 192 48 1.7k
Jiangchuan Fan China 15 593 0.5× 274 0.6× 315 1.4× 78 0.4× 87 0.5× 34 946
Dionisio Andújar Spain 25 1.2k 1.0× 433 1.0× 588 2.6× 80 0.4× 25 0.1× 65 1.7k
David M. Deery Australia 14 1.0k 0.9× 330 0.8× 605 2.7× 34 0.2× 228 1.2× 22 1.4k
Mahendra Dia United States 11 286 0.2× 292 0.7× 184 0.8× 88 0.4× 91 0.5× 21 740
Xavier Sirault Australia 22 1.7k 1.4× 429 1.0× 673 3.0× 37 0.2× 281 1.5× 38 2.2k
Michael P. Pound United Kingdom 21 1.8k 1.5× 299 0.7× 444 2.0× 24 0.1× 151 0.8× 50 2.3k
Nadia Shakoor United States 16 829 0.7× 347 0.8× 592 2.6× 25 0.1× 233 1.2× 36 1.4k
Shichao Jin China 27 806 0.7× 1.0k 2.3× 915 4.1× 284 1.4× 55 0.3× 69 2.0k
Shouyang Liu China 21 1.1k 0.9× 537 1.2× 987 4.4× 46 0.2× 59 0.3× 45 1.7k

Countries citing papers authored by Alexander Bucksch

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Bucksch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Bucksch

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Bucksch. A scholar is included among the top collaborators of Alexander Bucksch 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 Alexander Bucksch. Alexander Bucksch 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.
Hossain, Kabir M., et al.. (2025). LeafyResNet: Fusarium wilt detection in lettuce using UAV RGB imaging and advanced deep learning model. Smart Agricultural Technology. 12. 101612–101612.
2.
Hossain, Kabir M., et al.. (2025). Fiber Bragg Grating-Based Sensing System for Non-Destructive Root Phenotyping With ResNet Prediction. IEEE Photonics Technology Letters. 37(8). 473–476.
3.
Temme, Andries A., Kelly L. Kerr, Rishi R. Masalia, et al.. (2024). The genomic basis of nitrogen utilization efficiency and trait plasticity to improve nutrient stress tolerance in cultivated sunflower. Journal of Experimental Botany. 75(8). 2527–2544. 2 indexed citations
4.
5.
Pingault, Lise, et al.. (2024). DIRT/µ: automated extraction of root hair traits using combinatorial optimization. Journal of Experimental Botany. 76(2). 285–298.
6.
Bucksch, Alexander, et al.. (2023). Three‐dimensional phenotyping of peach tree‐crown architecture utilizing terrestrial laser scanning. SHILAP Revista de lepidopterología. 6(1). 4 indexed citations
7.
Liu, Suxing, et al.. (2023). OPEN leaf : an open‐source cloud‐based phenotyping system for tracking dynamic changes at leaf‐specific resolution in Arabidopsis. The Plant Journal. 116(6). 1600–1616. 3 indexed citations
8.
Liu, Suxing, et al.. (2021). DIRT/3D: 3D root phenotyping for field-grown maize ( Zea mays ). PLANT PHYSIOLOGY. 187(2). 739–757. 37 indexed citations
9.
Kawa, Dorota, et al.. (2021). Characterization of growth and development of sorghum genotypes with differential susceptibility to Striga hermonthica. Journal of Experimental Botany. 72(22). 7970–7983. 6 indexed citations
10.
Jalihal, Amogh P., et al.. (2021). Overcoming the Challenges to Enhancing Experimental Plant Biology With Computational Modeling. Frontiers in Plant Science. 12. 687652–687652. 5 indexed citations
11.
Herrero-Huerta, Mónica, Alexander Bucksch, Eetu Puttonen, & Katy Martin Rainey. (2020). Canopy Roughness: A New Phenotypic Trait to Estimate Aboveground Biomass from Unmanned Aerial System. Plant Phenomics. 2020. 6735967–6735967. 23 indexed citations
12.
Binder, Brad M., Alexander Bucksch, Cynthia Chang, et al.. (2017). Reshaping Plant Biology: Qualitative and Quantitative Descriptors for Plant Morphology. Frontiers in Plant Science. 8. 117–117. 37 indexed citations
13.
Burridge, James, et al.. (2016). Genome-wide association mapping and agronomic impact of cowpea root architecture. Theoretical and Applied Genetics. 130(2). 419–431. 59 indexed citations
14.
Bucksch, Alexander, Greg Turk, & Joshua S. Weitz. (2014). The Fiber Walk: A Model of Tip-Driven Growth with Lateral Expansion. PLoS ONE. 9(1). e85585–e85585. 3 indexed citations
15.
Bucksch, Alexander, et al.. (2014). ClearedLeavesDB: an online database of cleared plant leaf images. Plant Methods. 10(1). 8–8. 22 indexed citations
16.
Bucksch, Alexander. (2014). A practical introduction to skeletons for the plant sciences. Applications in Plant Sciences. 2(8). 25 indexed citations
17.
Bucksch, Alexander, James Burridge, Larry M. York, et al.. (2014). Image-Based High-Throughput Field Phenotyping of Crop Roots. PLANT PHYSIOLOGY. 166(2). 470–486. 197 indexed citations
18.
Topp, Christopher N., Anjali S. Iyer‐Pascuzzi, Jill T. Anderson, et al.. (2013). 3D phenotyping and quantitative trait locus mapping identify core regions of the rice genome controlling root architecture. Proceedings of the National Academy of Sciences. 110(18). E1695–704. 204 indexed citations
19.
Mileyko, Yuriy, Alexander Bucksch, Brad T. Moore, et al.. (2012). GiA Roots: software for the high throughput analysis of plant root system architecture. BMC Plant Biology. 12(1). 116–116. 260 indexed citations
20.
Bucksch, Alexander, et al.. (2008). Three-Dimensional Laser Imaging as a Valuable Tool for Specifying Changes in Breast Shape After Augmentation Mammaplasty. Aesthetic Plastic Surgery. 33(2). 191–195. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jiangchuan Fan Breakdown of academic impact, for papers by Dionisio Andújar Breakdown of academic impact, for papers by David M. Deery Breakdown of academic impact, for papers by Mahendra Dia Breakdown of academic impact, for papers by Xavier Sirault Breakdown of academic impact, for papers by Michael P. Pound Breakdown of academic impact, for papers by Nadia Shakoor Breakdown of academic impact, for papers by Shichao Jin Breakdown of academic impact, for papers by Shouyang Liu
Rankless by CCL
2026